{"title":"基于IBPSO-SA算法的配电网故障恢复策略","authors":"Yi Wu, Enming Bai, Yan Zhang","doi":"10.1117/12.2680088","DOIUrl":null,"url":null,"abstract":"In order to further improve the efficiency and reliability of the active distribution net-work in the process of failure recovery, based on the IBPSO-SA algorithm, the failure recovery analysis of the active distribution network with a high proportion of distributed power sources is carried out. On the basis of preliminary isolated island partitioning, the three objective functions of the largest total amount of important load recovery, the smallest network loss, and the smallest number of switching operations are considered comprehensively. The IBPSO-SA algorithm is used to solve the optimal fault recovery strategy. The IEEE33-node distribution network model is used for simulation verification. The results show that the time-varying and load characteristic models of photovoltaic energy storage systems are superior, and the active distribution network fault recovery strategy based on the IBPSO-SA algorithm can reliably restore power supply.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distribution network fault recovery strategy based on IBPSO-SA algorithm\",\"authors\":\"Yi Wu, Enming Bai, Yan Zhang\",\"doi\":\"10.1117/12.2680088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to further improve the efficiency and reliability of the active distribution net-work in the process of failure recovery, based on the IBPSO-SA algorithm, the failure recovery analysis of the active distribution network with a high proportion of distributed power sources is carried out. On the basis of preliminary isolated island partitioning, the three objective functions of the largest total amount of important load recovery, the smallest network loss, and the smallest number of switching operations are considered comprehensively. The IBPSO-SA algorithm is used to solve the optimal fault recovery strategy. The IEEE33-node distribution network model is used for simulation verification. The results show that the time-varying and load characteristic models of photovoltaic energy storage systems are superior, and the active distribution network fault recovery strategy based on the IBPSO-SA algorithm can reliably restore power supply.\",\"PeriodicalId\":201466,\"journal\":{\"name\":\"Symposium on Advances in Electrical, Electronics and Computer Engineering\",\"volume\":\"116 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Symposium on Advances in Electrical, Electronics and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2680088\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Advances in Electrical, Electronics and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2680088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distribution network fault recovery strategy based on IBPSO-SA algorithm
In order to further improve the efficiency and reliability of the active distribution net-work in the process of failure recovery, based on the IBPSO-SA algorithm, the failure recovery analysis of the active distribution network with a high proportion of distributed power sources is carried out. On the basis of preliminary isolated island partitioning, the three objective functions of the largest total amount of important load recovery, the smallest network loss, and the smallest number of switching operations are considered comprehensively. The IBPSO-SA algorithm is used to solve the optimal fault recovery strategy. The IEEE33-node distribution network model is used for simulation verification. The results show that the time-varying and load characteristic models of photovoltaic energy storage systems are superior, and the active distribution network fault recovery strategy based on the IBPSO-SA algorithm can reliably restore power supply.