{"title":"基于改进IEEE 33总线测试系统的主动配电系统状态估计","authors":"J. Watitwa, K. Awodele","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9041234","DOIUrl":null,"url":null,"abstract":"Distributed Generation units have been continuously deployed over the past twenty years in distribution power systems as mitigation against greenhouse gas emissions and climate change. Therefore distribution systems, which were designed initially as passive networks with little monitoring, are evolving into active networks, forcing Distribution System Operators to implement the required Distribution Management Systems control applications. Distribution System State Estimation (DSSE) is a crucial component in Distribution Management Systems. However, despite Transmission System State Estimation being common since its inception in the late 1960s, its methods are not directly transferable to DSSE since transmission systems differ from distribution networks in their operation, design, and topology. This paper develops and tests the performance of Active Distribution System State Estimation Weighted Least Square (WLS) algorithm, which considers the integration of Distributed Generation. The optimum Distributed Generation units placement on the IEEE 33 is evaluated using the Particle Swarm Optimization method. Finally, the state estimation results are compared with real-time load flow results obtained from MATLAB Simulation.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Active Distribution System State Estimation on Modified IEEE 33 bus test system\",\"authors\":\"J. Watitwa, K. Awodele\",\"doi\":\"10.1109/SAUPEC/RobMech/PRASA48453.2020.9041234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed Generation units have been continuously deployed over the past twenty years in distribution power systems as mitigation against greenhouse gas emissions and climate change. Therefore distribution systems, which were designed initially as passive networks with little monitoring, are evolving into active networks, forcing Distribution System Operators to implement the required Distribution Management Systems control applications. Distribution System State Estimation (DSSE) is a crucial component in Distribution Management Systems. However, despite Transmission System State Estimation being common since its inception in the late 1960s, its methods are not directly transferable to DSSE since transmission systems differ from distribution networks in their operation, design, and topology. This paper develops and tests the performance of Active Distribution System State Estimation Weighted Least Square (WLS) algorithm, which considers the integration of Distributed Generation. The optimum Distributed Generation units placement on the IEEE 33 is evaluated using the Particle Swarm Optimization method. Finally, the state estimation results are compared with real-time load flow results obtained from MATLAB Simulation.\",\"PeriodicalId\":215514,\"journal\":{\"name\":\"2020 International SAUPEC/RobMech/PRASA Conference\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International SAUPEC/RobMech/PRASA Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International SAUPEC/RobMech/PRASA Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Active Distribution System State Estimation on Modified IEEE 33 bus test system
Distributed Generation units have been continuously deployed over the past twenty years in distribution power systems as mitigation against greenhouse gas emissions and climate change. Therefore distribution systems, which were designed initially as passive networks with little monitoring, are evolving into active networks, forcing Distribution System Operators to implement the required Distribution Management Systems control applications. Distribution System State Estimation (DSSE) is a crucial component in Distribution Management Systems. However, despite Transmission System State Estimation being common since its inception in the late 1960s, its methods are not directly transferable to DSSE since transmission systems differ from distribution networks in their operation, design, and topology. This paper develops and tests the performance of Active Distribution System State Estimation Weighted Least Square (WLS) algorithm, which considers the integration of Distributed Generation. The optimum Distributed Generation units placement on the IEEE 33 is evaluated using the Particle Swarm Optimization method. Finally, the state estimation results are compared with real-time load flow results obtained from MATLAB Simulation.