{"title":"降低电压跌落的径向配电网优化重构","authors":"R. Tapia-Juarez, E. Espinosa-Juárez, Mario Graff","doi":"10.1109/ICEEE.2013.6676027","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of optimal reconfiguration of distribution networks to tackle the problem of voltage sags. The networks have a radial topology and our procedure finds a reconfiguration where the expected occurrence of voltage sags is reduced. The paper describes the developed methodology, which is based on genetic algorithms; 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 two IEEE test networks, demonstrating the effectiveness of the implemented methodology.","PeriodicalId":226547,"journal":{"name":"2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Optimal reconfiguration of radial distribution networks for reducing voltage sags\",\"authors\":\"R. Tapia-Juarez, E. Espinosa-Juárez, Mario Graff\",\"doi\":\"10.1109/ICEEE.2013.6676027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the problem of optimal reconfiguration of distribution networks to tackle the problem of voltage sags. The networks have a radial topology and our procedure finds a reconfiguration where the expected occurrence of voltage sags is reduced. The paper describes the developed methodology, which is based on genetic algorithms; 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 two IEEE test networks, demonstrating the effectiveness of the implemented methodology.\",\"PeriodicalId\":226547,\"journal\":{\"name\":\"2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEE.2013.6676027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE.2013.6676027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal reconfiguration of radial distribution networks for reducing voltage sags
This paper addresses the problem of optimal reconfiguration of distribution networks to tackle the problem of voltage sags. The networks have a radial topology and our procedure finds a reconfiguration where the expected occurrence of voltage sags is reduced. The paper describes the developed methodology, which is based on genetic algorithms; 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 two IEEE test networks, demonstrating the effectiveness of the implemented methodology.