H. Kargar, S. Jalilzadeh, A. Rezazadeh, V. Nabi, G. Govar
{"title":"利用BGA对解除管制配电网进行重构以实现能源供应成本最小化","authors":"H. Kargar, S. Jalilzadeh, A. Rezazadeh, V. Nabi, G. Govar","doi":"10.1109/UPEC.2008.4651545","DOIUrl":null,"url":null,"abstract":"One of the main concerns of market entities is minimizing the energy supply cost. In this paper, an objective function for reducing the energy supply cost by DisCo will be proposed. The optimization method is based on binary genetic algorithm (BGA) for the reconfiguration of deregulated distribution networks. In addition, a case study will be analyzed and the obtained results will show that the total energy supply cost will effectively reduce.","PeriodicalId":287461,"journal":{"name":"2008 43rd International Universities Power Engineering Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Reconfiguration of deregulated distribution network for minimizing energy supply cost by using BGA\",\"authors\":\"H. Kargar, S. Jalilzadeh, A. Rezazadeh, V. Nabi, G. Govar\",\"doi\":\"10.1109/UPEC.2008.4651545\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the main concerns of market entities is minimizing the energy supply cost. In this paper, an objective function for reducing the energy supply cost by DisCo will be proposed. The optimization method is based on binary genetic algorithm (BGA) for the reconfiguration of deregulated distribution networks. In addition, a case study will be analyzed and the obtained results will show that the total energy supply cost will effectively reduce.\",\"PeriodicalId\":287461,\"journal\":{\"name\":\"2008 43rd International Universities Power Engineering Conference\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 43rd International Universities Power Engineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UPEC.2008.4651545\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 43rd International Universities Power Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPEC.2008.4651545","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reconfiguration of deregulated distribution network for minimizing energy supply cost by using BGA
One of the main concerns of market entities is minimizing the energy supply cost. In this paper, an objective function for reducing the energy supply cost by DisCo will be proposed. The optimization method is based on binary genetic algorithm (BGA) for the reconfiguration of deregulated distribution networks. In addition, a case study will be analyzed and the obtained results will show that the total energy supply cost will effectively reduce.