Advances in Distribution System Reliability Assessment Nagaraj Balijepalli Iowa State University
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126-2009: Distribution Interruption Performance Reporting
SAS Global Forum 2009 Energy and Utilities Paper 126-2009 Distribution Interruption Performance Reporting: A Complete Solution Author, Chris van der Westhuizen ABSTRACT Most electrical distributors are required to report on the performance of their distributed electrical networks. These measures are required at operational and strategic levels within utilities. Distribution Network Interruption Performance Reporting is the standardized reporting of measures that reflect the performance (reliability) of an electrical distributed network. The measures used for reporting network performance is guided by several international industry standards e.g. Institute of Electrical and Electronics Engineers (IEEE) and International Council on Large Electric Systems (Cigre). Inconsistent, unreliable and non standardized reporting of reliability indices across distributors are the main problems within the industry. This is due to distributed application systems and different interpretations of international standards when calculating reliability indices. This paper aims to give the electrical utility industry an insight into standardization of reporting distribution interruption performance indices by conforming to international standards. The reader will obtain a better perspective of the problems encountered in the industry as well as how a SAS® solution is utilized for reporting these reliability indices. The paper will demonstrate how the problem areas are addressed by utilizing a pre packaged SAS® Business Intelligence solution comprising of: source data extraction, data storage, calculation of reliability indices in accordance with international standards and reporting these indices using SAS® standard reporting. 1 SAS Global Forum 2009 Energy and Utilities INTRODUCTION The IEEE 1366 Standard (Ref 1) is a widely accepted international guide that stipulates the required reporting indices to reflect electrical distribution system performance. -
Impact of Demand Response on Distribution System Reliability
1 Impact of Demand Response on Distribution System Reliability Salman Mohagheghi, Member, IEEE, Fang Yang, Member, IEEE Bamdad Falahati, Student Member, IEEE Abstract—Demand response (DR) is a market driven and aspect of the Smart Grid. Modern distribution automation sometimes semi-emergency action performed at the utility level systems adopt new techniques for fault detection, isolation or at the Demand Response Service Provider (aggregator) with and restoration so that the smallest possible part of the system the objective of reducing the overall demand of the system during is de-energized as a result of a fault while the rest of the peak load hours. If implemented successfully, DR helps postpone customers are supplied through alternative paths and the capacity expansion projects related to the distribution network, and provides a collaborative framework for the alternative resources [3], [4]. In addition, solutions such as liberalized energy market of the Smart Grid. Customers Uninterruptible Power Supplies (UPS), energy storage devices subscribed to the DR program are requested to reduce their and distributed energy resources are some of the alternatives demand or turn off one or more energy consuming appliances in introduced at the distribution level in order to boost the system exchange for financial incentives such as extra payments or reliability for the customers. Although these devices are discounted electricity rates. This would change the concept of efficient in providing short term energy, their role and distribution system reliability as is traditionally known. From one hand, DR could lead to a higher amount of unserved energy; effectiveness is still complementary to that of the grid, and on the other hand, it does not qualify as an unwanted lost load. -
Reliability and Power Quality
Metrics for Micro Grid: Reliability and Power Quality 1 © 2016 Electric Power Research Institute, Inc. All rights reserved. Regional Causes of Power Outage From: Public Power Magazine “Reliability Is a Daily Regimen“ September-October 2014 issue Vol. 72, No. 5 2 © 2016 Electric Power Research Institute, Inc. All rights reserved. The value of distribution resilience - Customer Outages for Major Events Year Event Name Outages Location Damage ($ Million) 2012 Sandy 8,500,000 Northeast US ~100,000 2012 Derecho 4,200,000 Mid-Atlantic 4,000 2011 Irene 6,400,000 Eastern US 10,000 2011 Blizzard 650,000 Mid-Atlantic 1,800 2009 Ice Storm 2,000,000 Midwest 700 2008 Ice Storm 1,700,000 Northeast 80 2008 Ike 6,000,000 Gulf Coast 29,500 2008 Gustav 1,300,000 Gulf Coast 7,000 2007 Ice Storm 900,000 Midwest 200 2007 Wildfires 600,000 California 2,500 2006 Wind Storm 1,800,000 Pacific Northwest 220 2005 Katrina 2,000,000 Gulf Coast 100,000 2005 Rita 1,300,000 Gulf Coast 12,000 3 © 2016 Electric Power Research Institute, Inc. All rights reserved. Sag and Interruption Rate by Month: System Wide, One- Minute Aggregate Window, 1/1/2009 through 12/31/2012 Tropical 5 Storm Beryl 4.5 May-12 Sags (10%<V<90%) 4 Interruptions (V<10%) Tornado Mar-12 3.5 Outbreak Apr-11 3 Sep-11 y = 0.0009x - 33.61 2.5 Jul-12 Days Jun-10 2 Jun-09 Oct-12 Nov-09 1.5 1 Oct-10 Tropical Storm Sandy Aug-12 0.5 Oct-09 Aug-11 y = 0.0002x - 6.2165 DerechoOct-10 Sag and Interruptions per Site per 30 Oct-12 0 Apr-11 Jul-09 Jul-10 Jul-11 Jul-12 Jan-09 Jan-10 Jan-11 Jan-12 Mar-09 Mar-10 Mar-11 Mar-12 Sep-09 Sep-10 Sep-11 Sep-12 Nov-11 Nov-09 Nov-10 Nov-12 May-09 May-10 May-11 May-12 4 © 2016 Electric Power Research Institute, Inc. -
Distributed Processing of Reliability Index Assessment and Reliability-Based Network Reconfiguration in Power Distribution Systems Fangxing Li, Member, IEEE
230 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 20, NO. 1, FEBRUARY 2005 Distributed Processing of Reliability Index Assessment and Reliability-Based Network Reconfiguration in Power Distribution Systems Fangxing Li, Member, IEEE Abstract—Parallel and distributed processing has been broadly generation and transmission systems by Monte Carlo simu- applied to scientific and engineering computing, including various lation [12]. These previous works can be classified into two aspects of power system analysis. This paper first presents a dis- categories: applications of parallel processing [4]–[6], [12] tributed processing approach of reliability index assessment (RIA) for distribution systems. Then, this paper proposes a balanced and applications of distributed processing [7]–[12]. It appears task partition approach to achieve better efficiency. Next, the dis- that more recent works focus on distributed processing. This tributed processing of RIA is applied to reliability-based network is probably due to the latest development in network hardware reconfiguration (NR), which employs an algorithm combining and software, which makes distributed processing faster, more local search and simulated annealing to optimize system reliability. broadly available, and easier-to-implement than before. Testing results are presented to demonstrate the speeded execution of RIA and NR with distributed processing. This paper presents distributed processing schemes of relia- bility index assessment (RIA) and reliability-based network re- Index Terms—Network reconfiguration, parallel and distributed configuration (NR) for distribution systems. Here, the radial dis- processing, power distribution systems, reliability index assess- ment, scalability, simulated annealing. tribution system is addressed, since the majority of U.S. distri- bution systems are radial. In addition, system-level reliability indices are addressed because they are the primary reliability I. -
IEEE 1366- Reliability Indices
IEEE 1366- Reliability Indices IEEE Boston Section- February 19, 2019 John Teixeira, National Grid Some Important Definitions Purpose of IEEE-1366 1. To foster uniformity in the development of distribution service reliability indices and to aid in consistent reporting practices among utilities. 2. To provide guidance for new personnel in the reliability area and to provide tools for internal as well as external comparisons. National Grid 3 What’s a customer Customer: “A metered electrical service point for which an active bill account is established at a specific location.” Sounds like common sense. Just remember: A Three-decker is three customers. An apartment building may be 100 customers. Load doesn’t matter. Population doesn’t matter. National Grid 4 Interruption vs. Outage Interruption: Outage: “The total loss of electric power on one or more “The loss of ability of a component to deliver normally energized conductors to one or more power.” customers connected to the distribution portion of the system.” Does not include “Power Quality” issues (sags, swells, etc.) Part power? Loss of “power” not “voltage”? Distinction: Interruption refers to CUSTOMERS Outage refers to EQUIPMENT National Grid 5 Momentary vs. Sustained Interruption Momentary Interruption: Sustained Interruption: “The brief loss of power delivery to one or more “Any interruption not classified as a part of a customers caused by the opening and closing momentary event. That is, any interruption that operation of an interrupting device.” lasts more than five minutes.” Each recloser operation is a separate Some companies and/or jurisdictions may use momentary interruption one minute or some other interval. -
Electrical Distribution Reliability
ISSN: 2319-8753 International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 9, September 2014 Electrical Distribution Reliability Ashraf Abd Almageed Ahmad1, Dr.Eltahar Mohammed Hussein2 Graduate College Studies, Al-Neelain University, Khartoum, Sudan Faculty of Engineering, Sudan University of Science and Technology, Khartoum Sudan ABSTRACT: The continuous power outages and interruptions in the instantaneous electrical parts distribution network always adversely affect the health, safety and economic activity and the low level of production in the industrial sector .the paper discusses the reliability of the electric distribution network through the study of indicators of reliability analysis technology which is characterized as a fast, efficient and know that by SAIFI, SAIDI, CAIDI, MAIFI, CTAIDI, in order to repeat the failures at different times for Lines 33KV and 11KV, from readings to the control station for the automated distribution network for the Omdurman area. KEYWORDS: SAIFI, SAIDI, CAIDI, CAIFI, MAIFI, CTAIDI, distribution, reliability. I.INTRODUCTION Provide consumers with electric power in the range of distribution of electrical networks in a way that the quality of service and high reliability, and that the importance of the reliability of electrical distribution networks as a factor of development and economic growth, as studies have shown which confirmed that 80% of interruptions in the supply of electric power resulting from the problems and breakdowns in the electrical distribution networks [1,2] . Electrical distribution systems are usually radially so exposed to the rates of interruption because of system components of transformers and breakers and switching devices, the growing demand for customers to provide high-quality service makes requirements for improvements in the electrical distribution network. -
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