{"title":"智能配电系统的分散网络重构和恢复。第1部分:分散方法","authors":"F. Ding, K. Loparo","doi":"10.1109/TDC.2014.6863196","DOIUrl":null,"url":null,"abstract":"Network reconfiguration is a constrained, nonlinear, integer optimization problem. This paper presents a decentralized methodology that is capable of incorporating network reconfiguration algorithms to minimize power losses for smart distribution systems. The “optimal” configuration of the entire system results from collaborations of individual agents, and the computational time is greatly reduced compared with conventional approaches.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Decentralized network reconfiguration and restoration for smart distribution systems — Part I: Decentralized approach\",\"authors\":\"F. Ding, K. Loparo\",\"doi\":\"10.1109/TDC.2014.6863196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Network reconfiguration is a constrained, nonlinear, integer optimization problem. This paper presents a decentralized methodology that is capable of incorporating network reconfiguration algorithms to minimize power losses for smart distribution systems. The “optimal” configuration of the entire system results from collaborations of individual agents, and the computational time is greatly reduced compared with conventional approaches.\",\"PeriodicalId\":161074,\"journal\":{\"name\":\"2014 IEEE PES T&D Conference and Exposition\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE PES T&D Conference and Exposition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TDC.2014.6863196\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE PES T&D Conference and Exposition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDC.2014.6863196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decentralized network reconfiguration and restoration for smart distribution systems — Part I: Decentralized approach
Network reconfiguration is a constrained, nonlinear, integer optimization problem. This paper presents a decentralized methodology that is capable of incorporating network reconfiguration algorithms to minimize power losses for smart distribution systems. The “optimal” configuration of the entire system results from collaborations of individual agents, and the computational time is greatly reduced compared with conventional approaches.