{"title":"使用遗传算法的分布式发电规划","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":"{\"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}","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}
Distributed generation planning using genetic algorithms
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.
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