Conference Program

th th December 4 ‐6 , 2020 | Jinan, China

Sponsored By

Organized By Co-Organized By

Venue Jinan Mingya Qianfoshan Hotel | 济南名雅千佛山宾馆

Address: No.19, Wenhua West Road, Lixia District, Jinan | 济南市历下区文化西路 19 号 CONTENTS Agenda Overview……………………………………………………………………..…… 2

Welcome Address………………………………………………………………………… 3

Organizing Committee…………………………………………………………………… 4

Local Information…………………………………………………..………….………… 5

Instructions for Oral Presentations…………….………………….……………….… 6

Introduction of Keynote Speakers……………………………….……………….…… 7

Onsite Technical Sessions at a Glance……………………………….………………… 8

Session A1 Electric Machines……………………………………………………….… 9

Session B1 Energy Development and Market Demand….………………………… 11

Session C1 High Voltage Power Transmission and Insulation Technology…... 13

Session D1 Electronics and Circuit System……………….………………………... 15

Session A2 Distribution Network System and Operation……………………….… 17

Session B2 New Battery and Energy Storage Technology………………..……… 20

Session C2 Advanced Electronic Technology and Engineering………..……….. 22

Session D2 Energy Engineering…………………………..…………………………... 25

Session A3 Power Electronics and Motor Drives…………..…………………….… 27

Session B3 Power Systems……………….………….………………………………… 28

Session C3 Renewable Energy Integration……..………..………………………….. 29

Session D3 Smart Grid and Communication Technology.……..….……………... 30

Session A4 Power Electronics and Motor Drives……………..………………….… 31

Session B4 Power Systems……….………………….………………………………… 33

Session C4 Renewable Energy Integration…..…………..………………………….. 35

Session D4 Smart Grid and Communication Technology……………..……..…... 37

Virtual Conference………………..……………….………..……………………………. 39

1 AGENDA OVERVIEW

Time Event 09:00-17:00 On-site Sign-in and Materials Collection at Hotel Lobby Online Test Session Dec. 4th 09:00-18:00 (Zoom ID: 614 0589 2399 & 624 5346 4789) 15:00-17:00 Presentation of SCEMS 2021 Application 18:00-20:00 Welcome Reception for VIPS

Time Event MC: Zhengshuo Li, Shandong University Welcome Address  Ming Yang, Shandong University  Lesley Arakkal, IAS Chapter and Membership Development Chair 09:30-10:00 Opening Remarks Multifunctional  Wei-Jen Lee, IEEE Fellow, University of Texas at Arlington Hall  MAGYAR Péter, Life Fellow IEEE / IAS Director of Chapter (4th floor) Development 2019- MC: Tianguang Lu, Shandong University Keynote Speech I 10:00-10:40 Dec. 5th Zhao Ma, Shandong University, China 10:40-11:10 Group Photo & Coffee Break Keynote Speech II 11:10-11:50 Shuanglei Feng, China Electric Power Research Institute, China 12:00-13:30 Lunch Foshan Hall No.1 Meeting Room No.4 Meeting Room No.5 Meeting Room 13:30-15:30 (2nd floor) (5th floor) (5th floor) (5th floor) Session A1 Session B1 Session C1 Session D1 15:30-15:50 Coffee Break Foshan Hall No.1 Meeting Room No.4 Meeting Room No.5 Meeting Room 15:50-17:50 (2nd floor) (5th floor) (5th floor) (5th floor) Session A2 Session B2 Session C2 Session D2 18:00-20:00 Dinner & Best Paper Award & SCEMS 2021 Announcement

Time Event Foshan Hall No.1 Meeting Room No.4 Meeting Room No.5 Meeting Room 09:00-10:00 (2nd floor) (5th floor) (5th floor) (5th floor) Session A3 Session B3 Session C3 Session D3 10:00-10:20 Coffee Break Dec. 6th Foshan Hall No.1 Meeting Room No.4 Meeting Room No.5 Meeting Room 10:20-12:00 (2nd floor) (5th floor) (5th floor) (5th floor) Session A4 Session B4 Session C4 Session D4 12:00-13:30 Lunch

09:00-19:00 Virtual Conference

2 WELCOME MESSAGES

Welcome to 2020 IEEE Student Conference on Electric Machines and Systems (SCEMS 2020), which is an integrated crate for the young students and professionals all over the world to embed the technical quality. The conference emphasizes the international environment for sharing of knowledge in our domains, connect yourself to the industrial professionals and multi-disciplinary discussion on the latest advances. The conference has sessions from over our diverse technical committees which cover the complete spectrum of industrial applications.

Sponsored by IEEE and IEEE IAS, the conference is organized by Shandong University, co-organized by school of electrical engineering, Shandong university. Shandong University, under the direct jurisdiction of the Ministry of Education, is a key comprehensive university with a long history, a variety of disciplines, strong academic strength, and distinctive characteristics, which has great influence both at home and abroad. Shandong University is a member university of Project 211 and Project 985, two national key construction projects to support the development of high-quality universities. As one of the first universities finding its name on the list of Project 211 and Project 985, Shandong University has been developing by leaps and bounds in recent years, and each of its undertakings has reached unprecedented levels. The educational quality and competitiveness of the university have been remarkably improved. This improvement in the quality and capability of teaching has greatly increased both its international influence and its ability to serve the country and the local regions. The university has essentially accomplished its transformation from a teaching and research-oriented university to a research-oriented one.

This year, due to COVID-19 pandemic and pervasive travel restrictions in the worldwide, the organizing committee decided to coordinate the conference in two ways: online virtual presentations by Zoom, and onsite attendance at Jinan Mingya Qianfoshan Hotel. The safety and well-being of our participants is of paramount importance to the conference organizing committee all the time.

Focus area of the conferences are AC-DC/DC=DC Converters, Renewable Energy Integration, Smart Grid, Nuclear Power Technologies, Electric and Hybrid Vehicles, Machine Learning/Deep learning, Automation, Image Processing, Control System, Signals and Systems, Big Data Analytics and Data Mining, Data Acquisition， We are pleased to have accepted 172 presentations. The program sessions are being arranged in the conference with the topics covering Electric Machine, Power Electronics and Motor Drives, Power Systems, Renewable Energy Integration and etc.

What’s more, this conference program is highlighted by two keynote speakers: Prof. Zhao Ma from Shandong University and Prof. Shuanglei Feng, China Electric Power Research Institute, China. Special welcome is given to our speakers who are pleased to make contributions to our conference and share their new research ideas with us.

We wish to express our sincere appreciation to all the individuals who have contributed to SCEMS 2020 in various ways, and the gratitude also goes to the technical program committee for their thorough review of all the submissions, which is vital to the success of the conference, and also to the members in the organizing committee and the volunteers who have dedicated their time and efforts in planning, promoting, organizing and helping the conference.

We believe that by this excellent conference, you can get more opportunity for further communication with researchers and practitioners with the common interest in Electric Machines and Systems.

Conference Organizing Committees Jinan, China

CONFERENCE COMMITTEE

Honorable Chairs Xianglong Yang, Shandong University

Wei-Jen Lee, IEEE Fellow, University of Texas at Technical Program Chairs Arlington Xingxu Zhu, Shandong University MAGYAR Péter, Life Fellow IEEE / IAS Director of Chen Feng, Shandong University Chapter Development 2019- / IAS Chapters and Membership Department Chair 2009-2018 Yijing Xu, Shandong University Lesley Arakkal, IAS Chapter and Membership Steering Committee Development Chair Xiaoyi Liu, State Grid of China Technology College Ming Yang, Shandong University Jiangyang Yuan, Shandong University Advisors Shiying Huang, Shandong University Zhaohao Ding, North China Electric Power Bincheng Zhao, Shandong University University Yuan Gao, Shandong University Zhenyuan Zhang, University of Electronic Science Long Pang, Shandong University and Technology of China Yuxin Sun, Shandong University Conference Chairs Lindong Zang, Shandong University Zhengshuo Li, Shandong University Hongzhe Zhang, Shandong University Tianguang Lu, Shandong University Jinyu Wang, Shandong University Technical Program Members MengLin Li, Shandong University Peng Li, Shandong University Tingting Ding, Shandong University Yixiao Yu, Shandong University Zhiyuan Si, Shandong University Conference Co-Chairs Guanjie Wang, Shandong University You Lin, Southern Methodist University Yating Liu, Shandong University Hammad Armghan, National University of Sciences and Technology Yifan Bo, Shandong University Yiran Ma, Shandong University Yu Zhou, Shandong University

Steering Committee Chairs Dongdong Bu, Shandong University Changhang Zhang, Shandong University Haitian Wang, Shandong University Pingfeng Ye, Shandong University Xiaochen Qu, Shandong University Xinyi Jiang, Shandong University

4 Local Information Conference Venue

Jinan Mingya Qianfoshan Hotel (济南名雅千佛山宾馆) Address: No.19, Wenhua West Road, Jinan, China 济南市历下区文化西路 19 号

Jinan Mingya Qianfoshan Hotel is located at No.19, Wenhua West Road, Jinan’s CBD, close to Jinan Qianfoshan Scenic Area and Quancheng Square within a 10-minute walk, and only 1.5 km from Jinan Baotu Spring and Black Tiger Spring, which is only a 20-minute walk. It can be reached within 15 minutes' walk from famous institutions such as Shandong University, Shandong Institute of Physical Education, Shandong Normal University, Shandong Academy of Arts and so on. The trasportation is very convenient to the hotel, only 3.8 kilometers away from the railway station and can be reached directly by bus No. 18.

Accommodation Booking Group Rate: 318 CNY/night ( Breakfast included)

Booking Contact Miss Tang | Tel: 13864188596

Please inform the hotel that you are a participant of "SCEMS 2020" or "International Student Conference on Electrical Engineering and Systems" when booking. You need to provide your name, date of check-in and check-out, room type etc. Please complete your accommodation reservation in advance to avoid full reservation onsite.

Instructions for Oral Presentations

Oral Presentations Onsite

 Timing: a maximum of 20 minutes total, including speaking time and discussion. Please make sure your presentation is well timed and arrive at the designated conference room 15 minutes earlier.  You can use USB flash drive (memory stick) and make sure you scanned viruses in your own computer. Each speaker is required to meet her / his session chair in the corresponding session rooms 10 minutes before the session starts and copy the slide file (PPT or PDF) to the computer.  It is suggested that you email a copy of your presentation to your personal inbox as a backup. If for some reason the files can’t be accessed from your flash drive, you will be able to download them to the computer from your email.  Please note that each session room will be equipped with a LCD projector, screen, point device, microphone, and a laptop with general presentation software such as Microsoft Power Point and Adobe Reader. Please make sure that your files are compatible and readable with our operation system by using commonly used fronts and symbols. If you plan to use your own computer, please try the connection and make sure it works before your presentation.  Videos: If your Power Point files contain videos please make sure that they are well formatted and connected to the main files.

Oral Presentations Online

 To effectively control the time and avoid some unexpected situations, it's advised to test your presentation ahead of time to make sure it can be proceeded normally.  Each presentation is a maximum of 20 minutes in total, including Q&A, please make sure your presentation is well timed.  For zoom skills, you can visit: Please visit: https://support.zoom.us/hc/en-us/articles/201362033- Getting-Started-on-Windows-and-Mac  Link for mainland China to download: www.zoom.com.cn/download  Link for other countries except mainland China to download: https://zoom.us/support/download

Voice Control Rules during the Presentation

 The host will mute all participants while entering the meeting  The host will unmute the speakers' microphone when it is turn for his or her presentation.  Q&A goes after each speech, the participant can raise hand for questions, the host will unmute the questioner.  After Q&A, the host will mute all participants and welcome next speaker.

Dress Code

 Please wear formal clothes or national characteristics of clothing.

KEYNOTE SPEAKERS

Prof. Ma Zhao, Shandong University, China

Speech Title: New Energy LVDC System Development and Trends

Ma Zhao, Ph.D., is a British Royal Chartered Engineer (CEng), a Fellow of IET (the British Institute of Engineering Technology (FIET), a foreign Fellow of the Chinese Society of Electrical Engineering (FCSEE), a national distinguished expert, a Chair professor of Shandong University, and a special expert of China Electric Power Research Institute (CEPRI). He has 38 years of working experience in scientific research, manufacturing, operation, consulting and education in the field of power industry. He is currently chairman of SC6 committee of CIGRE China and Asia Pacific region, a member of CIRED China national technical committee, and chair of S4 (distributed energy and multi energy complementary committee) , a member of IEC SYC LVDC Committee, and director of advisory committee of IEEE PES DC System Technical Committee. His main research directions include: advanced distribution system and distributed energy, intelligent electrical equipment design / technical consultation, medium and low voltage DC power distribution and utilization, new generation of integrated energy system, application of artificial intelligence in power system, etc. In recent five years, he has published more than 60 academic papers, CO authored two English CIGRE TB monographs, authorized 8 Chinese invention patents, 3 software works, and won 1 Geneva International Invention Gold Award. "Comprehensive assessment platform of distribution network health index" is included by the United Nations World Intellectual Property Organization (WIPO). He was recently awarded the CIGRE Technology Award 2020.

Prof. Shuanglei Feng, China Electric Power Research Institute, China

Speech Title: Research and Application of Electric Power Meteorological Technology

Feng Shuanglei, Ph.D, is professorate senior engineer, deputy director of renewable energy research center, China electric power research institute. Dr. Feng is an electrical engineer with special experience in the wind/solar energy sector, especially in wind/PV power forecasting. In recent years, his research work mainly focuses on the research and application of electric power meteorology. He has received 2 National Science and Technology Progress Awards and was supported by Ten Thousand Talent program: Young top-notch talent and Beijing nova program.

Technical Sessions at a Glance

December 5th, 2020 Foshan Hall on 2nd floor A1-Electric Machines S26,S76,S175,S189,S201,S225 ( 2 楼佛山厅) B1-Energy No.1 Meeting Room on Development and S28,S178,S183,S190,S194,S226 5th Floor (5 ) Market Demand 楼一号厅 13:00-15:30 C1-High Voltage Power No.4 Meeting Room on Transmission and S97,S108,S125,S151,S169,S172 5th Floor (5 四 ) Insulation Technology 楼号厅 D1-Electronics and No.5 Meeting Room on S20,S33,S69,S88,S90,S92 Circuit System 5th Floor (5 楼五号厅) nd A2-Distribution Network S14,S22,S64,S110,S171,S223, Foshan Hall on 2 floor System and Operation S1004 ( 2 楼佛山厅) B2-New Battery and S94,S100,S121,S182,S184,S211, No.1 Meeting Room on Energy Storage S227 5th Floor (5 ) Technology 楼一号厅 15:50-18:10 C2-Advanced No.4 Meeting Room on Electronic Technology S11,S51,S93,S132,S179,S222,S224 5th Floor (5 四 ) and Engineering 楼号厅 No.5 Meeting Room on D2-Energy Engineering S49,S71,S140,S160,S197,S203 5th Floor (5 楼五号厅)

December 6th, 2020 nd A3-Power Electronics Foshan Hall on 2 floor S8,S82,S106, and Motor Drives ( 2 楼佛山厅) No.1 Meeting Room on B3-Power Systems S52,S84,S98 5th Floor (5 楼一号厅) 9:00-10:00 C3-Renewable Energy No.4 Meeting Room on S29,S50,S56 Integration 5th Floor (5 楼四号厅) D3-Smart Grid and No.5 Meeting Room on Communication S74,S95,S109 5th Floor (5 五 ) Technology 楼号厅 nd A4-Power Electronics Foshan Hall on 2 floor S152,S196,S198,S217,S1001 and Motor Drives ( 2 楼佛山厅) No.1 Meeting Room on B4-Power Systems S102,S145,S177,S193,S195,S142 5th Floor (5 楼一号厅) 10:20-12:10 C4-Renewable Energy No.4 Meeting Room on S58,S59,S78,S114,S214 Integration 5th Floor (5 楼四号厅) D4-Smart Grid and No.5 Meeting Room on Communication S126,S136,S161,S215,S216 5th Floor (5 五 ) Technology 楼号厅

Technical Sessions on Dec. 5th

Session A1: Electric Machines Session Chair: Wenliang Zhao

Venue: Foshan Hall on 2nd floor ( 2 楼佛山厅) Duration: 13:30-15:30 (Dec. 5th, 2020)

Simulation of Field-to-line Coupling of Lightning Electromagnetic Interference in Wind Turbine Xiaohui Zhu, Li Zhang, Youliang Sun, Bilal Iqbal Ayubi Shandong University Presenter: Xiaohui Zhu

After lightning strikes the wind turbine, the lightning current flows into the ground along S26 the tower, generating electromagnetic pulses inside the tower, which poses a great 13:30-13:50 threat to the electronic devices inside the tower and affects the safe and stable operation of the wind turbine. In order to study the lightning electromagnetic environment of the wind turbine tower, the wind turbine tower was modeled by simulation software. The influence of the electromagnetic field distribution inside the tower and the grounding method of the internal cable shielding layer on the induced voltage and current of the lightning electromagnetic field on the cable during a lightning strike is analyzed, which provides theoretical support for the protection of the weak current system inside the wind turbine tower during a lightning strike and has certain reference value.

An Adaptive Short-term Frequency Stabilization Method for Doubly Fed Induction Generators Considering Power Margins Changwei Li, Peng Zhang, Zhaoyang Jin, Xigui Wang Shandong University Presenter: Zhaoyang Jin

Long time operation of a doubly fed induction generator (DFIG) at its power limit is likely S76 to cause mechanical fatigue problems, especially in the high wind speed condition. To 13:50-14:10 address this problem, this paper proposes a new short-term frequency stabilization method for DFIGs based on the proposed enhanced dynamic droop control. The dynamic droop gain of the proposed method is weighted by the power margin so that the total time of working at the power limit of the DFIG is limited. The proposed method is applied to a three-bus model system in EMTP-RV. The simulation result confirms the proposed method’s capability to reduce mechanical fatigues of DFIGs while having good frequency stabilization performances in terms of steady state frequency and secondary frequency drop.

Effect of Power to Gas on Integrated Electricity-Gas System with Uncertain Wind Generation Han Gao and Zhengshuo Li Shandong University Presenter: Han Gao S175 This paper studies the effect of power to gas (P2G) facilities on an integrated electricity- 14:10-14:30 gas system (IEGS) to deal with the challenge of wind generation uncertainty. A commonly used steady-state dispatch model of the IEGS is first presented, where the uncertainty in the wind power is captured in the form of a versatile probability distribution model. The associated chance-constraints are thus transformed into deterministic counterparts. Then a piecewise linearization method is adopted to resolve the nonlinearity in this dispatch model. Case studies have identified that P2G facilities can

convert excessive wind energy into natural gas and thus play a positive role in reducing overall operational cost, providing downward spinning reserve and enhancing the safety of an IEGS.

Coordinated Control Scheme of Thermal Power Unit Considering Wind Power Connection Hongbo Sun, Jian Zhang, Yu Zhang, Chenhui Zhang Binzhou Power Supply Company of State Grid Shandong Electric Power Company， School of Electrical Engineering of Shandong University Presenter: Chenhui Zhang

S189 Permanent magnet synchronous generator (PMSG) based wind turbine (WT) 14:30-14:50 participating in frequency regulation must consider the termination, but the termination inevitably leads to frequency secondary drop. This paper propose a control strategy introducing the frequency regulation functions of thermal power units and PMSG, and analyzes the similarities between the two. On this basis, a coordinated frequency regulation strategy for thermal power considering wind power generation is proposed. On one hand, this strategy can effectively release the boiler heat storage to support the frequency, and improve the frequency stability of the system. On the other hand, this strategy speeds up the burning rate of boiler to optimize boiler pressure performance.

Design of a 35kW Permanent Magnet Synchronous Motor for Electric Vehicle Equipped with Nonuniform Airgap Rotor Feng Liu, Xiuhe Wang School of Electrical Engineering, Shandong University Presenter: Feng Liu

This paper presents a successful design of a 35kW nonuniform airgap permanent S201 magnet synchronous motor (PMSM) developed for electric vehicles. Nonuniform airgap 14:50-15:10 rotor periphery making airgap length maximize at the quadrature axis and minimize at the direct axis is employed to reduce harmonics of the airgap flux density and no-load back EMF. Systematic analysis, including pole-arc coefficient, air gap ratio, stator configuration and slot type, is used on the proposed motor by finite element analysis. Finite element analyses highlight advantages of the designed nonuniform airgap PMSM by comparing with conventional PMSM. In order to further verify the rationality of the structure and ensure the safe and reliable operation of the motor, multi-physical field analysis is applied to nonuniform airgap PMSM.

Anomaly Detection of Wind Turbine Gearbox based on Digital Twin Drive Xiangjun Zeng, Ming Yang, Yifan Bo, Xianglong Yang, Chen Feng, Yu Zhou Shandong University Presenter: Xiangjun Zeng

Anomaly detection for wind turbines (WTs) can improve their operational reliability and reduce wind farm operators' operation and maintenance costs. In this paper, a new WT S225 anomaly detection method based on a digital twin drive is proposed. The method 15:10-15:30 combines the advantages of data-driven methods and model simulation technology. It can use actual WT SCADA data to guide the construction of simulation models. Meanwhile, the simulation analysis results can also be used to verify whether the actual data analysis results are credible. Compared with a single data analysis method or a single model simulation analysis method, the proposed method can improve the reliability of anomaly detection results through the interaction of actual WT data analysis and the virtual simulation model analysis. The proposed method is verified by a WT with gearbox failure, and the data analysis result is consistent with the simulation result, proving the effectiveness of the method.

10 Session B1: Energy Development and Market Demand Session Chair: Cheng Feng Venue: No.1 Meeting Room at 5th Floor (5 楼一号厅) Duration: 13:30-15:30 (Dec. 5th, 2020)

Quasi-Monte Carlo Method for Probabilistic Power Flow Considering Uncertainty of Heat Loads Jiting Gu, Lebing Zhao and Chao Zhu Zhejiang University Presenter: Lebing Zhao

The rapid development of the modern energy systems enhances coupling of electric and heat loads, while thermoelectric coupling devices greatly increase the flexibility of power system operation, satisfying the multi-energy demand of the users more efficiently. However, the stochastic nature of heat loads poses acute threats to the S28 operation of the power systems, which requires a highly accurate probability power flow 13:30-13:50 method to support the decision-making. On the other hand, huge computational burden seriously impairs the computational efficiency of traditional Monte Carlo simulation (MCS) methods, limiting the application in theoretical research and engineering practice. This shows that the existing analysis methods can be further improved. This paper presents a quasi-Monte Carlo method for probabilistic power flow, which takes the uncertainty of heat loads into consideration. In order to reduce the computation burden, the proposed approach exploits quasi-Monte Carlo methods in the sampling procedure. The comprehensive numerical experiments demonstrate that the probabilistic characteristic of heat loads causes huge influences on the of power system operation, and therefore cannot be ignored. The superior efficiency of the algorithm in this paper has also been verified in the case studies.

Game Theory based Optimal Pricing Strategy for V2G Participating in Demand Response Ping Chen, Lu Han, Hui Ren, Aiwei Zhang Department of Electrical Engineering, North China Electric Power University Presenter: Lu Han

Aggregators, as the interface of electric vehicles (EVs) and distribution system, are the market agents of EVs to participate in demand response (DR) and other balancing services. Aggregators can enlarge benefit room from Vehicle to Grid (V2G) by providing S178 flexible V2G price to EV users as long as they can secure a certain amount of V2G 13:50-14:10 energy. In order to be competitive among fellow aggregators, aggregator needs to study V2G pricing strategy. Distribution companies, aggregators, and EV users have their own independent benefit maximization objectives as independent entities, and the decision variables of different entities interact and restrict each other. In this study, EV user’s and aggregator’s benefit model are established, which considering the historical charging cost, the cost of battery loss in V2G process and users’ inconvenience cost. The benefits of aggregator and EV users are set as the game factors, and the optimal V2G pricing strategy for each aggregator is obtained by using Stackelberg game during game of the multi-stakeholders. In this paper, the simulation of V2G price for 750 EVs and 3 aggregators is carried out, and the impact of increasing number of EV users on each aggregator under this pricing strategy is verified.

A Control Strategy Based on Deep Reinforcement Learning Under the Combined Wind- solar Storage System Shiying Huang, Ming Yang, Changhang Zhang, Jiangyang Yun, Yuan Gao, Peng Li Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University Presenter: Shiying Huang

The cooperation of hybrid system composed of wind power, photovoltaic power and S183 energy storage system(ESS) in the power market can effectively help improve the 14:10-14:30 income of renewable generation. The traditional power network scheduling approach usually starts with power prediction and then optimizes the scheduling, which can easily lead to information loss and modeling error. To solve this problem, this paper proposes an energy storage system control strategy based on deep reinforcement learning (DRL) in the scene of the combined wind-solar storage system. Deep Q Network (DQN) algorithm is introduced to realize the coordination of the control of the ESS with the output of wind power and photovoltaic power, so as to maximize the benefits of renewable energy generators in the power market.

Comparison of Community-Market Designs: Centralized and Peer-to-peer Trading Congcong Liu, Zhengshuo Li School of Electrical Engineering, Shandong University Presenter: Congcong Liu

The rapid development of distributed energy resources has brought in challenges to the real-time balance between electricity supply and demand. In this context, a suitable market design not only solves the problem of resource allocation, but also maximizes S190 social welfare. This paper compares two typical community market designs: centralized 14:30-14:50 manager-based energy market and the peer-to-peer energy trading. Both the model of the manager-based energy market and a continuous double auction based peer-to-peer trading are presented. In case studies, we quantitatively compare these two market designs in terms of social welfare, total payment, and energy trading volume. The results indicate that the manager-based energy market facilitates trading energy within the community and, if necessary, with external communities, but it requires collecting information of every market participants and has to solve a centralized optimization problem. In contrast, for an energy self-sustaining community, peer-to-peer energy trading might be a superb design because it is decentralized, flexible, and privacy- preserving.

Multi-objective Coordinated Operation for Multi-Energy Hub Considering Heat Network Model Shuai He, Nian Liu, Ruizhi Li North China Electric Power University Presenter: Shuai He

Energy Hub is an important part of the energy conversion supply process, which integrates multi energy forms to effectively improve energy efficiency. In order to S194 improve the efficiency of energy utilization and also consider the cost, a multi-objective 14:50-15:10 optimization model including exergy loss and operation cost is established. Due to EH and users are connected by heat network, the thermal network is modeled. A heat network model which considers the time delay and loss is established, and multiple types of thermal loads has been considered. Thus, a multi-objective coordinated operation framework for multi-EH considering thermal network model is proposed. Further, a method to solve the Pareto front and a reference method based on Nash bargain for selecting a final result is given, which can be easily solved by CPLEX. Finally, numerical studies with three EHs demonstrate the effectiveness of the proposed method.

Multi-area Peer-to-Peer Energy Trading Haotian Yao, Shuai Hu, Yue Xiang and Junyong Liu Sichuan University Presenter: Haotian Yao

With the influx of third-party capitals, the traditional centralized operation problem is transformed into multi-area autonomous optimization problems charged by multiple S226 aggregators, and the multi-area energy trading market is springing up. Considering 15:10-15:30 different self-interests and collaborative relationships of multiple aggregators, the multi- area peer-to-peer (P2P) energy trading mechanism is proposed in this paper. First, a bi-level hybrid architecture of the distributed P2P energy trading market is constructed. Then, a multi-area P2P energy trading algorithm is proposed for the trading negotiation. Furthermore, the relay transaction form is proposed for the energy trading between aggregators without trading connection. Finally, the proposed methodology is implemented and benchmarked on an actual urban distribution system. The effectiveness of the proposed method is verified in terms of promoting the consumption of renewable energy sources (RES) and improving multi-area economic benefits.

Session C1: High Voltage Power Transmission and Insulation Technology Session Chair: Wen Si

Venue: No.4 Meeting Room at 5th Floor (5 楼四号厅) Duration: 13:30-15:30 (Dec. 5th, 2020)

Hybrid Line Fault Location Method Based on Frequency Characteristics of Wave Speed Tao Yang, Zhanjun Gao, Peng Zong, Jinshuang Mu Shandong University Presenter: Tao Yang

In the hybrid line composed of overhead line and cable, the traditional two-terminal S97 ranging method is no longer applicable due to the inconsistency of wave velocity and 13:30-13:50 wave impedance. When locating faults on such lines, it is necessary to determine the faulty section before locating. For the above problems, this paper proposes a two- terminal ranging algorithm based on the information of three measuring points. The fault distance can be calculated according to the traveling wave at the connection point and the two ends of the hybrid line. In the improved ranging algorithm, the characteristic of wave velocity varying with frequency is considered, and the two-terminal ranging algorithm is improved. Finally, the accuracy of the proposed algorithm is verified by the simulation of PSCAD and MATLAB.

Improvement and Modeling of Dynamic Response Characteristics for Aggregate Thermostatically Controlled Loads Yunfeng Ma, Yang Yu, Yazhou Fan, Zengqiang Mi, Huowen Peng, Jixing Wang, Xiangzhan Meng North China Electric Power University Presenter: Yunfeng Ma

S108 This paper analyzes and models the dynamic response characteristics (DRC) of 13:50-14:10 aggregate thermostatically controlled loads (TCLs) under thermostat control mode. To improve TCLs’ aggregate power characteristics, a practical safe protocol (PSP) is proposed based on existing safe protocol. Then, a wide-range transport model is built to describe TCLs’ dynamics under PSP. Moreover, its finite-difference discretization model is derived. Main contribution in the research is that the proposed model considers improving dynamic response characteristics and facilitating to model aggregate dynamics simultaneously, which provides a foundation for TCLs to participate in demand response.

Suppression Measures for Overvoltage of Single-Core Cable Sheath Caused by Harmonics and Inrush Current Fusheng Guo, Bin Liu，Xiaoqing Li, Jing Zhang, Zhihai Tao, Zhiyuan Lv, Weihan Zhou, Yongqing Wang, Xiaoming Luan Yantai Power Supply Company，State Grid Shandong Electrical Power Company Shandong University Presenter: Xiaoming Luan

The calculation and suppression measures of single-core cable sheath voltage is limited S125 to the power frequency. However, the influence of harmonics and inrush current on the 14:10-14:30 sheath layer overvoltage is not considered. Therefore, this paper proposes an analysis method and suppression measures for single-core cable sheath overvoltage considering harmonics and inrush current. First, the calculation of equivalent electrical parameters of the cable is proposed based on the internal modeling of single-core cable. Secondly, the equivalent circuit of the cable with the sheath single-ended grounding is proposed, and the voltage calculation formula of the sheath to the ground is derived. The analysis method of the harmonic and inrush current induction in the sheath and the transmission law of the cable core current-sheath layer voltage are further summarized. Accordingly, a method of suppressing the sheath layer harmonic overvoltage and inrush overvoltage is proposed. Finally, a 35kV single-core cable power model is built in PSCAD/EMTDC for simulation verification. The results show the effectiveness of the proposed analysis method and overvoltage suppression measures.

Study on Lifting Characteristics of Spherical Metal Particles and Air Gap Discharge Caused by Motion in DC GIL Han Cheng, Li Zhang, Tong Zhao, Liang Zou, Wei Wei School of Electrical Engineering, Shandong University Presenter: Han Cheng

Metal particle pollution problem limits the development of DC GIL. Metal particles are more active under DC voltage, which affects the insulation safety of equipment. In this paper, the metal particle motion observation platform is built. Under DC voltage, the influence of the shape, quantity and voltage polarity of the metal particles on the lifting of the particles in the spherical parallel plate electrode is studied. The experiments, the motion of metal particles and air gap discharge caused by particles, are taken to analyze S151 the influence of the particle material, shape and voltage polarity on the motion 14:30-14:50 characteristics and the air gap discharge breakdown. The particle lifting characteristics, the correlation characteristics of the particle motion and the air gap discharge breakdown are obtained. The typical particle motion behavior and air gap breakdown characteristics are analyzed in the microscopic point. The results show that the lifting voltage of spherical metal particles increases with the increase of particle density and radius, and the quantity has little effect on the lifting voltage of spherical metal particles. The polarity of the DC voltage does not affect the lifting voltage amplitude of metal particles. Spherical metal particles bounce back inelastically with the electrode, and the particle recovery coefficient is measured through experimental collisions. The air gap breakdown caused by metal particles can be divided into static particle breakdown and particle motion breakdown. The study has a guiding significance for taking measures to suppress the initiation of metal particles and revealing the mechanism of air gap discharge caused by particles.

Study on Exploiting Thermostatically Controlled Loads to Reduce Wind Power Curtailment Guangrui Wang，Zhengshuo Li S169 Shandong University 14:50-15:10 Presenter: Guangrui Wang

Thermostatically controlled loads (TCLs) are widely studied as a promising way to provide flexibility for power system operations with uncertain wind integration. In this

paper, a group of TCLs is aggregated as an aggregate battery to reduce the wind power curtailment. Considering the uncertainty of wind power, a rolling robust economic dispatch (ED) model based on two-stage optimization is adopted, where the first-stage dispatch optimizes the current schedule and the second-stage optimizes the schedule over a period of future. The simulation results demonstrate that aggregate TCLs provide system with additional flexibility to accommodate more wind energy. Moreover, incentivizing TCL owners to enlarge the temperature dead-bands and improving the prediction accuracy of wind power can further enhance the performance of TCLs in the system dispatch process.

An Index for the Early Warning of Nodal Outage Risk of Transmission System by Data Driven Method Hui Ren, Haoran Liu, Genwang Wang, Fei Wang Department of Electrical Engineering North China Electric Power University Presenter: Haoran Liu

Accurate prognosis technique is helpful in the operation of system with high share of intermittent renewable generations. Available research lack of outage risk early warning S172 index at transmission system level from a perspective of node. In this paper, starting 15:10-15:30 from the load node point of view and combining data-driven methods, a nodal connectivity based outage risk index is proposed. It evaluates the connectivity between load node and generators it could reach. The index decreases along with the increase of operating pressure. When it drops below a critical value, nodal load shed starts. Through our method, the non-linear reliability index based on nodal load-shedding is linearized to enable the operator to better understand the risk of outage at different locations of the system. The index is calculated through a data-driven method by using historical real time measurements at each node and system topology information, which makes it more suitable for online risk assessment and prediction. Simulation results by IEEE-118 bus test system show the feasibility of the proposed method.

Session D1: Electronics and Circuit System Session Chair: Haoran Zhao

Venue: No.5 Meeting Room at 5th Floor (5 楼五号厅) Duration: 13:30-15:30 (Dec. 5th, 2020)

Research on Modeling and Application of Magneto-Optical Measurement Technology Bo Wang, Shiming Liu, Yongsen Zhao Shandong University Presenter: Bo Wang

This paper analyzes the magneto-optical measurement technology based on the S20 Faraday magneto-optical effect. First, the principle of magneto-optical measurement 13:30-13:50 technology is introduced, and the functional relationship between the photoelectric conversion voltage V and the magnetic induction intensity B is derived.Then the model of the magneto-optical measurement technology is realized by using experimental data and nonlinear fitting algorithms. Finally, it lists the applications based on magneto-optical measurement technology, and focuses on the application in transmission lines. This paper proposes to use the phase of the photoelectric conversion voltage waveform to reflect the phase of the current in the transmission line to achieve phase differenctial protection. This method is applying for a patent.

Research on a New Type of “APF+DVR” UPQC Yue Zhao, Xuan Wang, Chongkai Cai, Yongjun Yu, Yongsheng Fu,Guangzhu Wang School of Electrical Engineering, Shandong University Presenter: Yue Zhao

Due to the coupling between serial and parallel sections of the traditional UPQC, it is relatively hard to control and also difficult to deal with the problem of large voltage sag. S84 This paper presents a new type of "APF + DVR" UPQC, which can overcome the 13:50-14:10 mentioned shortcomings of the traditional UPQC. The new UPQC topology consists of two independent parallel voltage source converters, which realize APF and DVR respectively. Switching logic for APF and DVR sections is proposed in this paper. For DVR control, a subsection control method based on DVR DC side voltage is proposed. And the calculation method of DVR DC side capacitor capacity is given. The results of simulation show that the new UPQC can realize the hardware decoupling and independent control of the series parallel side, with low static loss, fast response speed, and is not affected by voltage sag level, which can effectively solve the problem of large voltage sag.

Complementarity Evaluation Index System and Method of Multiple Power Sources Yi Zhao, Hao Su, Jiahao Wan, Donghan Feng, Xiaokan Gou, Bing Yu Shanghai Jiao Tong University Presenter: Yi Zhao

In order to specifically make the evaluation of the complementarity of multiple power sources, we classify them into renewable power sources and controllable power S69 sources. Six complementarity evaluation indexes are proposed based on the intrinsic 14:10-14:30 complementarity of renewable power sources and the regulation capability of controllable power sources. To improve the traditional Analytic Hierarchy Process (AHP), we combine the expert group decision-making and Monte Carlo's ideas. To improve the traditional Technique for order Preference by Similarity to an Ideal Solution (TOPSIS), we combine the idea of Euclidean distance and grey correlation from two perspectives of position and shape. Therefore, an evaluation method for the complementarity of multiple power sources is established from these two aspects. Finally, a concrete case is used to verify the validity and rationality of the established evaluation index system and method.

Zero-crossing Detection Algorithm Based on Narrowband Filtering Zunxian Wang Shandong University Presenter: Zunxian Wang

To deal with the simultaneous jump of phase, frequency and amplitude in the transient S88 process of signals and improve the accuracy of zero-crossing detection, this paper 14:30-14:50 proposes a fast zero-crossing detection algorithm for this complex condition. The algorithm initially normalizes the electrical quantity before it passes through the narrowband filter. Then the algorithm is used to calculate the zero-crossing time and eliminate the zero offset and jitter. Finally, the phase information of positive and negative zero crossing points is obtained. Simulation results show that the algorithm improves the tracking accuracy based on higher response speed and has strong robustness in a complex grid environment. It is simple to implement, which can meet the requirements of capacitors and other equipment switching control.

The Closing Strategy of Vacuum Circuit Breakers to Suppress Inrush Current of Parallel Capacitor Mingxu Wang, Shouyuan Wu, Yongxin Yang, Zunxian Wang, Xiaoming Luan S90 Shandong University 14:50-15:10 Presenter: Mingxu Wang

In a 35kV medium voltage system, closing the parallel capacitor will generate high inrush currents, which will shorten the service life of electrical equipment such as

capacitor banks and series reactors. This paper analyzes the transient process of switching capacitors theoretically and proposes a split-phase control strategy for vacuum circuit breakers. With the help of MATLAB/Simulink simulation software, by comparing and analyzing the closing inrush current and reactor transient overvoltage data of the proposed strategy and the traditional method of closing the capacitor bank, the selected closing strategy can limit the closing inrush current to 1.5p.u., the transient voltage of series reactor is limited to 2p.u. Further considering the dispersion characteristics of the switch, through comparative analysis, the selected closing strategy can still significantly reduce the inrush current and overvoltage during the capacitor switching process, and improve the switching safety of the reactive power compensation device.

Analysis and Visualization of Dual Relationship Between Electrical LC Oscillation and Ball Mechanical Oscillation Henghui Xie, Mengwei Li, Qixin Ding, Jiacheng Ruan, Hengxu Zhang Shandong University Presenter: Henghui Xie

The research on the dual relationship between electrical LC oscillation and ball S92 mechanical oscillation is of great significance to explore the similar dual phenomena in 15:10-15:30 nature, and can provide reference cases for the exploration of unknown physical relations. In this paper, the change process of current, voltage, electric energy and other physical quantities during LC and RLC oscillation circuit operation is analyzed, in the aspect of ball mechanical oscillation, two motion models of spring simple harmonic vibration and sliding down the bowl wall are proposed, and the physical quantities such as velocity, potential energy and kinetic energy in the motion process are analyzed, finally, according to the physical quantities of LC oscillation and mechanical oscillation, the process and results are solved The duality analysis shows that there is a certain dual relationship between the two groups of physical quantities.

Session A2: Distribution Network System and Operation Session Chair: Yongliang Liang

Venue: Foshan Hall on 2nd floor ( 2 楼佛山厅) Duration: 15:50-18:10 (Dec. 5th, 2020)

A Data-driven Slow Dynamic Characteristic Extraction and State Estimation Method for Large Power Grid Xinhui Cui, Kaigang Ma, Xinyuan Meng, Xiaohua Zhang, Fangwei Duan, Tie Li, Dai Cui Shandong University Presenter: Xinyuan Meng

The steady-state time-varying law of the grid state variables caused by load fluctuations is the slow dynamic char-acteristic of the grid, and the rapid extraction of its character- S14 istics is the basis for the rapid estimation of the large scale grid operation state and the 15:50-16:10 optimization of static stability preven-tion and control. To solve the computation speed problem of large power grid system state calculation by load prediction multiplied by jacobian inverse matrix, a data-driven slow dy-namic characteristic extraction and state estimation method are proposed in this paper. Based on the various characteristics of the PV curve determined by bifurcation theory and con-tinuous power flow, a series of time-varying second-order polynomials of bus voltage is used to represent the slow dynamic char-acteristics. The estimated operation state can be quickly calculated by short-term historical operating data according to this characteristic. The accuracy and rapidity of the proposed method are demonstrated on several test systems.

Research on High-Speed Self-Healing Technology of Active Distribution Network Based on Eddy Current Repulsive Switch Cong Li, Qin Lijun North China Electric Power University Presenter: Cong Li

The traditional ladder-type time-limited current protection for feeders generally has the problems of slow fault isolation speed, low accuracy and poor reliability. Depending on the protection of the communication channel, the fault can be isolated and recovered S22 accurately, but its reliability and rapidity are limited by the communication channel, and 16:10-16:30 the construction and maintenance cost of the channel is high. Channel-free protection, which does not depend on communication channel, has better protection characteristics, but it is difficult to give full play to its advantages when symmetry fault occurs. Especially with the access of wind power, photovoltaic and energy storage, the distribution network structure has become increasingly complex, which has changed from single power supply network to multipower supply network, making the existing protection schemes more difficult to meet the actual needs. In view of this situation, this paper proposes a new high-speed selfhealing automatic protection scheme for distribution network. This protection scheme does not need communication channel and channel equipment to transmit fault information to each protection unit, and has the characteristics of high reliability, accurate fault isolation and fast fault isolation.

Robust Integrated Optimization of Active Distribution Network Based on System Risk Index Yumin Zhang, Haishu Gao, Xingquan Ji, Qi Liu, Yixiao Yu Shandong University of Science and Technology Presenter: Haishu Gao

This paper presents a comprehensive distribution robust optimization model based on the distribution network risk index to address the distributional uncertainties of S64 distributed generations (DGs) and loads. To analyze the security of active distribution 16:30-16:50 network (ADN) systematically, a risk assessment method based on improved semi- invariant method and clustering technique is proposed. The risk assessment method is performed on the integrated dynamic reconfiguration and reactive power optimization model. Considering the time-dependent constraints on energy storage systems (ESS) and gas turbine are intractable problem for model solution, a two-stage box-based decomposition model is formulated. In which, the first stage constrains the operation region of units and ESSs, the second stage problem is to transform them into a single- time scale optimization problem that can be solved efficiently using the column and constraint generation (C&CG) algorithm. Case studies on the PG&E 69-bus system verify the robustness and feasibility of the proposed model.

Frequency-domain Reactance Based Protection for Multi-terminal DC Distribution Grid Xiuyan Wei, Guibin Zou, Shuo Zhang School of Electrical Engineering, Shandong University Presenter: Xiuyan Wei

This paper proposes a frequency-domain reactance (FDR) based protection scheme for S110 multi-terminal DC distribution grid. First, the characteristic difference of FDR is analyzed 16:50-17:10 when single pole grounding fault (SPGF) and pole to pole fault (PPF) occur respectively. Then, S-transform is used to calculate the FDR. The internal and external faults are judged by the FDR value, and the fault type is identified by the FDR ratio between the positive to negative pole. Finally, a modular multilevel converter (MMC)-based multi- terminal DC distribution grid is constructed by PSCAD/EMTDC, with extensive simulations validating the effectiveness of the proposed scheme. Simulation results show that the proposed protection method can detect the fault section rapidly and accurately.

A Modified Newton-Raphson Method for Hybrid AC/DC Microgrids Power Flow Analysis Yitong Liu, Zhengshuo Li Shandong University Presenter: Yitong Liu

A hybrid ac/dc microgrid combines advantages of both subgrids. This paper proposes a sequence component based power flow algorithm for a hybrid ac/dc microgrid. In the modeling section, sequence component models of the system components are S171 established considering their unbalanced features. Droop control is applied to 17:10-17:30 distributed generation units to maintain frequency and voltage of an islanded microgrid. In the algorithm section, our proposed approach decomposes the power flow problem into two subproblems which are easy to solve sequentially. First, ac subgrid power flow is solved through a modified Newton-Raphson method. Next, dc subgrid power flow is calculated considering the interlinking converter. The process repeats until the mismatches are smaller than the thresholds of accuracy. Lastly, the result is transformed back to phase coordinates for the final power flow result. The accuracy of the proposed approach is validated by comparing its results with MATLAB/Simulink, and advantage is confirmed compared with a practical equivalencing approach. Finally, the influence of system loading is studied.

A Novel Current Differential Protection Scheme for Active Distribution Networks Xuelin Guo, Liyan Wang, Liangzhi Sun, Rui Han, Xiangming Sun, Lindong Zang, Chenghan Zhou, Guibin Zou Liaocheng Power Supply Company, Shandong University Presenter: Lindong Zang

Conventional distribution network is supplied from a single source. In such a network, S223 both load current and short-circuit current flow in one direction. With the access of 17:30-17:50 distributed generations (DGs), the fault characteristics of conventional distribution network are changed, further, traditional current protection principle faces with serious challenge. So, this paper presents a novel current differential protection scheme for active distribution networks (ADN). The protection scheme only utilizes the d-axis component of the current at both ends of the feeder, and internal fault can be distinguished from external fault by comparing differential current with restraining current. Meanwhile, the coefficient is introduced to ensure its reliability. This scheme can reflect all fault types and locate the faulty section within 10ms after the fault. Simulation results based on PSCAD show the validity of the proposed scheme.

Two-Stage Distributionally Robust Volatge Regulation of Active Distribution Network with Hybrid Energy Storage Wantong Zhao, Zhaojing Cao, Can Wan, Yuqi Xu, Changfei Zhao College of Electrical Engineering, Zhejiang University Presenter: Wantong Zhao, Zhaojing Cao

Due to inherent volatility and intermittence, increasing penetration of distributed S1004 renewable energies (DREs) brings significant voltage deviation problem in active 17:50-18:10 distribution network (ADN). In order to tackle this problem effectively, a novel two-stage distributionally robust optimization strategy for hybrid energy storage systems (TSDRO- HESS) is proposed to mitigate voltage deviation in ADN. The prediction errors of DREs with different time-scales are considered in constructing Wasserstein ambiguity sets. In the first stage, distributed battery energy storage systems (BESS) are scheduled day- ahead in distributionally robust optimization with chance constraints. In the second stage, model predictive control (MPC) is utilized to roll optimize the intraday charging/discharging strategy of the supercapacitor energy storage systems (SCESS). The simulation results show the effectiveness of the proposed TSDRO-HESS strategy.

Session B2: New Battery and Energy Storage Technology Session Chair: Zhijie Liu

Venue: No.1 Meeting Room at 5th Floor (5 楼一号厅)

Duration: 15:50-18:10 (Dec. 5th, 2020)

Battery Energy Storage System (BESS) Sizing Analysis of Bess-Assisted Fast-Charge Station Based on Double-Layer Optimization Method Qiang Gui Shanghai Jiao Tong University Presenter: Qiang Gui

Recent years, the increasingly decrease of battery energy storage system (BESS) costs makes BESS-assisted fast-charge station economically feasible. Meanwhile, the implementation of BESS could help distribution network alleviate the strike from massive charging load. To ensure BESS-assisted fast-charging station attaining optimum S94 economic benefit, BESS has to be optimally sized. In this paper, a double-layer 15:50-16:10 optimization method is proposed to figure out the BESS sizing optimization, and genetic algorithm (GA) with elitist strategy was used for the optimal solution. In the external layer, GA is utilized to seek optimal BESS sizing and its durable years to pass these parameters to the internal layer. In the internal layer, a mixed integer linear programming (MILP) BESS lifetime model, which is based on BESS state of health (SOH) estimation and capacity fading, is established and adapted to optimize fast-charging station operation for typical days, and lower level will return the optimal result back to upper level. The proposed model is validated through a specific charge station in Shanghai. The simulation results validate that: 1) the proposed model is able to determine the optimal BESS size and durable year, 2) the practicality of the BESS lifetime and residual capacity estimation is enhanced, 3) fast-charge station operation strategy of typical days can be used as reference for charge station operators.

Analysis of Profitability Difference of Energy Storage System in Different Links in Whole Life Cycle Haoran Liu, Yantao Wang, Hanmin Liu, Yunfeng Tian. Northeast Electric Power University Presenter: Haoran Liu

With the development of the electric vehicle industry, a large number of decommissioned S100 power batteries of electric vehicles bring great pressure to society every year. As efficient 16:10-16:30 recycling mechanisms are still under construction, the main response is to echelon the use of decommissioned batteries and to centralize them for use in battery energy storage system (BESS). Based on the Levelized Cost of Energy (LCOE) and productivity theory, this paper proposes the Levelized Profit of Energy, which is used to compare productivity per kW·h for differentiated energy storage projects. Through the analysis and comparison of different factors, it is proved that echelon utilization is not equal to prolonging capacity life, and it has a unique value in the whole life cycle. It shows that the echelon utilization link is effective for the whole life cycle.

Deep Peak Shaving Model of Fire-Storage Combination Under High Permeability Wind Power Conditions Mengqi Li, Yantao Wang, Hanmin Liu, Yunfeng Tian Northeast Electric Power University S121 Presenter: Mengqi Li 16:30-16:50 In order to promote the establishment of Jilin Province about clean energy and solve the problem of new energy consumption of wind power, the requirement of deep peak regulation of thermal power units is urgent. In the case of high permeability wind power grid connected, the economic analysis of the joint operation of thermal power plant and

thermal power plant with additional energy storage equipment. A double layer model is set up. The upper model is the energy storage model and the lower level model is the optimization model of thermal power units participating in peak load regulation auxiliary service market. The upper and lower levels interact with each other. Firstly, the difference between the predicted output and the actual output of wind power is suppressed by using the flexible peak shaving capacity of energy storage, and then the net load curve is transferred to the lower model. The lower model obtains the initial unit combination scheme according to the net load curve. But the thermal power units are in deep peak load regulation, so the unit combination scheme is not ideal. The output of deep peak load regulation is fed back to the upper model. According to the remaining energy storage capacity, the upper model can assist the thermal power peak shaving and avoid the cost of oil input, and get a new load curve to continue to transmit to the lower level. The lower model obtains the final unit combination scheme according to the latest net load curve. The six-machine system is simulated and analyzed in three different scenarios of deep peak shaving. The final conclusion shows that energy storage plays an important role in improving wind curtailment and increasing the profit of thermal power in peak load regulation auxiliary service market.

Grid-side Energy Storage System Day-Ahead Bidding Strategy Based on Two-Level Decision in Spot Market Jincheng Shang, Hongkun Bai, Meng Yang, Tianliang Wang, Qian Li and Xin Jiang Zhengzhou University Presenter: Qian Li

A multi-markets biding strategy decision model with grid-side battery energy storage system (BESS) as an independent market operator is proposed in this paper. First, the trading methods of BESS participating in the spot market are analyzed. on this basis, a S182 two-layer transaction decision model is built with comprehensively considering the 16:50-17:10 participation of BESS in the day-ahead market (including the electric energy market and the auxiliary service market) and the intra-day balance market. The upper layer aims to maximize the revenue of BESS participation in spot market transactions under the premise of meeting the operation constraints of BESS, which generates the time-sharing strategy and transmits it to the lower layer. The lower layer conducts joint day-ahead market clearing with the goal of maximizing the whole social benefits, and carry on the intra-day balance market clearing with the goal of minimizing system balance costs. The clearing results are fed back to the upper model. based on particle swarm optimization and CPLEX, the solution method for the two-layer model is designed. Finally, a wind-fire- storage test system is used for simulation analysis, and the results verify the feasibility and effectiveness of the proposed model and method.

An MMC based Hybrid Energy Storage System: Concept, Topology, and Control Wanqi Cai, Pengfei Hu, Daozhuo Jiang and Yiqiao Liang College of Electrical Engineering, Zhejiang University Presenter: Wanqi Cai

With the renewable energy broadly integrated into power grid, Energy Storage System S184 (ESS) has become more and more indispensable. In this paper, a novel Hybrid Energy 17:10-17:30 Storage System (HESS) based on Modular Multilevel Converter (MMC) is proposed, which integrates both Super Capacitor (SC) and battery. Different from other topologies, batteries and SCs are allocated respectively at the sub-module (SM) and the DC sides. The proposed HESS can be connected directly to the medium voltage AC bus without any transformer. Moreover, both high energy density and high power density are achieved in the single system, with flexible coordinated power regulating capability. Power control strategy and State of charge (SOC) balancing strategy for battery are also proposed for HESS, which are verified by PSCAD simulations in the results.

Battery Impedance Measurement Using Pseudo Random Binary Sequences Li Yan, Chris Bingham, Samuel Cruz-Manzo, Delong Cui, Yungrong Lv Guangdong University of Petrochemical Technology Presenter: Li Yan

Battery impedance is one of the most important parameters to reflect performance and health for electric vehicles and other applications, and is affected by many factors, such S211 as temperature, battery type and aging. Based on the characteristics of pseudo random 17:30-17:50 binary signals, this research presents the design, implementation and verification of methods to determine the battery impedance by using PRBSs under various conditions of temperature and age. The impact of injected current amplitude is also investigated. Results from simulation studies and measurements on a custom experimental test facility show the potential for using pseudo random binary sequences for real-time nonlinear battery system identification and show that it can provide an attractive alternative to more traditional online measurement techniques which can incur protracted measurement intervals.

An Optimal Configuration Method for Energy Storage Systems in Distribution Networks Considering Battery Life Yingjie Shao, Ran Ding, Zhaozhao Tian School of Control Science and Engineering, Shandong University Presenter: Yingjie Shao

Energy storage systems play important roles in the economic and stable operation of distribution networks, while the high installation cost always restricts the wide application. S227 Considering the life loss caused by frequent charging and discharging, this paper 17:50-18:10 proposes an integrated optimal configuration method for energy storage systems in distribution networks. An energy storage optimal configuration model is established with the goal of minimizing the total cost of the system, which adds constraints on the charge- discharge behavior to prolong the energy storage life. The second-order cone relaxation and the epsilon-relaxation are used to deal with the model nonlinearity, and the model is transformed into a three-layer linear model according to the differences in time scales and variable types. Then a nested Benders decomposition algorithm is proposed to solve the model. An example is given to verify the feasibility and the effectiveness of the method.

Session C2: Advanced Electronic Technology and Engineering Session Chair: Haoran Zhao

Venue: No.4 Meeting Room at 5th Floor (5 楼四号厅)

Duration: 15:50-18:10 (Dec. 5th, 2020)

Synergistic Risk-based Robust Scheduling for Hybrid AC-DC Systems via Analytical Target Cascading Zhe Chen, Luyu Wang, Chuangixn Guo, Hangyin Mao Zhejiang University Presenter: Zhe Chen

S11 This paper proposes a synergistic risk-based robust scheduling (SRRS) model to 15:50-16:10 coordinate the generation resources of hybrid AC-DC systems and handle the renewable uncertainties. To obtain an accurate and reliable dispatch schedule, a linearized power flow model is utilized to consider the reactive power and voltage restrictions. Besides, different from traditional robust optimization, boundaries of uncertainty set are decision variables in this model. The operational risk is considered correspondingly and a reasonable admissible region of wind power is obtained. Based on the hierarchical structure of hybrid AC-DC systems, the analytical target cascading (ATC) algorithm is

utilized to solve the SRRS model in a distributed way. An acceptable near-optimal solution can be obtained via finite solutions. During the solution process, only limited information needs to be shared. Thus, the communication burden is light and local information is encrypted. Simulations on a 2-area 12-bus system illustrate the effectiveness of the proposed model and approach.

Real-Time Active Power Dispatch for Virtual Power Plant via a Multi-Agent Leader- Follower Game Approach Zilong Zhang, Weizhen Yong, Fan Yang, Jingdong Wei and Minghui Zhu Xi'an Jiaotong University Presenter: Zilong Zhang

Due to the volatility of renewable energy and randomness of electricity load in virtual power plant (VPP), VPP will inevitably deviate from the pre-planned reference points in S51 real-time operation process. Thus, real-time active power dispatch is essential to re- 16:10-16:30 determine the power output of VPP’ components. Indeed, distributed resources of VPP often belong to different individuals. Coordinating various components of different individuals to participate in VPP real-time scheduling can realize incentive compatibility between VPP and individuals. To this end, this paper proposes real-time active power dispatch for VPP via a multi-agent leader-follower game approach to achieve the purpose of real-time power balance and economic operation of VPP. In the multi-agent leader- follower game, fuzzy control technology is used to generate bidding strategies for various individuals. Simulation results demonstrate the economy and effectiveness of the proposed real-time active power dispatching model for VPP.

A Modified Interleaved Active-Clamp Flyback Converter for Improving Power Efficiency and Power Density Dazhuang Ma, Jiahui Jiang Qingdao University Presenter: Dazhuang Ma

This paper proposes an interleaved active clamp flyback (IACF) converter modified for higher power efficiency and power density. On the basis of the traditional IACF, by S93 swaping the active clamp branch and transformer branch of a phase ACF, the equivalent 16:30-16:50 input voltage of the ACF is increased. Therefore, Under the same conditions, the voltage gain of the converter can be improved. The transformer turns ratio can be designed to be larger to use an appropriate duty cycle. Moreover, the transformer can have a smaller number of turns when the output voltage is determined value. Therefore, the primary conduction loss can be reduced. The proposed converter adopts a non-complementary control strategy. The power density of the converter can be further increased. Finally, the efficiency and the primary conduction loss of the proposed converter was verified by simulation results.

Application of Python parallel computing in online identification of Thevenin equivalent Parameters Xinyuan Meng, Tao Wen, Kaigang Ma, Shandong University, Jinan, China Presenter: Tao Wen, Xinyuan Meng S132 The premise of analysing static voltage stability of large power grids online is identifying 16:50-17:10 Thevenin equivalent parameters rapidly and accurately. And based on the current reaearch in this field, this paper analyses its formation mechanism and the feasibility of parallel programming in Python. The simulation test and analysis are carried out on the actual system. The results demonstrate that parallel programs can reduce the calculating time of Thevenin equivalent parameters significantly, make full use of computer performance and improve CPU utilization futher.

Multi-area Joint Scheduling Model in Consideration of Flexible Loads Zhi Cai China Electric Power Research Institute Presenter: Zhi Cai

With the rapid development of the ultra-high voltage AC/DC channel, power grid of China shows obvious characteristics of power balance integration in the whole grid. Therefore, it is necessary to optimize the generation-transmission-utilization plan of the whole grid at large. To this end, for the uncertainty in practical response of the flexible loads, a multi- S179 area joint scheduling in consideration of flexible loads is proposed. In the method, 17:10-17:30 according to the load response characteristics, flexible loads are divided into transferable loads, shiftable loads and reducible loads, it is defined that the transferable loads guide response through time-of-use power price to reduce the peak valley difference of the load. Shiftable loads and reducible loads participate in the scheduling to optimize and improve the consumption of regional new energy. In the end, based on the power characteristics of AC/DC tie lines, a joint scheduling model with complementary sources in multi-area is established to reduce the overall operation cost of power grid and improve the clean energy accommodation. The model is applied to a practical example, and the analysis results of the example verify the feasibility of the proposed method.

Load Modeling and Harmonic Analysis of Intermediate Frequency Furnace Based on Measured Waveform Shengchuan Zhao, Zhiyong Su,Qiang Wu, Fusheng Guo, Hao Bai, Weihan Zhou, Yongqing Wang, Yadong Liu, Weichao Li Yantai Power Supply Company State Grid S222 Presenter: Weichao Li

17:30-17:50 Due to the continuous advancement of power electronic technology, the intermediate frequency furnace generated harmonics has a great impact on the power quality of the power grid. This paper analyzes the working principle of the intermediate frequency furnace with different pulse rectifiers, analyzes the mechanism of harmonic generation in the intermediate frequency furnace, establishes a load model and verifies the rationality of the established model by comparing the measured waveforms.

Axially Segmented PMASynRM with Hybrid Rotors Yingqian Lin, Yi Sun, Yunchong Wang, Shun Cai, Jian-Xin Shen Department of Electrical Engineering, Zhejiang University, Hangzhou, China Presenter: Yingqian Lin

This paper investigates an axially segmented PMASynRM with hybrid rotor, which S224 consists of synchronous reluctance rotor and surface-mounted rotor. Through extracting 17:50-18:10 the permanent magnet from the multi-layered flux barriers and forming a single SPM rotor, the axially segmented SynRM well addresses the manufacturing problem existing in the traditional PMASynRM. Meanwhile, by optimizing the critical parameters in the hybrid rotor, the axially segmented PMASynRM can have a higher power density while keep the power factor constant compared with the traditional PMASynRM. Finally, the electromagnetic performance of the optimized axially segmented PMASynRM is compared with traditional PMASynRM, and it is proved the axially segmented PMASynRM has higher power density and power factor.

Session D2: Energy Engineering Session Chair: Xiaoyi Liu

Venue: No.5 Meeting Room at 5th Floor (5 楼五号厅)

Duration: 15:50-18:10 (Dec. 5th, 2020)

The Resilience Assessment Method of Electric-gas System under Earthquake Disaster Yi Zheng, Jing Wu, Jiahong Fu, Yiwen Shen, Han Wang, Hang Li, Kai Hou Tianjin University Presenter: Han Wang

Earthquake disasters can cause damage to various types of infrastructure of the electric- S49 gas system, and in severe cases, power outages and gas outages. Taking into account 15:50-16:10 the uneven distribution of earthquakes in space, this paper constructs an earthquake disaster model based on the three-level latent focal region division scheme and an electric-gas system component failure rate model based on earthquake intensity distribution. Then, a planning-oriented resilience assessment framework of electric-gas system under earthquake disaster is proposed. Finally, this paper uses the electric-gas system composed of the IEEE RTS79 grid and the modified 14-node gas grid to verify the proposed resilience assessment framework.

A Statistical Upscaling Approach of Region Wind Power Forecasting Based on Combination model Tingting Ding, Peng Li, Guilin Huang, Yixiao Yu, Zhiyuan Si, Fangqing Yan, Xiaoyi Liu and Menglin Li Shandong University Presenter: Tingting Ding

Regional wind power forecasting is of great significance to ensure the wind power absorption and power grid safety economy. This paper proposes a Regional wind power S71 statistical upscaling forecasting method based on the combination Model to improve the 16:10-16:30 forecasting accuracy of the region wind power. the K-means clustering algorithm is used to divide the region, the forecasting accuracy of the wind farms, and the correlation coefficient between wind farms and sub-regions are used to select the reference wind farms in each sub-region. the BP neural network quantile regression Model is used to forecast the wind power of the reference wind farm. based on the prediction results of reference wind farms, the combined Model formed by the beta distribution estimation, kernel density estimation, and sparse Bayesian learning is used to forecast the wind power of the sub-region. the region power forecasting results can be obtained by adding the forecasting results of the sub-regions. Case studies verify the effectiveness of the method proposed in This paper.

Dynamic Thermal Line Rating Estimation Using Live Regional Weather Data Xiaowei Fan, Rongfu Sun, Jingran Wang Dispatch Center State Grid Jibei Electric Power Company Beijing, China Presenter: Xiaowei Fan

The ampacity (thermal rating) of an overhead conductor depends on the meteorological conditions around the conductor and is time-varying. The estimation of the dynamic S140 thermal line ratings (DTLRs) of regional overhead conductors is of great significance for making efficient use of the transfer capability of regional power grids thus benefiting the 16:30-16:50 security and economic performance of power systems. By using the historical hourly live regional weather data and the historical minutely micrometeorological data of the overhead conductor, the correlation and deviation distribution between these two datasets in air temperature and solar radiation are analyzed, then a DTLR estimation method using the live regional meteorological data is presented. The method can estimate the probability distribution of the thermal rating under the conservative assumption on wind conditions, thus providing information for operators to safely exploit the transfer capability of regional overhead lines. The case studies testify the validity of

the proposed method, and the test results show that the method can significantly improve the thermal rating of the regional overhead conductor compared with the conventional static thermal rating.

Reserve Optimization Considering Reserve Deployment Process Zhixin Wang，Mingqiang Wang，Zhen Fang，Jianying Li，Jianjie Li Shandong University Presenter: Zhixin Wang

S185 In this paper, we propose a reserve optimization model considering the reserve 16:50-17:10 deployment process. The reserve is determined by an endogenous cost/benefit analysis between the scheduling cost and expected interruption cost which is computed by multiplying value of lost load (VOLL) with expected energy not supplied (EENS). The reserve availability of a unit, which depends on its actual ramp rate schedule is considered when computing the EENS. Moreover, an approximate method is proposed to reduce the computation burden and ensure the system security. The efficiency and validity of the proposed method are verified using the IEEE-RTS system.

A Hybrid photovoltaic power prediction model based on multi-source data fusion and deep learning Zhiyuan Si, Ming Yang, Yixiao Yu, Tingting Ding and Menglin Li School of Electrical Engineering, Shandong University Presenter: Zhiyuan Si

With the rapid development of world economy, environmental and energy problems become increasingly prominent. The fact motivates the exploitation of renewable energy, such as solar power. Solar photovoltaic (PV) power has been integrated into modern S197 smart grids on a large scale. Accurate photovoltaic prediction is the key to ensure the 17:10-17:30 stable operation of power grid. The single prediction model is difficult to be universal due to the limitations of the model. Therefore, this paper proposes a hybrid ultra-short-term photovoltaic power prediction model based on multi-source data fusion and deep learning. First, the satellite cloud images, historical power sequences and numerical weather prediction (NWP) data are fused. Then, the photovoltaic power prediction models are established by using appropriate deep learning methods (convolutional neural networks (CNN), long-short term memory (LSTM) networks, and EXtreme Gradient Boosting (XGBoost)) according to different data. Finally, the three models are combined to get the final prediction result. The results show that the proposed method in this paper has better forecasting performance than other single model.

Wind Power Probabilistic Forecasting Based on Wind Correction Using Weather Research and Forecasting Model Menglin Li, Ming Yang, Yixiao Yu, Peng Li, Zhiyuan Si, Jiajun Yang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Presenter: Menglin Li

This paper proposes a wind power probabilistic forecasting (WPPF) method by correcting the wind forecasting (WF) obtained from the weather research and forecasting (WRF) S203 simulation. Short term wind power forecasting highly depends on the numerical weather 17:30-17:50 prediction (NWP), wind forecasting especially, which contributes the most error of the predicted wind power. This method is based on the WRF, it first analyzes the performance on wind forecasting and the relationship between the predicted wind and the observed one. Second, the Hidden Markov Model (HMM) ameliorated by the Gaussian mixture model (GMM) is introduced to extract the association of the predicted wind and forecasting error and the inner temporal ship of error itself, and makes correction on the raw wind forecasting. Finally, the spare Bayesian learning (SBL) is used to generate the wind power probabilistic prediction. Case study demonstrates the proposed method significantly enhances wind forecasting accuracy and lead to a better WPPF.

Technical Sessions on Dec. 6th

Session A3: Power Electronics and Motor Drives Session Chair: Jinyu Wang

Venue: Foshan Hall on 2nd floor ( 2 楼佛山厅)

Duration: 09:00-10:00 (Dec. 6th, 2020)

Modeling of the Transformer Coupled Self-Oscillator for Piezo Power Driver Teng Xudong and Qi Mingyan Shanghai University of Engineering Science Presenter: Qi Mingyan

S8 The accurate operating frequency of Piezo transducers depends highly on a matching 09:00-09:20 resonant network in general for the transformer coupled self-oscillator. However, it is found that the magnetizing inductance of transformer, forwarding nonlinear gain and even power source probably have important effects on the prediction of the oscillating frequency. Thus, this paper introduces the descriptive function to model the transformer coupled self-oscillating driver for Piezo transducer, and analyze the operating frequency and its change. The reasonability and feasibility of the presented analysis procedure are verified by simulation and experiments based on a Piezo power driver prototype.

Research on the Harmonic Transfer Characteristics of Electromagnetic Transformer Yongxin Yang, Shouyuan Wu, Zunxian Wang, Mingxu Wang, Jianwei Yao, Xiaoming Luan Shandong University Presenter: Yongxin Yang

S82 As the connecting element of the primary system and the secondary system, the 09:20-09:40 harmonic transfer characteristics of electromagnetic transformers directly affect protective relays in the power system. This paper establishes a new broadband harmonic equivalent model of the electromagnetic transformer and uses its transfer function to analyze the harmonic transfer characteristics of the transformer under different structural parameters. The built model was simulated and verified in MATLAB, and the conclusions obtained provide a reference for the application of electromagnetic transformers under harmonic conditions.

HVDC Start-up Strategy of AC/DC Hybrid System Yuechen Shan, Jiangyang Yun, Shibo Zhai, Xiang Zhang, Wenning Wang, Jingrui Liu Shandong University Presenter: Yuechen Shan

Aiming at the typical operation mode of the asynchronous power grid, which is an AC-DC hybrid system, the new problems caused by its unique operating characteristics and the S106 power grid structure in the event of a major power outage have been studied. Based on 09:40-10:00 the recovery theory of traditional AC system, this paper studies the recovery control problem of asynchronous power grid under the condition of power failure at both the transmission and receiving end grids, and establishes a recovery control model that can fully consider the coordinated recovery characteristics of HVDC system startup. Taking the improved IEEE39 node system as a case, the interaction between the start-up of the HVDC system and the AC system of the sending and receiving end is studied, and the recovery control strategy is established. Finally, the improved NSGA-2 algorithm is used to optimize and solve the simulation case, which verifies the strategy of this paper.

Session B3: Power Systems Session Chair: Yumin Zhang

Venue: No.1 Meeting Room at 5th Floor (5 楼一号厅)

Duration: 09:00-10:00 (Dec. 6th, 2020)

Optimal Dispatch of Receiving-side Power Systems Considering Peak Regulation of External Power Xunhu Yin, Qiulong Ni, Chao Guo, Xiang Li, Yijing Su, Xiang Zheng, Hengyu Hui Zhejiang University Presenter: Xunhu Yin

The ultra-high-voltage (UHV) external power meets the rapidly increasing load demand of the receiving-side power system. However, the peak regulation requirement of the receiving- S52 side power system is not considered when transmitting the external power, which intensifies 09:00-09:20 the peak regulation burden of the system. In order to enable the external power to implement peak regulation, the optimal dispatching model of the receiving-side power system considering peak regulation of external power is established. Firstly, the influence of external power on peak regulation ablility of receiving-side power systems is introduced. Then the conventional peak regulation units and the external power are modeled respectively considering their different characteristics. On this basis, the optimal dispatching model of the receiving-side power system is established to comprehensively optimize the output of the conventional peak regulation units and the external power. The effectiveness and availability of the proposed models is validated using the modified IEEE 30-bus test system.

Research on Compensation Strategies for DFACTS with Insufficient Capacity Xiong Xu, Chongkai Cai, Yongjun Yu, Zhujian Ou, Guangzhu Wang School of Electric Engineering, Shandong University Presenter: Xiong Xu

DFACTS device is used in the distribution network to compensate for reactive power, harmonics and negative sequence currents. If simple current limiting measures are adopted in the condition of DFACTS with insufficient capacity, the compensation current waveform S33 will be distorted, which will have adverse effects on the system. In order to solve this problem, this paper proposes three kinds of compensation strategies: reactive power priority, 09:20-09:40 harmonic priority and adaptive comprehensive compensation strategies. The reactive power priority or harmonic priority compensation strategy uses the limited capacity of DFACTS to compensate reactive power or harmonics, the residual capacity of DFACTS compensates the specified harmonics or reactive power. The adaptive comprehensive compensation strategy is to set firstly the compensation weight coefficients of reactive power, harmonics and negative sequence current, and to consider comprehensively the deviation of the compensation quantity, finely to allocate adaptively the three kinds of compensation quantity. Simulation results verify the feasibility and effectiveness of the proposed compensation strategies and control algorithms.

A Method of Fault Diagnosis for Secondary Loop in Intelligent Substation Based on Bayesian Algorithm Peng Zong, Zhanjun Gao, Tao Yang, Fengyuan Zhou Shandong University Presenter: Peng Zong S98 In order to improve the accuracy and maintenance efficiency of fault diagnosis for secondary 09:40-10:00 loop in intelligent substation, this paper proposes a fault diagnosis method based on improved Bayesian algorithm. Firstly, the physical loop and virtual loop models of the secondary loop are established according to the SCD file, and their mapping relationship is established. Secondly, the set of suspicious fault components in the secondary loop is obtained according to the abnormal degree table of physical components. Then, the improved Bayesian algorithm is used to evaluate the components in the set of suspicious

28 fault components. Finally, the output of the Bayesian algorithm is the Bayesian anomaly degree of the suspicious fault components. The component with the highest Bayesian anomaly degree is considered as the fault component. In order to detect the effectiveness and the feasibility of the proposed method, this paper conducts a fault diagnosis case and the diagnosis results demonstrate that the proposed diagnosis method can obtain good discriminant result.

Session C3: Renewable Energy Integration Session Chair: Mengxia Wang Venue: No.4 Meeting Room at 5th Floor (5 楼四号厅)

Duration: 09:00-10:00 (Dec. 6th, 2020) Urban Renewable Energy Consumption Capacity Quantitative and Improving Approach WenBo Xuan, Hui Li, ZhongYi Liu, YeGuang Sun, Kai Hou Tianjin Electric Power Company Sate Grid, Tianjin University Presenter: Kai Hou Aiming at the consumption problem caused by the integration of large-scale renewable energy power generation into the power system, a quantitative method for the consumption capacity of urban renewable energy and measures to improve the consumption capacity S29 based on virtual power plants are proposed. First, the issue of renewable energy 09:00-09:20 consumption and the basic concepts of virtual power plants are introduced. Secondly, for wind power and photovoltaic power generation, quantitative analysis of its absorption capacity is proposed from the perspective of peak shaving margins. And the quantitative analysis method has two aspects: the time of abandonment and the amount of abandonment. Finally, it is proposed to loosen the restriction on energy abandonment and increase the total revenue of renewable energy based on economic constraints, thereby effectively increasing the consumption of renewable energy. A case study is carried out on a certain city, and the results show the effectiveness of the method.

Optimal Dispatch of Virtual Power Plant with Distributed Renewable Energy Resources and Building Water Supply Systems Yongqing Wang, Weizhen Yong, Minghui Zhu, Jingdong Wei, Zhuang Li and Zilong Zhang State Grid Shaanxi Electric Power Research Institute, Xi’an Jiaotong University Presenter: Weizhen Yong With the rapid development of distributed renewable energy generation, the requirement of flexibility is also increasing. The traditional solution to increase flexibility is to configure S50 energy storage. However, this method has some problems, such as high investment cost 09:20-09:40 and large-area occupation. Therefore, it is a better method to fully exploit the flexibility of existing resources. This paper proposes an optimal dispatch method of the virtual power plant that aggregates distributed renewable energy resources and building water supply systems. It aims to explore the flexibility of building water supply systems. The proposed model is a mixed-integer non-linear programming model. Thus, a piecewise linearization method is applied to convert the proposed model to a mixed-integer linear programming model to make the model tractable. Simulation results show that the proposed method can not only increase operation economics of the virtual power plant but also enhance demand- side flexibility.

Optimal Operation for Integrated Energy System on User Side Considering Demand Response S56 Hengyu Hui, Lijun Zhang, Xiao Shi, Kang Xie, Xing Zhou, Xizhu Zhang, Xunhu Yin 09:40-10:00 College of Electrical Engineering, Zhejiang University Presenter: Hengyu Hui To accommodate distributed renewable energy and improve energy efficiency, it is

necessary to develop the integrated energy system (IES). However, high construction costs and complex operation optimization are crucial obstacles to the development of IES on user side. The optimal operation of IES can excavate more flexibility for power system and reduce its operating costs through providing demand response (DR) services in the power market. Therefore, this paper proposes the operating models for equipment in IES considering DR and the optimization method to schedule the operation and DR capacity simultaneously in the power market. Then, the proposed nonconvex model is mathematically transformed into a solvable mixed integer linear programming (MILP) problem. Experimental results tested on a realistic IES indicate the effectiveness of the proposed model.

Session D3: Smart Grid and Communication Technology Session Chair: Kangping Li

Venue: No.5 Meeting Room at 5th Floor (5 楼五号厅)

Duration: 09:00-10:00 (Dec. 6th, 2020)

Comparison of Harmonic Models of Nonlinear Home Appliances Based on Measured Data Xiangmin Xie, Daolian Chen College of Electrical Engineering, Qingdao University Presenter: Xiangmin Xie

As a large number of nonlinear home appliances are widely distributed in the residential low S74 voltage (RLV) distribution system, which makes the harmonic content in the RLV distribution 09:00-09:20 network higher than ever before. Therefore, it is urgent to study the harmonic characteristics of these nonlinear home appliances. Firstly, three traditional harmonic models (i.e. constant current source model, harmonic coupled admittance matrix (HCAM) model, and harmonic Norton model) and the dominant HCAM based on measured data are compared in this paper. Then a small experimental platform is established to measure the voltage and current data of nonlinear home appliances. Furthermore, four various harmonic models are verified by experimental data. Finally, combined the modeling accuracy and model complexity, an appropriate harmonic model is selected for harmonic modeling.

A Review on Differential Power Processing for PV Submodule DMPPT Tao Zhang, Jiahui Jiang Qingdao University Presenter: Tao Zhang

Distributed maximum power point tracking (DMPPT) is an effective method to address the S95 problem of photovoltaic (PV) mismatch and improve the utilization of PV elements. 09:20-09:40 Differential power processing (DPP) is considered a very satisfactory power processing method for submodule level DMPPT. This paper introduces two power processing methods, FPP and DPP, analyses the three DMPPT power transmission architectures based on DPP, PV-PV, PV-bus and PV-IP, and compares the implementation complexity, converter volume, control difficulty, and hardware cost of various typical implementation topologies, and finally analyses the two most common control methods of DMPPT, voltage equalization (VE) and true MPPT.

Optimal Operation Strategy for Micro-Energy Grid based on the C&CG Algorithm Shuai Shi, Jian Chen, Yicheng Zhang, Guilin Huang Shandong University Presenter: Shuai Shi S109 09:40-10:00 An electricity-heat-gas combined micro-energy grid can achieve complementary advantages with unified and coordinated operations of multiple energy sources, and it could also reduce environmental pollutions. In this paper, a multi-objective, two-stage robust optimization scheduling model based on a micro-energy grid is developed with consideration of the renewable energy sources and load uncertainties. The proposed optimization-based

scheduling problem is then solved by a robust optimization algorithm, namely the C&CG algorithm. The CHP (combined heating and power), P2G (power to gas), ground source heat pump, photovoltaic (PV) and energy storage devices are modeled as well as the characteristics of uncertainties. The objective is to minimize the total operating cost, and in the meantime to maximize the energy utilization efficiency in a micro-energy grid system. The methodology proposed in this paper is validated through a case study based on a simplified energy network. Results show the optimality and effectiveness of the proposed strategy.

Session A4: Power Systems & Power Electronics and Motor Drives Session Chair: Jinyu Wang

Venue: Foshan Hall on 2nd floor ( 2 楼佛山厅)

Duration: 10:20-12:00 (Dec. 6th, 2020)

Three-Phase Split Δ-Source Inverter Xupeng Fang, Weishuo Zhang, Xingchen Kan, Qingqing Wang Shandong University of Science and Technology Presenter: Weishuo Zhang

Three winding coupled inductors have been widely used in impedance-source inverters, such as Y-source inverters and delta-source inverters. They can improve the boosting capability of the inverter without adding active switches. However, their boosting coefficients S152 decrease with the increase of the modulation, which will cause the voltage quality and 10:20-10:40 utilization of the DC bus to be greatly reduced under high-voltage gain. Besides, non- negligible leakage inductance exists in this type of impedance source inverter, which will cause a sudden change in the induced current in the impedance source network and produce a larger voltage spike. So it is necessary to introduce buffer or absorption circuits. In order to overcome these limitations, this paper proposes a split Δ-source inverter. Its boosting capability increases with the increase of the modulation. At the same time, there is no voltage spike under the existence of non-negligible leakage inductance and no absorb- circuit. This paper verifies the performance of the inverter from three aspects: theoretical analysis, simulation, and experimental results.

A Graph Label Propagation Semi-Supervised Learning-Based Residential User Profiles Identification Method Using Smart Meter data Hongsheng Li, Fengping Fu, Xinlei Bai, Siqing Yan, Xiaoxing Lu, Kangping Li and Fei Wang North China Electric Power University Presenter: Siqing Yan

Through extensive interaction between residential users and energy systems, deeper insight the residential user profiles (e.g. number of residents, have children or not) become an inevitable requirement of energy utilities or retailers to help them provide more efficient and personalized services to targeted residential users. In recent years, supervised learning S196 methods indicate promising performance in identifying residential user profiles from smart 10:40-11:00 meter data when labeled training samples are sufficient, while the accuracies are significantly decrease under the circumstances of insufficient or unavailable of labeled training samples. In practice, the collection of labelled samples and labeling massive unlabeled samples are very difficult, costly and time-consuming. How to reduce the labelled cost while maintaining the identification accuracy is an urgent problem. To address this issue, a graph-based label propagation semi-supervised learning-based residential user profiles identification approach using smart meter data is proposed in this paper. Specifically, a complete and comprehensive feature engineering including feature extraction (78 preliminary features from time-domain and frequency-domain) and feature selection (more relevant features to the targeted labels) is firstly implemented. Furthermore, the final selected features are input the graph-based label propagation semi-supervised learning

identification model using limited labelled samples to predict residential user profiles. Two cases based on an Irish realistic dataset demonstrate that the proposed method outperforms supervised learning methods especially in the case of limited data.

Response Capability Evaluation of EV Aggregator and Application in Energy and Reserve Markets Xiangchu Xu, Xiaoxing Lu, Fei Wang, Zengqiang Mi, Kangping Li North China Electric Power University Presenter: Xiangchu Xu

Electric vehicles （EVs） can provide multiple auxiliary services for electric power system and obtain certain economic benefits utilizing vehicle-to-grid (V2G) technology. As an agent between the power grid and EV customers, quantitatively evaluating response capability (RC) of electric vehicle aggregator (EVA), i.e., charging and discharging power ranges, ahead of time is of fundamental importance for its participating in electricity markets. S198 However, it is difficult to evaluate RC of individual EV separately due to the stochastic 11:00-11:20 characteristics of travel behaviors of EV customers. To this end, this paper establishes an EV aggregate model to evaluate the aggregate RC of EVA considering the power and energy constraints of entire EVs fleet, and therefore reduces the difficulty to forecast charging demands of EVs fleet. Then, the mathematical elaboration of evaluation method is developed based on the established model. Moreover, to guarantee the accuracy of the evaluation results while meeting the driving demands of EV customers, a heuristic control strategy which considers response time (RT) and state of charge (SOC) indicators comprehensively is designed. Finally, the application of the RC evaluation method for EVA participating in energy and reserve markets is illustrated. The uncertainty of electricity price and the difference between up and down reserve prices are considered in this paper. The case study using a statistical data from EU MERGE project validates the effectiveness of the proposed method.

Customization of Electric Vehicle User’s Participating in Demand Response Based on Driver’s Charging and Driving Habits Ren Hui, Huixin Feng, Ping Chen, Fei Wang Department of Electrical Engineering North China Electric Power University Presenter: Ping Chen

With the implementation of market mechanism to include load aggregators or agents and the promotion of electric vehicles (EVs), EVs have become another major source of demand response (DR). Previous studies tended to analyze the electricity consumption behavior of S217 cluster EV users, ignoring the differences in individual EV user driving habits, so it was 11:20-11:40 difficult to provide a specific DR solution for a single user. In this paper, we propose an analysis method for EV users’ charging and driving habits, and design user behavior characteristic tags, quantify the capabilities that users can participate in demand response without interference in their daily driving, propose a DR program customization method based on the DR capabilities of EV users. This analysis function can be embedded into the intelligent charging pile on the user side to analyze the historical data of each EV user. It only provides the analysis results to the agent, without providing the user’s power consumption data, which can protect the user’s data security. Finally, the analysis is based on the historical electricity consumption data of EV users published on the Internet, which verifies the effectiveness of the proposed method.

Methodology for Determining Limit Scale of Direct Power Purchase Transactions Considering Operating Constraints of Power Systems Maosheng Sang, Teng Tu, Minglei Bao, Diya Zhou, Xunhu Yin, Yi Ding S1001 Zhejiang University Maosheng Sang 11:40-12:00 Presenter:

With the implementation of direct power purchase by large consumers (DPPLC), the electricity market reform gradually has an impact on the conventional operating mode of power systems. It is essential to quantify the limit scale of direct power purchase

transactions (DPPT) so as to ensure the safe operation of power grids. This paper innovatively proposes a method for determining the limit scale of DPPT considering the operating constraints of power systems. The method is implemented by a bi-level optimization model. Specifically, the upper level problem is the market clearing model of DPPT, while the lower level problem is the operating constraint-based security check model. Furthermore, in order to solve the bi-level optimization problem efficiently, an iterative algorithm is proposed. The simulation results show the effectiveness of the proposed method, and the relevant conclusions could provide guidance for the development of DPPLC in some provinces of China.

Session B4: Power Systems Session Chair: Yumin Zhang

Venue: No.1 Meeting Room at 5th Floor (5 楼一号厅)

Duration: 10:20-12:00 (Dec. 6th, 2020)

Data Analysis Systems in European and PJM Electricity Markets and Suggestions for Zhejiang Luosong Jin, Diya Zhou, Jie He, Wen Zhao, Xiangyang Wangand Hengzi Huang Zhejiang Power Exchange Center Co., Ltd., School of Electrical Engineering, Zhejiang University Presenter: Diya Zhou

With the advancement of the power system reform in Zhejiang province, especially the S102 operation of the spot market, the amount of operation data and information in the electricity 10:20-10:40 market has increased significantly. However, due to the lack of a mature and complete data analysis system, it is difficult to effectively utilize the massive and fast-growing power market operation data to analyze and evaluate the market operation status. Therefore, it is essential to learn from the construction experience of foreign power markets such as European and PJM markets, to establish a mature and effective electricity market data analysis system (EMDAS) for Zhejiang. In this paper, EMDASs in Europe and PJM markets are firstly reviewed from two aspects: information disclosure mechanism (IDM) and market evaluation system (MES). Moreover, the commons and differences between the two EMDASs are deeply analyzed and concluded. On this basis, suggestions for the EMDAS construction of Zhejiang are put forward.

Identification of the Weak Areas of Simultaneous Commutation Failure for Multi-infeed DC System during Power System Restoration Bianbian Liu, Hongtao Wang and Hongyu Ai Shandong University Presenter: Bianbian Liu

During the recovery of multi-infeed DC system after blackout, utilizing DC transmission system to provide power for the AC system can improve the load recovery efficiency, but the DC converter station is prone to commutation failure due to AC system faults. This paper S145 focuses on the identification method of weak areas of multi-infeed DC receiving terminal 10:40-11:00 system. Firstly, this paper derives the analytical equations about voltage sag and fault position for three-phase short-circuit faults based on the node impedance matrix. Then the paper derives the formula for calculating the critical voltage sag when the converter station operates normally. The relationship between the allowable voltage sag level of the converter station and the transmission power of the DC line is studied. Finally, an analytical algorithm for identification of weak areas in power grid considering transmission power is proposed. The concept is extended to the multi-infeed DC receiving terminal system, and the area of severity that causes simultaneous commutation failure is analyzed. The effectiveness and practicability of the proposed method are verified by the calculation results based on the multi-infeed DC system model of Shandong 500kv Grid.

Research on Formulation and Decomposition of Medium and Long-Term Electric Power Contracts Jiangyang Yun, Ming Yang, Yuechen Shan, Changhang Zhang, Shiying Huang, Yixiao Yu Shandong University Presenter: Jiangyang Yun

S177 As the continuous progress of electricity market reform, medium and long-term electric 11:00-11:20 power contracts play an important role in risk management, market stability and other aspects, so it is quite necessary to study medium and long-term electric power contracts. This paper analyzes the transaction process and mathematical model of the medium and long-term electric power contracts under different organizational modes. Finally, the decomposition of contract electricity quantity is analyzed. The bidirectional correction method is adopted in this paper, and the method is refined and perfected. Through this method, the fast decomposition of contract electricity quantity considering the actual situation can be realized.

CVaR-constrained Customers’ Discomfort-Minimization Scheduling Strategy of A Demand Response Aggregator Considering PV Uncertainties Guanghua Wu, Hongyu Li, Jia Hu, Xiaoxing Lu and Fei Wang North China Electric Power University Presenter: Xiaoxing Lu

A demand response aggregator (DRA) designed to fully exploit the capability of incentive- responsive loads in the residential sector is responsible for both the optimal bidding in different electricity market externally and the optimal scheduling of multitudinous flexible S193 resources internally, while the latter remains a hard task because of the diversity of demand- 11:20-11:40 side resources. To this end, this paper devises an optimal scheduling scheme for the DRA with the objective of maximizing customers’ comfort level, considering the risk posed by the distributed PV generation. Firstly, the Latin hypercube sampling-based Monte Carlo simulation method is introduced to settle the variability of distributed PV generation. Secondly, in consideration of each customers’ unique discomfort parameters and DR participation willingness, the optimal scheduling model is established for the DRA while preserves the comfort level of residential customers. To hedge against profit loss brought up by PV, the Conditional Value at Risk (CVaR) method is then integrated into the scheduling problem to yield an optimal dispatching plan. Finally, case studies using the dataset from the Ausgrid company verified the validity of the proposed method as a practical decision support tool for DRA to formulate a reliable and profitable scheduling scheme.

A Spatio-Temporal Customer Baseline Load Estimation Approach Based on LAD-LASSO Regression Hongsheng Li, Jia Hu, Bo Chen, Yuxi Wang, Xiaoxing Lu, Kangping Li and Fei Wang North China Electric Power University Presenter: Yuxi Wang

Customer baseline load (CBL) estimation plays a crucial role for customer compensation calculation in demand response (DR) process. Most current customer baseline load estimation methods only consider one of the spatial information in DR event day and the S195 temporal information of DR participants. CBL estimation methods based on spatial 11:40-12:00 information shows instability when load patterns between DR participants and CONTROL group customers are not similar. And CBL estimation methods based on temporal information show poor accuracy when customers’ load pattern changes in DR event day. In order to improve the accuracy of CBL estimation in complex scenes, a spatio-temporal approach for CBL estimation is proposed in this paper. First, all customers are clustered by K-means algorithm, the non-DR customers in the same cluster is regarded as similar customers. Second, the spatio-temporal feature vectors are extracted from history load data of DR participants and similar customers’ load data in DR event day. Third, for each DR customer, a linear function between feature vector and CBL is fitted by LAD-LASSO regression model, by which the CBL is estimated. A comparison with six well-known CBL estimation methods using a dataset of 450 residential customers indicates that the proposed

approach has the best accuracy and robustness performance than other current CBL estimation methods.

Research on DC Microgrid Protection Based on Improved Dual-slope Current Differential Protection Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University Presenter: Mingyang Wang

S142 This paper presents a fault detection method based on an improved dual-slope current 12:00-12:20 differential protection. Traditional current differential protection needs to consider both the action sensitivity in the case of internal faults and the protection reliability in case of external faults. The braking coefficient cannot be set too low, so the sensitivity to highimpedance faults in the area is low. For this reason, this paper improves the traditional current differential protection. On the basis of the dual-slope current differential protection method, it adds a judgment delay with inverse time characteristics. Without changing the original performance of the differential protection, it increases its sensitivity to high-impedance faults in the area and improves the power supply capacity of the system.

Session C4: Renewable Energy Integration Session Chair: Zhao Zhen

Venue: No.4 Meeting Room at 5th Floor (5 楼四号厅)

Duration: 10:20-12:00 (Dec. 6th, 2020)

A Novel Z-source Based High Step-Up DC-DC Converter with Switched-Capacitor for Renewable Energy Systems Jiawei Zhao, Daolian Chen Qingdao University Presenter: Jiawei Zhao

Conventional dc-dc boost converter has limited boost capacity, and its power device suffers high voltage stress. A novel Z-source based dc-dc boost converter featured with high step- S58 up capability and low device voltage stress is proposed in this paper. The proposed topology 10:20-10:40 can also provide a common ground between input and output, which is lacking in the traditional Z-source topology. Compared with other high step-up topologies, the proposed converter can achieve higher voltage gain under the same duty ratio and maintain low voltage stresses on the switch and diode. Moreover, there are fewer passive components in the proposed structure than in other structures. The steady-state analysis for the continuous conduction mode and discontinuous conduction mode is also provided in this manuscript. Finally, a prototype circuit with 40V-60V input voltage, 400V output voltage and 200W output power is implemented in the laboratory. Experiment results confirm the analysis and the features of the proposed converter.

Review and Prospect of Modeling and Optimization of Integrated Energy System Wenxiu Zhang, Jie Lou, Jingshan Wang, Xue Chang, Chaofan Wang, Qiang Yu, Yongliang Liang Shandong University Presenter: Wenxiu Zhang S59 10:40-11:00 Integrated energy system can combine power, thermal and natural gas systems, which can effectively improve energy efficiency and maximize system benefits. The research on integrated energy system covers many aspects, among which the modeling and optimization research of system are more important. On the basis of existing research literature on integrated energy system, this paper summarizes the modeling methods and key issues of optimization research of the system respectively. At the same time, a typical integrated

35 energy system is optimized to verify the feasibility of the relevant methods. In addition, this paper also makes a prospect for the future development of integrated energy system, and puts forward reasonable suggestions on key issues, in order to provide reference for future research.

Modeling and Control of Multiple Flexible Loads in Demand Response Considering Renewable Energy Accommodation Jianye Cui, Taoyi Qi, Yingwei Zhu, Kang Xie, Xiang Ma College of Electrical Engineering of Zhejiang University Presenter: Taoyi Qi

With the development of renewable energy sources (RES), the safe and stable operation of the power system is facing a new challenge. Because of the intermittency and fluctuation of RES, more regulation resources are needed to alleviate the threat to the power system. Compared with traditional generation units, large-scale flexible loads at demand side can S78 provide huge regulation potential for accommodating RES by demand response (DR), such 11:00-11:20 as air conditioners (ACs), electric vehicles (EVs), energy storage systems (ESSs). The models of large-scale flexible loads are developed firstly, based on their operating characteristics, including individual loads and aggregated loads. Meanwhile, a control strategy is proposed to allocate the flexible loads reasonably according to different regulation targets, e.g. peak shaving and valley filling and suppressing the tie-line fluctuation, considering renewable energy accommodation. Finally, several cases are studied to show the performance of the control strategy, based on the real photovoltaic data. The results prove the efficiency of DR by large-scale flexible loads. The irregular fluctuations are reduced by 90 percent, and the peak-valley difference decreases from 457kW to 276kW, which are beneficial to the stable and economic operation of the power system. Besides, large-scale flexible loads can also provide operating reserve, about 4.3% loads of the peak power will be cut down during the power shortage period.

Optimal Configuration of Hydrogen Storage System and Hydrogen Supply Chain Equipment for Regional Integrated Energy System Chutong Wang, Xi Ding, Chuangxin Guo, Bo Yang, Jun Pan, Hang Zhang and Xurui Huang Zhejiang University Presenter: Xi Ding

Hydrogen can be produced from varieties of feedstock. Its ability to reduce the intermittency of renewable energy, along with its versatility in terms of producing or storing energy make S114 it the perfect complement in a system in which renewable energies are the key players. 11:20-11:40 Under the background of integrated energy system (IES), the hydrogen storage system and hydrogen supply chain equipment will be more widely used. This paper studies configuration of hydrogen storage system and hydrogen supply chain equipment in the regional integrated energy system, aiming at reducing wind curtailment and total cost. Firstly, a regional integrated energy system model with hydrogen storage system and hydrogen supply chain equipment is established. Then, aiming at economy, the optimal configuration model of hydrogen storage system and hydrogen supply chain equipment is established. Finally, the effectiveness of the model is verified by a practical example, and the MATLAB toolbox YALMIP with the CPLEX solver is used to conduct the IES configuration planning.

Graph Neural Network-Based Wind Farm Cluster Speed Prediction Fei Wang, Ruifeng Chen, Jiaming Liu, Hui Ren, Zhao Zhen North China Electric Power University Presenter: Ruifeng Chen

S214 The randomness and volatility of wind speed will weaken the power system's stability after 11:40-12:00 the wind power is connected to the grid. It is prone to deviations from voltage and frequency. Therefore, it is imperative to predict wind speed. However, many factors affect wind speed (such as temperature, air pressure, terrain, etc.), and the mechanism of action is complicated, so it is challenging to model wind speed directly. Existing research directly uses all training sets to train the model and does not consider the different wind patterns of wind speed time series. But in different wind patterns, the wind speed will show other

characteristics. Therefore, it is not appropriate to use all historical data to train a single model for predicting wind speed. To achieve better forecasting performance, our forecasting method should be based on wind patterns. Current research focuses on the wind speed prediction of a single wind farm, ignoring the temporal and spatial correlation with nearby wind farms. There is no wind speed prediction method of wind farm cluster. The measurement data of wind farm cluster is not fully utilized. Combined with the graph neural network of deep learning in recent years, we propose a pattern-based wind speed prediction method of wind farm cluster. Using the wind speed and wind direction measurement data of many wind farms in Northwest China, the graph structure data were constructed. The graph neural network model is established for training. Compared with other methods, better wind speed prediction results are obtained.

Session D4: Smart Grid and Communication Technology & Renewable Energy Integration Session Chair: Kangping Li

Venue: No.5 Meeting Room at 5th Floor (5 楼五号厅)

Duration: 10:20-12:00 (Dec. 6th, 2020)

Mine Cable Insulation Double-end Synchronous Monitoring with 5G Transmission Technology Chen Feng, Ming Yang, Xiangjun Zeng, Peng Chen The Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Presenter: Chen Feng

For the neutral point non-effectively grounded system in coal mine power grid, the single- phase ground fault current is quite small, and the steady-state characteristics are non- significant. Therefore, it is quite difficult to detect a small current ground fault effectively, especially for a coal mine power grid. To facilitate single-phase ground fault diagnosis, this S126 paper proposes a new cable insulation monitoring method taking advantage of the 5G 10:20-10:40 transmission technology. This method can independently calculate and analyze the insulation state of each phase, and is not affected by the grounding type. In the proposed method, the 5G communication technology is applied to solve the underground signal transmission problem and realize GPS timing function underground. The underground cable insulation monitoring data can therefore be transmitted to the ground, and a cloud server can be set up for the signal analysis and corresponding calculation. The structure and key technologies of the proposed double-end synchronous monitoring method are analyzed. And the method is verified by simulation on a three-phase cable model. Factors that may cause relative errors corresponding to the actual measurements using the proposed method are discussed at the end of this paper.

Optimal Configuration Method of Hybrid Storage System Tracking the Wind Power Plan Meng Yang, Haoming Liu, Lin Zhao HoHai University Presenter: Meng Yang

The integration of wind power with variability brings a series of problems to the dispatching of power grid. To solve this problem, this paper proposes an optimal configuration method S136 of hybrid energy storage tracking wind power planning. First, the fluctuation between 10:40-11:00 planned and actual wind power output, as well as the battery energy storage regulation demand is introduced. Then, the power distribution methods of lithium batteries and supercapacitors in hybrid energy storage are studied. Finally, considering the energy storage operating constraints, the optimal configuration model of hybrid energy storage tracking wind power plan is established. Case study results show that the proposed method can reduce the cost and the deviation between reported and actual output of wind power by hybrid configuration of two types of energy storage batteries.

37 A Correlation Analysis Method for State Data of Electrical Primary Equipment Suiyang Li, Lisheng Pang, Weimin Ouyang, Chunlei Li, Zhaohui Li School of Electrical and Electronic Engineering, Huazhong University of Science and Technology Presenter: Suiyang Li State monitoring data of electrical equipment have strong correlation due to the strong S161 coupling between electrical primary equipment in power station. On the basis of 11:00-11:20 summarizing the theoretical knowledge and the propagation mechanism of abnormal signals, a correlation method for state data of electrical primary equipment is proposed. Through the horizontal and vertical correlation advantages of the monitoring system, the correlation between monitoring data and the abnormal situation is determined. The monitoring data are effectively correlated and provided to operators for abnormal diagnosis and analysis, which solves the problem of the lack of correlation analysis between primary equipment, and it makes certain practical application value.

Deep Learning based Visualized Wind Speed Matrix Forecasting Model for Wind Power Forecasting Jiaming Liu, Fei Wang and Zhao Zhen North China Electric Power University Presenter: Jiaming Liu

As the penetration rate of wind power generation in the power system gradually increases, the influence of the randomness and volatility of wind power generation on the power system is revealed. Therefore, accurate wind power forecasting is an essential guarantee for the power system's safe and stable operation. Wind power is mainly affected by wind speed, so S215 precise forecasting of wind speed is imperative. Given the insufficient use of information by 11:20-11:40 current wind speed forecasting methods, this paper makes full use of information in two dimensions of time and space. It proposes a method of deep learning based visualized wind speed matrix forecasting model for wind power forecasting. First, the wind speed matrix is formed by extracting the wind speed data under different coordinates. Secondly, the wind speed matrix is converted into a gray image of wind speed by a visualization method. The mapping relationship between the pixels in the gray image and the actual wind speed is established. The convolutional neural network (CNN) algorithm inputs a series of wind speed images and makes forecasting to obtain the forecasted wind speed images and uses the mapping relationship between pixels and wind speed to get the forecasted wind speed data. Finally, the results are compared with the Long short-term memory (LSTM) method. The simulation results show that the method proposed in this paper has higher forecasting accuracy and better robustness in the period when wind speed fluctuates wildly.

An Iterative Dynamic Ensemble Weighting Approach for Ultra-short-term Wind Power Prediction Fei Wang, Shuang Tong, Hui Ren and Zhao Zhen North China Electric Power University Presenter: Shuang Tong

The risk in the safe and stable operation of the power system and economic loss as a result of fluctuation and uncertainty of wind can be effectively reduced by high precision ultra- S216 short-term wind power prediction (USTWPP). In the past ten years, a multitude of studies 11:40-12:00 has grown up around the theme of prediction accuracy, while most of them have ignored the effect of input time step on the prediction results, which makes the prediction accuracy have certain geographical limitations. In order to solve the above problems and ensure that the prediction model can make a more accurate judgment on the changes in wind power output, an iterative dynamic integration weighting method is proposed in this paper. First, the input step size of the rolling prediction is selected to determine the input with promising performance. Then, the proposed model is compared with other general models. We have carried out several sets of experiments to test the validity of this model. The results of the experiment indicate that the proposed model has better performance, especially in the case of rapid fluctuations of wind power.

Virtual Conference - Online Test Session on Dec. 4th Test Room I Zoom ID: 614 0589 2399 S68 S70 S105 S133 S174 S89 S96 S118 S36 S158 S45 S166 S147 S128 S192 S30 Test 1 S25 Test 2 S13 Test 3 S139 Test 4 S32 09:00-10:00 S156 10:00-11:00 S163 11:00-12:00 S80 13:00-14:00 S141 S180 S170 S150 S39 S47 S186 S202 S55 S130 S34 S173 S21 S155 S160 S48 S200 S85 S61 S2 S120 S87 S23 S43 S143 S122 S75 S27 S72 S24 S1003 S10 S99 Test 5 S16 Test 6 S1002 Test 7 S157 Test 8 S104 14:00-15:00 S131 15:00-16:00 S213 16:00-17:00 S212 17:00-18:00 S37 S221 S127 S154 S103 S35 S164 S135 S66 S167 S77 S159 S65 S117 S3 S123 S1005 Test Room II Zoom ID: 624 5346 4789 S7 S101 S165 S18 S46 S187 S67 S188 Test 9 Test 10 Test 11 Test 12 S79 S138 S6 S119 10:00-10:30 10:30-11:00 11:00-11:30 11:30-12:00 S191 S220 S168 S83 S181 S137 S54 S62 Session Chairs can drop in anytime during the time for further test. *Note: - To effectively control the time and avoid some unexpected situations, it's required to join the test session to make sure your presentation can be proceeded normally. - Please read the zoom instruction we sent to you carefully for your further reference. - If you need any further assistance during the conference, you can go to our backup room (ZOOM ID: 662 6546 7120)

- Zoom Meeting Rooms Meeting Room I Meeting Room II Meeting Room III Meeting Room IV 986 4460 1927 699 6198 5060 669 0912 3844 692 6628 0367 Session 2- Session 4- Session 1- Session 3- S156,S180,S47,S130, S131,S221,S35,S167, S83,S174,S36,S147,S25 S85,S87,S122,S24,S16 S155 S117 Session 5- Session 6- Session 7- Session 8- S150,S202,S173,S48 S154,S135,S159,S123 S127,S164,S77,S3 S46,S79,S191,S181 Session 9- Session 10- Session 11- Session 12- S105,S96,S45,S192,S139, S2,S43,S27,S10,S157, S61,S23,S75,S1003, S165,S67,S6,S168,S70, S80 S212 S1002,S213 S7 Session 13- Session 14- Session 15- Session 16- S133,S118,S166,S30,S32, S54,S89,S158,S128,S13 S120,S143,S72,S99, S18,S188,S119,S68,S62 S141,S39,S55,S21,S200, S163,S170,S186,S34, S104,S37,S103,S66,S65 S101,S187,S138,S220, S218,S53 S160 S1005 S137

39 9:00-10:40 Meeting ID: 986 4460 1927 06 Session 1 Power Systems I 12

Chair

Weikang Wang, University of Tennessee

SynchroService: An SaaS Infrastructure to Increase the Availability of Synchrophasor Systems

S68 Weikang Wang, Chang Chen, Kaiqi Sun, Wei Qiu, Yilu Liu 09:00-09:20 Department of EECS, University of Tennessee

Presenter: Weikang Wang Study and Simulation of Combined Cooling Heating and Power System in an Industrial Park

S174 Peng Xu, Qiangsheng Bu, Yuezhu Li, Jian Geng, Junfang Zhang, Qin Ying 09:20-09:40 Nanjing University of Science and Technology

Presenter: Yuezhu Li The Design and Field Test of a Shunt Unified Power Quality Controller for Mitigating Voltage Sags S36 Chang Liu, Lin Xu, Wei Wei, Yingdong Wei, Hua Yang, Xueyuan Liu, Yi Zhang, Ying Wang 09:40-10:00 Electric Power Research Institute of State Grid Sichuan Electric Power Company

Presenter: Chang Liu A Model Predictive Control of SMES-Battery Hybrid Energy Storage System for Voltage Regulation in DC Microgrids S147 Fuyao Ni, Zixuan Zheng, Qi Xie, Chunjun Huang, Yi Zong 10:00-10:20 College of Electrical Engineering, Sichuan University

Presenter: Fuyao Ni Operation-Characteristic Calculation of MMC based HVDC Grid

S25 Xilin Yan, Chenjing Yue, Jianying Wu, Lei Feng, Nan Zhang and Quanrui 10:20-10:40 Hao School of Electrical Engineering, Shandong University

Presenter: Chenjing Yue

9:00-10:40

Meeting ID: 699 6198 5060 06 Session 2

Electric Machines I

Chair

Jinlin Gong, Shandong University

Suppression of the Electromagnetic Vibration in Line-start Permanent Magnet Synchronous Motor

S156 Haojie Cheng, Xu Tang, Zhen Yu 09:00-09:20 Qingdao University of Technology

Presenter: Zhen Yu Analysis of a Novel Hybrid Excitation Synchronous Motor with Asymmetric Rotor

S180 Cong Liu, Wenliang Zhao, Yan Liu, Byung-il Kwon 09:20-09:40 Shandong University

Presenter: congliu Simulation Analysis of Transformer Fractional Fault Model Based on Simulink

S47 Xue Li, Hui Zhong, Guangyu Zhang 09:40-10:00 School of Electrical Engineering, Shandong University

Presenter: Guangyu Zhang Design and Optimization of Hybrid Excitation Synchronous Machine Based on Multi-Objective Genetic Algorithm

S130 Zhishuo Yang, Wenliang Zhao*, Yan Liu, Xiuhe Wang, Byung-il Kwon 10:00-10:20 Shandong University

Presenter: Zhishuo Yang Multi-Physics Analysis of Surface Inset Permanent Magnet Motors with Different Slot-Pole Combinations

S155 Xinyu Liang, Wenliang Zhao, Yan Liu, Xiuhe Wang, Byung-il Kwon 10:20-10:40 School of Electrical Engineering, Shandong University

Presenter: Xinyu liang

9:00-10:40

Meeting ID: 669 0912 3844 06 Session 3

Power Electronics and Motor Drives I

Chair

Xiao Li, The Ohio State University

A Practical Method to Improve the Immunity of Adjustable Speed Drive to Transient Low Voltage Disturbance

S85 Qi Xie, Zixuan Zheng, Xianyong Xiao, Zhong Xu, Kai Zhou, Qianwen Guo 09:00-09:20 College of Electrical Engineering, Sichuan University

Presenter: Qi Xie Research on Active Disturbance Rejection Based on New Single-stage Buck-Boost Inverter

S87 Heng Zhang, Hejin Xiong and Chaozhi He 09:20-09:40 College of Automation, Wuhan University of Technology

Presenter: Heng Zhang Current Stress Minimization and Optimal Control Strategy of Dual-Active-Bridge Converter With Bidirectional Inner Dual Phase Shift Control

S122 Zifeng Deng, Xinyu Jin, Lingchao Kong, Linxiao Gong, Yong Wong 09:40-10:00 School of Electrical Engineering, Shanghai Jiao Tong University

Presenter: Zifeng Deng Ambient-based Oscillation Mode Analysis via Dynamic Ensemble ITD and ARMA Model for Converter-based FFR Application

S24 Wei Qiu, Yuqing Dong, Lin Zhu, Shutang You, Qiu Tang, Junfeng Duan, Wenxuan Yao, Yilu Liu 10:00-10:20 Department of EECS, University of Tennessee

Presenter: Wei Qiu Fluid-kinetic Model for Numerical Simulation of Gas-Solid Insulation Surface Discharge

S16 Bilal Iqbal Ayubi, Zhang Li, Sun Youliang and Yan Qiyue 10:20-10:40 Shandong University

Presenter: Bilal Iqbal Ayubi

42 9:00-10:40

Meeting ID: 692 6628 0367 06 Session 4 Renewable Energy Integration I 12

Chair

Kaiqi Sun, University of Tennessee

Modeling of Flexible Resource Willing to Response Based on Utility Theory: A Case Study of Thermal Load S131 Simian Pang, Fan Luo, Lizhong Zhang, Zixuan Zheng and Lanlan Xu 09:00-09:20 College of Electrical Engineering Sichuan University

Presenter: Simian Pang Review on pumped storage power station in high proportion renewable energy power system

S221 Junhui Li 09:20-09:40 Northeast Eletric Power University

Presenter: Junhui Li An Energy Management Method of Active Distribution Network with Integrated Electric Vehicles and Distributed Wind Power S35 Yi Zhou, Yunli Yue, Shunxin Li, Cunhao Wei, Zening Li, Su Su 09:40-10:00 Beijing Jiaotong University

Presenter: Cunhao Wei An Optimal Function-provided Scheme for Energy Storage System Configured in Windfarm

S70 Kaiqi Sun, Weikang Wang, Wei Qiu, Chang Chen, Chujie Zeng, Yilu Liu 10:00-10:20 Department of EECS, University of Tennessee

Presenter: Kaiqi Sun Research on Multi-dimensional New Energy Consumption Evaluation Index System

S117 Jianyu Lu, Ke Yang, Haibao Zhai 10:20-10:40 NARI Group Corporation, China

Presenter: Ke Yang

43 10:50-12:10 Meeting ID: 986 4460 1927 06 Session 5 Power Systems II 12

Chair

Mengxia Wang, Shandong University

Vehicle Intelligent Inspection Technology based on Automatic Multifunctional Follow-up Probe

S150 Wuyang Gai, Bo Peng, Xuan Zhang, Jianxin Bi, Xiaoyue Li, Xiaolong Zhang 10:50- 11:10 State Grid Shandong Electric Power Company Qingdao Power Supply

Presenter: Xuan Zhang Transient Voltage Estimation of Bipolar VSC Sta-tion Connected to Islanded Renewable Power Plant S202 Dongdong Bu, Quanrui Hao, Xilin Yan 11:10-11:30 Shandong University

Presenter: Dongdong Bu A Novel Identification Method for Low-frequency Oscillation Modes in Power Systems

Qiushi Du, Dachi Zhang, Siyu Han, Shengyao Shi, Junhui Li, Wenbo Qi S173 Northeast Electric Power University, Economic and Technological Research Institute, State 11:30-11:50 Grid Jilin Electric Power Co., Ltd.

Presenter: Wenbo Qi An Overview of Access Standard in Demand Response and Peak Regulation Auxiliary Service Market S48 Xuanyuan Wang, Zhen Liu, Hao Zhang, Yaxuan Han, Dunnan Liu, Heping Jia 11:50-12:10 North China Electric Power University

Presenter: Yaxuan Han

44 10:50-12:10

Meeting ID: 699 6198 5060 06 Session 6 Electric Machines II 12

Chair

Hui Zhong, Shandong University

Design and Optimization of a Novel Dual-Stator Flux-Switching Permanent Magnet Machine

S154 Yongji Wang, Wenliang Zhao, Mingjie Yu, Yubo Yang, Byung-il Kwon 10:50-1 1:10 School of Electrical Engineering, Shandong University

Presenter: Yongji Wang Optimization design of electromagnetic stirrer based on finite element model and NSGA - Ⅱ algorithm S135 Zhenyou Liu, Zhizhen Liu, Xushuai Zhu, Xiaozhao Wei, Shumei Shao 11:10-11:30 School of Electrical Engineering, Shandong University

Presenter: Zhenyou Liu Micromagnetic Simulation of Complex Permeability for Nanocrystalline Alloys under kHz Magnetization S159 Kaihang Guo, Liang Zou, Yuxin Sun, Lingjun Dai, Yunpeng Zhang, Li Zhang 11:30-11:50 School of Electrical Engineering, Shandong University

Presenter: Kaihang Guo Improvement of AFO for Sensorless IM at Zero and Very Low-Speed

S123 LIU ZHUOWEI, YU PEILING 11:50-12:10 Guangzhou Shiyuan Technology Co., Ltd.

Presenter: Liu Zhuowei

10:50-12:10

Meeting ID: 669 0912 3844 06 Session 7

Power Electronics and Motor Drives II

Chair

Peng Wang, Technische Universität Berlin

A Novel Online Parameter Identiﬁcation Algorithm for Deadbeat Control of PMSM Drive

S127 Zitan Wang, Jianyun Chai, Xudong Sun 10:50-11:10 Tsinghua University

Presenter: Zitan Wang Bidirectional Modular Multilevel Converter Based Modelling and Performances Evaluation of Fast Active Power Response for Fequency Regulation

S164 Xiaoyuan Wang, Feng Zhang, Anying Yu, Jinbao Ji, Jingxiang Lu, Dianyun Zhao 11:10-11:30 School of Electrical Engineering Shandong University

Presenter: Xiaoyuan Wang Research on Active Filter for Supraharmonics Suppression of Power Grid

S77 Longyu Xu, Yingjie He, Chao Lei, Jilang Qiu and Qinrui Deng 11:30-11:50 College of Electrical Engineering Xi’an Jiaotong University

Presenter: Longyu Xu Harmonic Current Suppression of Dual Three-Phase Permanent Magnet Synchronous Machine Based on Hybrid Control Strategy

S3 Weiwei Zhang, Bochao Du, Tiannan Li, Shumei Cui 11:50-12:10 Harbin Institute of Technology

Presenter: Weiwei Zhang

46 10:50-12:10 Meeting ID: 692 6628 0367 06 Session 8 Renewable Energy Integration II 12

Chair

Benxin Li, Northeast Electric Power University

Dynamic Transient Power Allocation Strategy in On/Off-Grid DC Microgrid

Kabindra Pokharel, Sonee Sapkota, Weilin Li, Donghua Wu, Ming Yan, Yi Wang S46 School of Automation Northwestern Polytechnical University and Aviation Key Laboratory of 10:50-11:10 Science and Technology on Aerospace Power System Shaanxi Aero Electric Co. Ltd.

Presenter: Kabindra Pokharel Energy Storage Sharing Mechansim Based on Blockchain

S79 Bohang Luo, Xiangyu Shen and Jian Ping 11:10-11:30 Shanghai Jiaotong University

Presenter: Bohang Luo Hierarchical Distributed Frequency Regulation Strategy of Electric Vehicle Cluster Considering Demand Charging Load Optimization

S191 Xiaosong Deng, Qian Zhang, Yan Li, Tao Sun and Huanzhan Yue 11:30-11:50 State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University

Presenter: Xiaosong Deng Calculation method of the line loss rate in transformer district based on neural network with optimized input variables

S181 Yijing Ren, Li Zhang, Haibo Wang and Mengwei Li 11:50-12:10 Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University

Presenter: Yijing Ren

13:30-15:30

Meeting ID: 986 4460 1927 06 Session 9

Power Systems III

Chair

Xingxu Zhu, Shandong University

Insulator Intelligent Recognition Based on Machine Vision and Edge Calculation

Yuntao Sun，Yong Zhang，Suhong Chen，Yufeng Chen，Chaowei Jin，Shenghui Wang， S105 13:30-13:50 Fangcheng Lv Department of Electrical Engineering North China Electric Power University

Presenter: Chaowei Jin Study on the protective effect of the defective insulating sheath used for transmission lines

S96 Fangcheng Lü, Wenwen Zhang and Shenghui Wang 13:50-14:10 North China Electric Power University

Presenter: Wenwen Zhang Research on data segmentation technology of grid-connected test system for new energy plants S45 14:10-14:30 Leshi Zhang, Xiufeng Xing, Xiao Chang, Huipeng Li, Ying Wang

Presenter: Huipeng Li Study on The Influence of Lightning Current on Space-Time Evolution of Secondary ARC

S192 Shengyao Wang, Haoxi Cong, Dong Han, Hao Pan, Qingmin Li 14:30-14:50 North China Electric Power University

Presenter: Shengyao Wang Research on the Characteristic of Waveform Disturbance Caused by the Back-to-Back Capacitor Asynchronous Switching

S139 Jianwei Yao, Jiabi Liang, Zhuoqun Wang, Ke Zhu 14:50-15:10 Shandong University

Presenter: Jianwei Yao Research on Control Strategy of MMC-HVDC Transmission for Offshore Wind Power

S80 Shuai Wang, Ying Xu, Yajun LU 15:10-15:30 State Grid Economic and Technological Research Institute Co., Ltd.

Presenter: Shuai Wang

13:30-15:30

Meeting ID: 699 6198 5060 06 Session 10

Electric Machines III

Chair

Yue Zhang, Shandong University

Dynamic Hysteresis-Loop Controller for Direct Instantaneous Torque Control of Four Phases Switched Reluctance Motors S2 Yiqian Li, Qishuang Ma and Ping Xu 13:30-13:50 Beihang University

Presenter: Yiqian Li Design an Improved Sensorless Sliding Mode Observer for PMSM

S43 Yuhang Bu, Aiyuan Wang 13:50-14:10 Shanghai Dian Ji University

Presenter: Yuhang Bu Analysis of the Characteristics of Gas-Solid Insulation Surface Discharge under High Frequency Sinusoidal Electrical Stress and Construction of Simulation Model

S27 Yan Qiyue, Zhang Li, Zou Liang, Zhao Tong 14:10-14:30 School of Electrical Engineering, Shandong University

Presenter: Yan Qiyue Application of High-Voltage and High-Frequency AC Power in the Experimental Research of DBD Device

S10 Yue Lv, Liang Zou, Ying Sun, Xiaolong Wang, Yuantao Zhang 14:30-14:50 School of Electrical Engineering, Shandong University

Presenter: Yue Lv Effect of Rotor Eccentricity on the Electromagnetic Vibration for Line-start Permanent Magnet Synchronous Motor

S157 Zhen Yu, Xu Tang, Haojie Cheng 14:50-15:10 Qingdao University of Technology

Presenter: Zhen Yu Ultra-Short-Term Regional PV Power Forecasting Based on Fluctuation Pattern Recognition with Satellite Images S212 15:10-15:30 Fei Wang, Chao Wang, Xiangchu Xu, Hui Ren and Zhao Zhen North China Electric Power University

Presenter: Chao Wang

13:30-15:30

Meeting ID: 669 0912 3844 06 Session 11

Power Electronics and Motor Drives III

Chair

Shuning Gao, Shandong University

Research on CLLLC Bi-directional Resonant Based on Time-domain Analysis

S61 Qinrui Deng, Yingjie He, Chao Lei and Jinjun Liu 13:30-13:50 College of Electrical Engineering，Xi’an Jiaotong University

Presenter: Qinrui Deng Study of Double-Sided LCC Compensation Wireless Power Transfer Based on Zero Voltage Switching

S23 Guowen Feng, Zhizhen Liu, Xiaozhao Wei, Zhenyou Liu, Xushuai Zhu, Shumei Shao 13:50-14:10 School of Electrical Engineering, Shandong University

Presenter: Guowen Feng Multiport Hybrid DC Circuit Breaker with Reduced Fault Isolation Time

S75 Shuo Zhang, Guibin Zou, Xiuyan Wei 14:10-14:30 Shandong University, China

Presenter: Shuo Zhang Research on Communication Protocol for Wide Frequency Range Synchronized Measurement

S1003 SHI Bonian, GUO Fang, TONG Shizhou 14:30-14:50 Beijing Sifang Automation Company

Presenter: Shi Bonian Research on Temperature Drift Compensation Method to Improve Measurement Accuracy of Outdoor D-PMU

S1002 LI Xin, SHI Bonian, WU Renbo 14:50-15:10 Beijing Sifang Automation Company

Presenter: Shi Bonian Ultra-Short-Term Wind Power Forecasting Based on Fluctuation Pattern Clustering and Prediction S213 15:10-15:30 Huijing Fan, Zhao Zhen, Jiaming Liu, Fei Wang, Zengqiang Mi North China Electric Power University

Presenter: Huijing Fan

13:30-15:30

06 Meeting ID:

Session 12 12 Renewable Energy Integration III

Chair

Weiyu Bao, Shandong University

Day-ahead Scheduling Model Based on Supply-demand Interaction Mode Considering Production Process of Short-process Steel Enterprise S165 Haibo Wang, Li Zhang, Yijing Ren and Linghan Meng 13:30-13:50 Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education,

Shandong University

Presenter: Haibo Wang Power Coordination Control of Hybrid AC/DC Microgrid Based on Battery’s State of Charge

S67 Yuqin Xu, Wenwen Fan 13:50-14:10 North China Electric Power University

Presenter: Wenwen Fan Development of Distributed Photovoltaic GridConnected Simulation System Based on StarSim Platform S6 14:10-14:30 Chaonan Liu, Zhiyuan Pan, Jinliang Wang, Hongzhen Fan, Weiwei Yang and Hao Zhang Power Marketing Training Department

Presenter: Hongzhen Fan Coordinated Market Clearing Model of Active Distribution Network with TSO

S168 Jingying Yang, Huiping Yu, Zhipeng Zhang, Lin Zhou, Xuefeng Gao,Di Wang 14:30-14:50 Northeast Electric Power University

Presenter: Di Wang Risk-constrained Combined Bidding Strategy for Arbitrage of a Wind Farm with Power-to-gas in a Generation Company S167 14:50-15:10 Peng Liu, Lei Song, Xin She, Shunqiang Feng, Ying Zhang, Di Wang Northeast Electric Power University

Presenter: Di Wang Technical Analysis of Probability Early Warning of User Stealing Electricity Based on Big Data

S7 Jinliang Wang, Chaonan Liu, Jin Qin, Weiwei Yang, Wenbo Wang, Wendong Niu, Zishan Liu 15:10-15:30 and Hongzhen Fan State Grid of Technology College

Presenter: Hongzhen Fan

15:40-19:40

Meeting ID: 986 4460 1927 06 Session 13

Power Systems IV

Chair

Mingqiang Wang, Shandong University

Fault Line Selection Based on the Frequency Characteristics of Feeders S133 Zhuoqun Wang, Jiabi Liang, Jianwei Yao, Ke Zhu 15:40-16:00 Shandong University

Presenter: Zhuoqun Wang Research on Data Acquisition System of Electric Heat Storage Boiler Supporting Big Data S118 Fei Liu, Fangyuan Qiang, Chao Tian, Ke Shi, Lei Wang, Donggang Hu 16:00-16:20 Guoluo Power Supply Company, State Grid Qinghai Electric Power Corporation

Presenter: Fei Liu Economic Power Consumption of Large Industrial Customers under Power Market Environment S166 16:20-16:40 Wei Hou, Mingqiang Wang, Xin Wang Shandong University, State Grid Shandong Electric Power Construction Company

Presenter: Wei Hou Fault Line Selection Method Based on Variational Mode Decomposition Energy Weight

S30 Xingquan Ji, Chengzhi Wang, Yumin Zhang, Jian Yang 16:40-17:00 Shandong University of Science and Technology

Presenter: Chengzhi Wang A TrainsientVoltage Stability Evaluation Model based on Morphological Similarity Distance Online Calculation

S32 Song Dunwen, Yang Xuetao, Li Zheng, Dai Hanyang 17:00-17:20 State Key Laboratory of Power Grid Safety and Energy Conservation （China Electric Power

Research Institute）

Presenter: Song Dunwen Method for Calculating the Equivalent Inertia of Power Systems Considering the Frequency Heterogeneity S141 17:20-17:40 Tiezhu Wang, Mengjun Wang, Shicong Ma, Yiran Jing, Guozheng Wang China Electric Power Research Institute

Presenter: Tiezhu Wang

Evaluation of Instigation of Voltage Sags by Distributed Generation with Anti Islanding Protection S39 17:40-18:00 Khalil Ahmad, Nian Liu, M Rizwan Mushtaq, Ali Waqar, Muhammad Awais, Sunil Pervaiz North China Electric Power University, Beijing, China.

Presenter: Khalil Ahmad Electro-thermal-fluid Coupling Analysis of Ultra-high Voltage Cable Tunnel

He Zhou, Ziqi Lin, Linhua Niu, Xiao Fu and Yaozhong Liu S55 China Energy Engineering Group Anhui Electric Power Design Institute Co., Ltd ,College of 18:00-18:20 Electrical & Information Engineering, Hunan University, State Grid Hefei Power Supply

Company

Presenter: Ziqi Lin Identification of Weak Nodes in AC-DC Hybrid Power Grid Based on Entropy Theory

S21 Xuetao Yang, Wenshan Wang, Qun Yu 18:20-18:40 Shandong University of Science and Technology

Presenter: Wenshan Wang Optimal Scheduling of Microgrids with Multi-Period Islanding Operation Considering Demand- side Management

S200 Mostafa Vahedipour-Dahraie, Homa Rashidizade-Kermani, Miadreza Shafie-Khah, Xiangchu 18:40-19:00 Xu, Fei Wang and João P. S. Catalão

Homa Rashidizade-Kermani University of Birjand Birjand, Iran

Presenter: Mostafa Vahedipour-Dahraie Standardization of Smart Grid Technology for the development of Global Energy Interconnection S218 19:00-19:20 Zhou Zhou and Wei Wang State Grid Corporation of China

Presenter: Zhou Zhou Architecture and roadmap of standard system for Global Energy Interconnection

S57 Wei Wang and Zhou Zhou 19:20-19:40 State Grid Corporation of China

Presenter: Zhou Zhou

15:40-19:00

Meeting ID: 699 6198 5060 06 Session 14

Power Systems V

Chair

Chengfu Wang, Shandong University

Holt-Winters Predicting Model of Energy Meter Based on Optimal Smoothing Coefficient

S54 Yunlong Ma, Jie Wang, Jian Song, Zhi Zheng, Lei Huang, Jiahao Zhang 15:40-16:00 State Grid Jiangsu Electric Power Company, NARI Technology, College of Electrical & Information Engineering, Hunan University

Presenter: Lei Huang Distributed Transaction Optimization for Multiple Microgrids in Grid-Connected and Islanded Modes S89 16:00-16:20 Zhuo Wang, Xingong Cheng, Luhao Wang, Xiju Zong, Xiuhan Lin, Shiyuan He University of Jinan

Presenter: Zhuo Wang Insulator Defect Detection Based on Ultraviolet Imaging and Acoustic Emission Signal

S158 Ming Li, Yugang Jing, Lei Zhang, Xinmei Li, Guilin Huang and Zihao Wang 16:20-16:40 North China Electric Power University

Presenter: Zihao Wang Development of Management System for Insulator UV Imaging Detection

S128 Yufeng Chen, Zhaoli Gao, Mingkai Xv, Xianfei Lu, Leilei Niu, Shenghui Wang, Zihao Wang and 16:40-17:00 Fangcheng Lü North China Electric Power University

Presenter: Leilei Niu Probabilistic Power Flow Algorithm of Active Distribution Network Based on Semi-invariant and Gram-Charlier Expansion S13 17:00-17:20 Zhaoqiang Yang Wucheng Power Supply Company

Presenter: Zhaoqiang Yang

A Novel Traveling Wave Based Fault Location Algorithm for Teed-Circuits

S163 Bin Xu, Sen Yan, Dongfang Hu, Peng Li, Jian Zhang 17:20-17:40 Binzhou Power Supply Company State Grid Shandong Electric Power Company

Presenter: Xiaoyuan Wang Overdetermined Equation Based Fault Location Avoiding Influence of Traveling Wave Velocity

S170 Hui Wang, Aimin Liu, Jincheng Li, Hongkai Yuan, Kelin Yu 17:40-18:00 Binzhou Power Supply Company State Grid Shandong Electric Power Company

Presenter: Xiaoyuan Wang Dynamic Decision-making of Blackstart Scheme Based on VSC-HVDC

S186 Yongjian Ye, Wei Luo, Shangchun Ju, Shujian Huang, Long Yang, Changcheng Li 18:00-18:20 School of Electrical Engineering, Guangxi University

Presenter: Yongjian Ye Soft Open Point–Energy Storage Collaborative Planning Based on Second-order Cone Programming S34 18:20-18:40 Shaoqing Si, Yumin Zhang, Xingquan Ji, Bo Xu Shandong University of Science and Technology

Presenter: Shaoqing Si A Short-term Regional Wind Power Prediction Method Based on XGBoost and Multi-stage Features Selection S160 18:40-19:00 Wenze Li, Xiaosheng Peng, Kai Cheng, Hongyu Wang, Qiyou Xu, Bo Wang and Jianfeng Che Huazhong University of Science and Technology

Presenter: Wenze Li

55 15:40-19:00 Meeting ID: 669 0912 3844 06 Session 15 Power Systems VI 12

Chair

Yan Zhou, Shandong University

A Temperature Control Strategy of Fixed-frequency Air Conditioning Loads for Short-time Peak Clipping S120 15:40-16:00 Zhao Yuqiang, Wang Qi*, Liu Xiaofeng, Li Xueming, Zhang Weiguo, Ji Cheng Nanjing Normal University

Presenter: Zhao Yuqiang Research on Traveling Wave Fault Location Method of Railway Automatic Blocking/Power Continuous Line Based on Noncontact Measurement S143 16:00-16:20 Zilong Wang, Jun Liang, Kai Guo, Chuanxi Liu Shandong University

Presenter: Zilong Wang Transmission System Load Forecasting Using Neural Network Approach, Case Study: Electricité Du Cambodge (EDC) S72 16:20-16:40 Phornnara NOP, Zhijun QIN School of Electrical Engeneering of Guangxi University

Presenter: Phornnara NOP Simulation of propagation characteristics of PD UHF signals inside and outside of switchgear S99 Jinliang Li, Jie Wang, Yingbin Shi, Hongxia Wang, Tao Zhao 16:40-17:00 State Grid Xinjiang Electric Power Research Institute

Presenter: Tao Zhao Cost- Earning Analysis of Regenerative Electric Heating Customer's Participation in Market Transaction By Load Aggregator Agent S104 17:00-17:20 De Wang, Shaohua Liu, Guiliang Chen, Lei Li State Grid Anhui Synthesis Energy Service Co., Ltd.

Presenter: Lei Li

56 Economic Losses Aversion Mechanism of Voltage Sag in Pharmaceutical Industry

S37 Kede Li, Yinyue Shi, Tianchu Li and Ming Fang 17:20-17:40 Tianchu Li Electric Power Research Institute of Hainan Power Grid Co., Ltd; Key Laboratory of Physical and Chemical Analysis for Electric Power of Hainan Province

Presenter: Tianchu Li Continuous Commutation Failure Suppression using Dynamic Reactive Power Control in the Hybrid UHV AC/DC Power System S103 17:40-18:00 Bailiang Liu, Zhenquan Wang, Tao Niu, Hongning Zhen, Zhikun Han Jiangsu Electric Power Co., Ltd.

Presenter: Bailiang Liu The Unified Energy Flow Algorithm Used Back/Forward Sweep Method for Urban Integrated Energy Systems S66 18:00-18:20 Jun Ma, Xingji Hu, Weidong Li, Xinge Qi, Jiaxin Sui and Yun Zhao Dalian University of Technology

Presenter: Jun Ma Distributed Fault Section Location for Active Distribution Network Based on Bayesian Complete Analytic Model S65 18:20-18:40 Yuyang Li and Zengping Wang North China Electric Power University

Presenter: Yuyang Li A Novel Control Strategy for Suppression of HVDC Subsequent Commutation Failure

S1005 Wang Jing, Li Jun, Yang Zengli, Zhang Hao, Cong Xinpeng and Hu Yuzhou 18:40-19:00 Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education Shanghai Jiao Tong University

Presenter: Cong Xinpeng

57 15:40-19:00 Meeting ID: 692 6628 0367 06 Session 16 Power Systems VII 12

Chair

Ying Lu, Technical University of Denmark

Simulation Research on Neutral Grounding Mode of Distribution Network with High Proportion of Cables S18 15:40-16:00 Pengbo Liu, Haoming Zhu, Mengshi Liu School of Electrical Engineering, Shandong University, China

Presenter: Pengbo Liu The Stackelberg Game Park Agent Pricing Strategy Considering the Thermal Inertia of Buildings S188 Yuxing Li, Shiwei Qi, Haokuo Xin, Di Yao, Bo Zhao, Wenbo Qi 16:00-16:20 Northeast Electric Power University,Economic and Technological Research Institute, State Grid Jilin Electric Power Co.,Ltd.

Presenter: Wenbo Qi Research on Hierarchical Autonomous Operation Monitoring of Energy Stations Based on Cloud Technology S119 16:20-16:40 Fei Liu, Fangyuan Qiang, Chao Tian, Ke Shi, Lei Wang, Donggang Hu Guoluo Power Supply Company, State Grid Qinghai Electric Power Corporation

Presenter: Ke Shi Electric field simulation of polluted insulator on EMU roof

S83 Jia Buchao,Liang Shuang,Zhang Qizhe,Chang Bo,Wang Shenhui 16:40-17:00 CSR Qingdao Sifang Locomotive and Rolling Stock Co., Ltd., State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources

Presenter: Bo Chang Analysis of Lightning Strike Failure of Extra High Voltage Overhead Lines in Hubei Power Grid

Tianru Shi, Jianlan Yang, Xiaoqing Lin, Lei Huang, Guan Wang S62 State Grid Hubei Electric Power Company Research Institute, College of Electrical & 17:00-17:20 Information Engineering, Hunan University, Huazhong Electric Power Research &Development Co., Ltd. of Hubei

Presenter: Jianlan Yang

A Partitioning Method for Parallel Power System Restoration Based on Virus Propagation Model S101 17:20-17:40 Shujian Huang, Yongjian Ye, Wenwen Xu, Long Yang, Wei Luo, Changcheng Li School of Electrical Engineering, Guangxi University

Presenter: Shujian Huang An Islanding Integration Strategy During the Reconfiguration of Distribution Systems Based on Multi-Sources S187 17:40-18:00 Wei Luo, Yongjian Ye, Shangchun Ju, Shujian Huang, Wenting Yan, Changcheng Li School of Electrical Engineering, Guangxi University

Presenter: Wei Luo Regenerative Electric Heating Load Modeling Considering Users’ Response Behavior Biases

S137 Ruicong Zhang, Haoming Liu and Wei Chen 18:00-18:20 HoHai University

Presenter: Ruicong Zhang Optimal Allocation of Dynamic Var Sources in Power Systems Using Two-stage Strategy

S220 Yan Chen, Meng Ye, Chao Fu, Jing Li, Yuxiang Xie, Hongwei Zhao 18:20-18:40 State Key Laboratory of HVDC（Electric Power Research Institute of China Southern Power Grid Company Limited）

Presenter: Yan Chen Power Quality Pricing Method Considering Quality Risk in Deregulated Retail Market

S138 Zihao Li and Haoming Liu 18:40-19:00 HoHai University

Presenter: Meng Yang

59 MEMO ______