{"title":"基于动态模糊遗传算法的配电网优化重构","authors":"A. Asrari, S. Lotfifard","doi":"10.1109/INNOTEK.2014.6877364","DOIUrl":null,"url":null,"abstract":"Optimal reconfiguration of power distribution systems is a complex combinatorial optimization problem with the purpose of identifying a radial network that optimizes given objectives. In this paper, a dynamic fuzzy-based genetic algorithm is presented to find an optimal configuration for the distribution networks that minimizes the total power loss of the network. The efficiency of the proposed algorithm is demonstrated by its application on a 33-bus distribution system. The simulation results demonstrate the superior performance of the proposed method compared to the classic genetic algorithm based methods.","PeriodicalId":217120,"journal":{"name":"2014 IEEE Innovations in Technology Conference","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal distribution network reconfiguration using dynamic fuzzy based genetic algorithm\",\"authors\":\"A. Asrari, S. Lotfifard\",\"doi\":\"10.1109/INNOTEK.2014.6877364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optimal reconfiguration of power distribution systems is a complex combinatorial optimization problem with the purpose of identifying a radial network that optimizes given objectives. In this paper, a dynamic fuzzy-based genetic algorithm is presented to find an optimal configuration for the distribution networks that minimizes the total power loss of the network. The efficiency of the proposed algorithm is demonstrated by its application on a 33-bus distribution system. The simulation results demonstrate the superior performance of the proposed method compared to the classic genetic algorithm based methods.\",\"PeriodicalId\":217120,\"journal\":{\"name\":\"2014 IEEE Innovations in Technology Conference\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Innovations in Technology Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INNOTEK.2014.6877364\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Innovations in Technology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INNOTEK.2014.6877364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal distribution network reconfiguration using dynamic fuzzy based genetic algorithm
Optimal reconfiguration of power distribution systems is a complex combinatorial optimization problem with the purpose of identifying a radial network that optimizes given objectives. In this paper, a dynamic fuzzy-based genetic algorithm is presented to find an optimal configuration for the distribution networks that minimizes the total power loss of the network. The efficiency of the proposed algorithm is demonstrated by its application on a 33-bus distribution system. The simulation results demonstrate the superior performance of the proposed method compared to the classic genetic algorithm based methods.
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