Optimization of Community Based Virtual Power Plant with Embedded Storage and Renewable Generation
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Primary Frequency Response Improvement in Interconnected Power Systems Using Electric Vehicle Virtual Power Plants
Article Primary Frequency Response Improvement in Interconnected Power Systems Using Electric Vehicle Virtual Power Plants Hassan Haes Alhelou 1,* , Pierluigi Siano 2 , Massimo Tipaldi 3 and Raffaele Iervolino 4 and Feras Mahfoud 5 1 Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering, Tishreen University, Lattakia 2230, Syria 2 Department of Management Innovation Systems, University of Salerno, 84084 Salerno, Italy; [email protected] 3 Department of Engineering, University of Sannio, 82100 Benevento, Italy; [email protected] 4 Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Napoli, Italy; rafi[email protected] 5 Department of Power Systems, Polytechnic University of Bucharest, 060042 Bucharest, Romania; [email protected] * Correspondence: [email protected] or [email protected] Received: 21 April 2020; Accepted: 14 May 2020; Published: 16 May 2020 Abstract: The smart grid concept enables demand-side management, including electric vehicles (EVs). Thus way, some ancillary services can be provided in order to improve the power system stability, reliability, and security. The high penetration level of renewable energy resources causes some problems to independent system operators, such as lack of primary reserve and active power balance problems. Nowadays, many countries are encouraging the use of EVs which provide a good chance to utilize them as a virtual power plant (VPP) in order to contribute to frequency event. This paper proposes a new control method to use EV as VPP for providing primary reserve in smart grids. The primary frequency reserve helps the power system operator to intercept the frequency decline and to improve the frequency response of the whole system. -
Virtual Power Plants in Competitive Wholesale Electricity Markets
Virtual Power Plants in Competitive Wholesale Electricity Markets Experience with RWE Virtual Power Plant in Germany How new business models can enable Virtual Power Plants through new energy market opportunities in US Prashanth Duvoor Siemens Smart Grid Division © Siemens AG 2012. All rights reserved. Page 1 April 18, 2013 Infrastructure & Cities Sector – Smart Grid Division Key Challenges Drive Implementation of Demand Response Programs & Virtual Power Plants Challenges Generation & network bottlenecks New market opportunities for Increasing peak load Trends distributed energy resources prices and demand response Increasing distributed & renewable generation Rising consumption © Siemens AG 2012. All rights reserved. Page 2 April 18, 2013 Infrastructure & Cities Sector – Smart Grid Division Short Overview of German Electricity Markets – before we look at the RWE VPP Example European § Standard products traded at the EEX are hourly day-ahead Energy contracts as well as bundled base and peak contracts. Exchange § Operates an intra-day market based on the same hourly EEX contracts traded in the day-ahead market. § TSOs is responsible to maintain the transmission system stability and reliability in supply (Primary, Secondary and tertiary reserve) § Primary reserve satisfy a TSOs’ demand for up/down Transmission System regulation Activation time: 30 sec, and Availability time: up Operator to 15 mins (TSO) § Secondary reserve - satisfy a TSOs’ demand for up/down regulation Activation time: 5 mins, and Availability time: 15 mins to 1 hr § Tertiary -
Electric Vehicle Charging Impact on Load Profile
Electric Vehicle Charging Impact on Load Profile PIA GRAHN Licentiate Thesis Stockholm, Sweden 2013 School of Electrical Engineerging TRITA-EE 2012:065 Royal Institute of Technology ISSN 1653-5146 SE-100 44 Stockholm ISBN 978-91-7501-592-7 SWEDEN Akademisk avhandling som med tillstånd av Kungl Tekniska högskolan framlägges till offentlig granskning för avläggande av Teknologie licentiatexamen i elektrotekniska system torsdagen den 17 januari 2013 klockan 10.00 i i sal E3, Kungliga Tekniska Högskolan, Osquars backe 14, Stockholm. © Pia Grahn, January 2013 Tryck: Eprint AB 2012 iii Abstract One barrier to sustainable development is considered to be greenhouse gas emissions and pollution caused by transport, why climate targets are set around the globe to reduce these emissions. Electric vehicles (EVs), may be a sustainable alternative to internal combustion engine vehicles since having EVs in the car park creates an opportunity to reduce greenhouse gas emissions. This is due to the efficiency of the electric motor. For EVs with rechargeable batteries the opportunity to reduce emissions is also dependent on the genera- tion mix in the power system. EVs with the possibility to recharge the battery from the power grid are denoted plug-in electric vehicles (PEVs) or plug-in- hybrid electric vehicles (PHEVs). Hybrid electric vehicles (HEVs), without external recharging possibility, are not studied, hence the abbreviation EV further covers PHEV and PEV. With an electricity-driven private vehicle fleet, the power system will ex- perience an increased amount of variable electricity consumption that is de- pendent on the charging patterns of EVs. Depending on the penetration level of EVs and the charging patterns, EV integration creates new quantities in the overall load profile that may increase the load peaks. -
Feasibility Study of a Virtual Power Plant for Ludvika
Examensarbete 30 hp Juni 2013 Feasibility study of a Virtual Power Plant for Ludvika Johanna Lundkvist Abstract Feasibility study of a Virtual Power Plant for Ludvika Johanna Lundkvist Teknisk- naturvetenskaplig fakultet UTH-enheten This thesis is a feasibility study of a virtual power plant (VPP) in central Besöksadress: Sweden and part of a project with Ångströmlaboratoriet Lägerhyddsvägen 1 InnoEnergy Instinct and STRI. The VPP Hus 4, Plan 0 consists of a wind park, small hydro plant as well as solar photovoltaic and Postadress: energy storage. The 50 kV Box 536 751 21 Uppsala subtransmission network was modeled in order to evaluate the network services Telefon: that could be provided by coordinating 018 – 471 30 03 existing distributed energy resources in Telefax: the network. Simulations where performed 018 – 471 30 00 using measured hourly variations in production and consumption of all Hemsida: network nodes. The studied network http://www.teknat.uu.se/student services included both reactive and active power control. The aim of this thesis is to evaluate the potential contribution from the VPP for capacity firming in order to allow a balance responsible party to meet placed bids on the day-ahead spot market, minimize peak load in order to reduce subscribed power, decrease network losses, the contribution from reactive power control using the power converters is studied. Comparisons of the economic gains from spot and balance markets of the VPP distributed energy resources are made for each operation case. Handledare: Nicholas Etherden Ämnesgranskare: Joakim Widén Examinator: Kjell Pernestål ISSN: 1650-8300, UPTEC ES 13015 Sponsor: InnoEnergy Instinct and STRI Populärvetenskaplig sammanfattning El producerad från intermittenta produktionskällor, som till exempel sol och vindkraft, förväntas öka. -
Innovation Landscape for a Renewable-Powered Future: Solutions to Integrate Variable Renewables
INNOVATION LANDSCAPE FOR A RENEWABLE-POWERED FUTURE: SOLUTIONS TO INTEGRATE VARIABLE RENEWABLES SUMMARY FOR POLICY MAKERS POLICY FOR SUMMARY INNOVATION LANDSCAPE FOR A RENEWABLE POWER FUTURE Copyright © IRENA 2019 Unless otherwise stated, material in this publication may be freely used, shared, copied, reproduced, printed and/or stored, provided that appropriate acknowledgement is given of IRENA as the source and copyright holder. Material in this publication that is attributed to third parties may be subject to separate terms of use and restrictions, and appropriate permissions from these third parties may need to be secured before any use of such material. Citation: IRENA (2019), Innovation landscape for a renewable-powered future: Solutions to integrate variable renewables. Summary for policy makers. International Renewable Energy Agency, Abu Dhabi. Disclaimer This publication and the material herein are provided “as is”. All reasonable precautions have been taken by IRENA to verify the reliability of the material in this publication. However, neither IRENA nor any of its officials, agents, data or other third-party content providers provides a warranty of any kind, either expressed or implied, and they accept no responsibility or liability for any consequence of use of the publication or material herein. The information contained herein does not necessarily represent the views of the Members of IRENA. The mention of specific companies or certain projects or products does not imply that they are endorsed or recommended by IRENA in preference to others of a similar nature that are not mentioned. The designations employed and the presentation of material herein do not imply the expression of any opinion on the part of IRENA concerning the legal status of any region, country, territory, city or area or of its authorities, or concerning the delimitation of frontiers or boundaries. -
Generation of Customer Load Profiles Based on Smart-Metering Time
Dipartimento di Ingegneria Industriale DII Dipartimento di Ingegneria dell'Informazione DEI TESI DI LAUREA MAGISTRALE IN INGEGNERIA DELL'ENERGIA ELETTRICA Generation of customer load profiles based on smart-metering time series, building-level data and aggregated measurements RELATORI: Prof. Andrea Alberto Pietracaprina Dipartimento di Ingegneria dell'Informazione (DEI) Universit`adegli Studi di Padova Dr. Andreas Ulbig Adaptricity AG, Power Systems Laboratory Swiss Federal Institute of Technology (ETH), Svizzera Prof. Pierre Pinson Department of Electrical Engineering Technical University of Denmark (DTU), Danimarca LAUREANDO: Damiano Toffanin ANNO ACCADEMICO 2015/2016 Abstract Many countries are rolling out new devices to measure household electricity consumption, the so-called \smart meters". These devices can be remotely read and are able to measure consumption multiple times per day, usually every 15 or 30 minutes in European countries. Such abundance of data allows to achieve very detailed insight on consumption patterns and power flows in distribution networks. Nevertheless, smart meters have not been rolled out everywhere yet: some areas of the distribution grid are only partially covered, others are not covered at all. The latter are \blind grid areas" from the perspective of the grid operator. This is likely to be the typical European situation, at least for the next decade. Therefore, it becomes important to provide an estimation on how these \blind grid areas" behave. This can be done by a proper exploitation of the previously unseen abundance of data. The research focus is to generate load profiles estimating a realistic consumption for a specific blind area. This thesis illustrates a model based on machine learning techniques and Markov chains for generating realistic Synthesized Load Profiles (SLPs) to model consumption of buildings not equipped with smart meters. -
Load Profile Analysis of Medium Voltage Regulating Transformers
Atlantis Highlights in Engineering, volume 6 14th International Renewable Energy Storage Conference 2020 (IRES 2020) Load Profile Analysis of Medium Voltage Regulating Transformers on Battery Energy Storage Systems (BESS) Robert Beckmann Ewald Roben¨ Jens Clemens Energy Systems Technology swb Erzeugung AG & Co. KG swb Services AG & Co. KG German Aerospace Center Bremen, Germany Bremen, Germany Institute of Networked Energy Systems [email protected] [email protected] Oldenburg, Germany [email protected] Frank Schuldt Karsten von Maydell Energy Systems Technology Energy Systems Technology German Aerospace Center German Aerospace Center Institute of Networked Energy Systems Institute of Networked Energy Systems Oldenburg, Germany Oldenburg, Germany [email protected] [email protected] Abstract—Battery Energy Storage Systems (BESS) already after completion of the prequalification procedures up to 63 % cover a large part of the Frequency Containment Reserve (FCR) of the FCR will be provided by BESS. in Germany. If these are built at locations of conventional power In 2018, swb Erzeugung AG & Co. KG constructed and plants, the infrastructure available there may be utilized. In this paper we investigate how the secondary voltages of two commissioned the hybrid control power plant (Hybridregel- medium voltage regulating transformers differ by means of kraftwerk) HyReK in Bremen Hastedt for the provision of a model-based analysis. The first transformer is the auxiliary 18 MW FCR power. The HyReK combines a 14.244 MWh power transformer of a coal-fired power plant. The second, BESS with a power-to-heat option. This hybrid approach identical transformer connects the hybrid power plant HyReK allows negative control power to be fed from the power grid to the medium voltage grid to provide FCR. -
The Demand-Side Grid (Dsgrid) Model Documentation
The Demand-side Grid (dsgrid) Model Documentation Electrification Futures Study The Demand-Side Grid (dsgrid) Model Documentation Elaine Hale,1 Henry Horsey,1 Brandon Johnson,2 Matteo Muratori,1 Eric Wilson,1 Brennan Borlaug,1 Craig Christensen,1 Amanda Farthing,1 Dylan Hettinger,1 Andrew Parker,1 Joseph Robertson,1 Michael Rossol,1 1 1 2 Gord Stephen, Eric Wood, and Baskar Vairamohan 1 National Renewable Energy Laboratory 2 Electric Power Research Institute Suggested Citation Hale, Elaine, Henry Horsey, Brandon Johnson, Matteo Muratori, Eric Wilson, et al. 2018. The Demand-side Grid (dsgrid) Model Documentation. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-71492. https://www.nrel.gov/docs/fy18osti/71492.pdf. NOTICE This work was authored in part by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36- 08GO28308. Funding provided by U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Office of Strategic Programs. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. U.S. Department of Energy (DOE) reports produced after 1991 and a growing number of pre-1991 documents are available free via www.OSTI.gov. Cover image from iStock 452033401. NREL prints on paper that contains recycled content. Preface This report is one in a series of Electrification Futures Study (EFS) publications. The EFS is a multi-year research project to explore widespread electrification in the future energy system of the United States. -
A Virtual Power Plant Solution for Aggregating Photovoltaic Systems and Other Distributed Energy Resources for Northern European Primary Frequency Reserves
energies Article A Virtual Power Plant Solution for Aggregating Photovoltaic Systems and Other Distributed Energy Resources for Northern European Primary Frequency Reserves Rakshith Subramanya 1,* , Matti Yli-Ojanperä 1, Seppo Sierla 1 , Taneli Hölttä 1, Jori Valtakari 2 and Valeriy Vyatkin 1,3,4 1 Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, FI-00076 Espoo, Finland; matti.yli-ojanpera@aalto.fi (M.Y.-O.); seppo.sierla@aalto.fi (S.S.); taneli.holtta@aalto.fi (T.H.); valeriy.vyatkin@aalto.fi (V.V.) 2 Siemens Osakeyhtiö, 02600 Espoo, Finland; [email protected] 3 SRT, Luleå University of Technology, 97187 Luleå, Sweden 4 International Research Laboratory of Computer Technologies, ITMO University, 197101 St. Petersburgh, Russia * Correspondence: rakshith.subramanya@aalto.fi Abstract: Primary frequency reserves in Northern Europe have traditionally been provided with hydro plants and fossil fuel-burning spinning reserves. Recently, smart distributed energy resources have been equipped with functionality needed to participate on frequency reserves. Key categories of such resources include photovoltaic systems, batteries, and smart loads. Most of these resources are small and cannot provide the minimum controllable power required to participate on frequency reserves. Thus, virtual power plants have been used to aggregate the resources and trade them on Citation: Subramanya, R.; Yli-Ojanperä, the frequency reserves markets. The information technology aspects of virtual power plants are M.; Sierla, S.; Hölttä, T.; Valtakari, J.; proprietary and many of the details have not been made public. The first contribution of this article is Vyatkin, V. A Virtual Power Plant to propose a generic data model and application programming interface for a virtual power plant with Solution for Aggregating Photovoltaic the above-mentioned capabilities. -
Load Reduction, Demand Response and Energy Efficient Technologies and Strategies
PNNL-18111 Prepared for the U.S. Department of Energy under Contract DE-AC05-76RL01830 Load Reduction, Demand Response and Energy Efficient Technologies and Strategies PA Boyd GB Parker DD Hatley November 2008 PNNL-18111 Load Reduction, Demand Response and Energy Efficient Technologies and Strategies PA Boyd GB Parker DD Hatley November 2008 Prepared for the U.S. Department of Energy under Contract DE-AC05-76RL01830 Pacific Northwest National Laboratory Richland, Washington 99352 Executive Summary The Department of Energy‟s (DOE‟s) Pacific Northwest National Laboratory (PNNL) was tasked by the DOE Office of Electricity (OE) to recommend load reduction and grid integration strategies, and identify additional demand response (energy efficiency/conservation opportunities) and strategies at the Forest City Housing (FCH) redevelopment at Pearl Harbor and the Marine Corps Base Hawaii (MCBH) at Kaneohe Bay. The goal was to provide FCH staff a path forward to manage their electricity load and thus reduce costs at these FCH family housing developments. The initial focus of the work was at the MCBH given the MCBH has a demand-ratchet tariff, relatively high demand (~18 MW) and a commensurate high blended electricity rate (26 cents/kWh). The peak demand for MCBH occurs in July-August. And, on average, family housing at MCBH contributes ~36% to the MCBH total energy consumption. Thus, a significant load reduction in family housing can have a considerable impact on the overall site load. Based on a site visit to the MCBH and meetings with MCBH installation, FCH, and Hawaiian Electric Company (HECO) staff, the following are recommended actions – including a “smart grid” recommendation – that can be undertaken by FCH to manage and reduce peak-demand in family housing. -
UNIVERSITY of CALIFORNIA Los Angeles Data Driven State
UNIVERSITY OF CALIFORNIA Los Angeles Data Driven State Estimation in Distribution Systems A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Mechanical Engineering by Zhiyuan Cao 2020 © Copyright by Zhiyuan Cao 2020 ABSTRACT OF THE DISSERTATION Data Driven State Estimation in Distribution Systems by Zhiyuan Cao Doctor of Philosophy in Mechanical Engineering University of California, Los Angeles, 2020 Professor Rajit Gadh, Chair Increasing penetration of distributed energy resources (DERs) and electric vehicle (EV) charging load has brought intermittency into the distribution systems. Specially, power generation from the onsite renewable energy sources such as solar photo-voltaic is known to be intermittent. Together with variable EV charging loads that are highly dependent on user behavior, bi-directional power flows can be introduced into the distribution networks that results in unclear power flow direction, which may violate grid operating constraints such as voltage constraints and current magnitude constraints. Hence, it is necessary to study and implement distribution system state estimation (DSSE) as it provides voltage, current, and power information of every single element in the distribution system, and further enables examination of the operating constraints that help maintain the system in a normal operating status. ii Unlike transmission systems that are well-monitored with measurement redundancy, distribution systems are usually characterized by measurement scarcity and rely on pseudo-measurements modeled from historical data. Traditional pseudo-measurement methods assume static load profiles and fail to address the impact of DERs and EV charging penetration as a dynamic process. This dissertation proposed a pseudo-measurement modeling method at phase-level using user- level data to model the change of load profiles due to this penetration. -
The Future of Sustaining Energy Using Virtual Power Plant: Challenges and Opportunities for More Efficiently Distributed Energy Resources in Indonesia
Advances in Economics, Business and Management Research, volume 59 International Conference on Energy and Mining Law (ICEML 2018) The Future of Sustaining Energy Using Virtual Power Plant: Challenges and Opportunities for More Efficiently Distributed Energy Resources in Indonesia Moh Fadli Diah Pawestri Maharani Airin Liemanto Faculty of Law Faculty of Law Faculty of Law University of Brawijaya University of Brawijaya University of Brawijaya Malang, East Java, Indonesia Malang, East Java, Indonesia Malang, East Java, Indonesia [email protected] [email protected] airin.liem999@gmail Abstract - Energy plays a vital role worldwide. In gross domestic product grows about 7.1% in average, Indonesia, there are 40 million people living without electricity leading to the growth of energy which also rises as much as and this lack of electricity has hindered investment. 4.7% per year from 1,079 millions in 2012 to 1,960 millions Meanwhile, fossil energy sources are predicted to run out by equal to oil barrel in 2025 [3]. 2015. This alarming condition encourages the researchers to find alternative renewable energy resources for sustainable Since the need for energy in Indonesia rises, energy energy. Virtual Power Plant (VPP) is a promising solution, management must receive enough attention especially in especially in terms of storage and distribution of the energy. terms of its provision, utilisation, and sustainable VPP collects energy from geothermal power, water, sun, wind, distribution. For long term enviro-friendly energy and so forth, operated by a single energy generator. The electricity produced is processed and distributed to several management, energy resource plan and development in units.