{"title":"基于改进遗传算法的配电网开关配置优化","authors":"Lixing Ma, Xinhui Lv, Shouzheng Wang, H. Miyajima","doi":"10.1109/CINC.2010.5643849","DOIUrl":null,"url":null,"abstract":"This paper presents an optimization methodology for placement of switches in medium-voltage loop distribution networks. The primary objective is to minimize the total cost with consideration of achieving high distribution reliability levels. In this paper, four possible states are con-sidered and discussed, and the improved genetic algorithm is adopted to determine the optimal number and locations of sectionalizing switches and interconnection switches. The feasibility and superiority of the proposed algorithm is demonstrated by application to main feeder F1 and F2 among RBTS-BUS 5 system.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Optimal switch placement in distribution networks under different conditions using improved GA\",\"authors\":\"Lixing Ma, Xinhui Lv, Shouzheng Wang, H. Miyajima\",\"doi\":\"10.1109/CINC.2010.5643849\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an optimization methodology for placement of switches in medium-voltage loop distribution networks. The primary objective is to minimize the total cost with consideration of achieving high distribution reliability levels. In this paper, four possible states are con-sidered and discussed, and the improved genetic algorithm is adopted to determine the optimal number and locations of sectionalizing switches and interconnection switches. The feasibility and superiority of the proposed algorithm is demonstrated by application to main feeder F1 and F2 among RBTS-BUS 5 system.\",\"PeriodicalId\":227004,\"journal\":{\"name\":\"2010 Second International Conference on Computational Intelligence and Natural Computing\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computational Intelligence and Natural Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINC.2010.5643849\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computational Intelligence and Natural Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINC.2010.5643849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal switch placement in distribution networks under different conditions using improved GA
This paper presents an optimization methodology for placement of switches in medium-voltage loop distribution networks. The primary objective is to minimize the total cost with consideration of achieving high distribution reliability levels. In this paper, four possible states are con-sidered and discussed, and the improved genetic algorithm is adopted to determine the optimal number and locations of sectionalizing switches and interconnection switches. The feasibility and superiority of the proposed algorithm is demonstrated by application to main feeder F1 and F2 among RBTS-BUS 5 system.