{"title":"Distributed generation planning using genetic algorithms","authors":"A. Silvestri, A. Berizzi, S. Buonanno","doi":"10.1109/PTC.1999.826689","DOIUrl":null,"url":null,"abstract":"In this paper, a new technique, based on genetic algorithms, for the optimal sizing and siting of distributed generation resources in MV distribution networks is presented. Tests on two networks of 43 and 93 buses are also provided to show the efficiency of the proposed technique.","PeriodicalId":101688,"journal":{"name":"PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"148","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PTC.1999.826689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 148
Abstract
In this paper, a new technique, based on genetic algorithms, for the optimal sizing and siting of distributed generation resources in MV distribution networks is presented. Tests on two networks of 43 and 93 buses are also provided to show the efficiency of the proposed technique.
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
