{"title":"Multi-objective reconfiguration of radial distribution networks considering voltage sags","authors":"R. Tapia-Juarez, E. Espinosa-Juárez","doi":"10.1109/ROPEC.2013.6702754","DOIUrl":null,"url":null,"abstract":"This paper focuses on the problem of multi-objective reconfiguration of distribution networks taking into account the reduction voltage sags. The proposed methodology based on genetic algorithms finds the optimal reconfiguration for networks which have a radial topology, considering the expected occurrence of voltage sags reduction and also the real power losses; furthermore, the electric distribution system is represented as a graph, and the population is generated by providing the mesh information of the system. Case studies are presented for the IEEE 69-bus test network, demonstrating the effectiveness of the implemented methodology.","PeriodicalId":307120,"journal":{"name":"2013 IEEE International Autumn Meeting on Power Electronics and Computing (ROPEC)","volume":"2004 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Autumn Meeting on Power Electronics and Computing (ROPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROPEC.2013.6702754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper focuses on the problem of multi-objective reconfiguration of distribution networks taking into account the reduction voltage sags. The proposed methodology based on genetic algorithms finds the optimal reconfiguration for networks which have a radial topology, considering the expected occurrence of voltage sags reduction and also the real power losses; furthermore, the electric distribution system is represented as a graph, and the population is generated by providing the mesh information of the system. Case studies are presented for the IEEE 69-bus test network, demonstrating the effectiveness of the implemented methodology.