{"title":"基于粒子群优化的分布式发电机配电网重构方法","authors":"J. Olamaei, G. B. Gharehpetian, T. Niknam","doi":"10.1109/PSAMP.2007.4740922","DOIUrl":null,"url":null,"abstract":"Due to the deregulation and restructuring in many countries, it is expected that amount of small-scale generations connected to the distribution networks increase. So it is necessary that impact of these kinds of generators on distribution feeder reconfiguration would be investigated. This paper presents an approach for distribution reconfiguration considering distributed generators (DGs). The objective function is summation of electrical energy generated by DGs and substation buses (main bus). A particle swarm optimization (PSO) is used to solve the optimal operation problem. The approach is tested on a real distribution feeder.","PeriodicalId":114949,"journal":{"name":"2007 Power Systems Conference: Advanced Metering, Protection, Control, Communication, and Distributed Resources","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"An approach based on Particle Swarm Optimization for distribution feeder reconfiguration considering Distributed Generators\",\"authors\":\"J. Olamaei, G. B. Gharehpetian, T. Niknam\",\"doi\":\"10.1109/PSAMP.2007.4740922\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the deregulation and restructuring in many countries, it is expected that amount of small-scale generations connected to the distribution networks increase. So it is necessary that impact of these kinds of generators on distribution feeder reconfiguration would be investigated. This paper presents an approach for distribution reconfiguration considering distributed generators (DGs). The objective function is summation of electrical energy generated by DGs and substation buses (main bus). A particle swarm optimization (PSO) is used to solve the optimal operation problem. The approach is tested on a real distribution feeder.\",\"PeriodicalId\":114949,\"journal\":{\"name\":\"2007 Power Systems Conference: Advanced Metering, Protection, Control, Communication, and Distributed Resources\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Power Systems Conference: Advanced Metering, Protection, Control, Communication, and Distributed Resources\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PSAMP.2007.4740922\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Power Systems Conference: Advanced Metering, Protection, Control, Communication, and Distributed Resources","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PSAMP.2007.4740922","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An approach based on Particle Swarm Optimization for distribution feeder reconfiguration considering Distributed Generators
Due to the deregulation and restructuring in many countries, it is expected that amount of small-scale generations connected to the distribution networks increase. So it is necessary that impact of these kinds of generators on distribution feeder reconfiguration would be investigated. This paper presents an approach for distribution reconfiguration considering distributed generators (DGs). The objective function is summation of electrical energy generated by DGs and substation buses (main bus). A particle swarm optimization (PSO) is used to solve the optimal operation problem. The approach is tested on a real distribution feeder.