{"title":"A study of distribution network fault location including Distributed Generator based on improved genetic algorithm","authors":"Youjun Yue, Yunlei Zhao, Hui Zhao, Hongjun Wang","doi":"10.1109/ICSSEM.2012.6340819","DOIUrl":null,"url":null,"abstract":"In the distribution network fault section positioning, the standard genetic algorithm can be used effectively. But the network including Distributed Generator power supply has its own characteristics, and the genetic algorithm appear some defects. Therefore, aiming at accurate positioning of faults in the network including DGs, the genetic algorithm coding and fitness function are improved in the paper. Through simulation, the effectiveness of the proposed algorithm is verified.","PeriodicalId":115037,"journal":{"name":"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSEM.2012.6340819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In the distribution network fault section positioning, the standard genetic algorithm can be used effectively. But the network including Distributed Generator power supply has its own characteristics, and the genetic algorithm appear some defects. Therefore, aiming at accurate positioning of faults in the network including DGs, the genetic algorithm coding and fitness function are improved in the paper. Through simulation, the effectiveness of the proposed algorithm is verified.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
