{"title":"考虑能源成本,以能量损失最小、经济效益最大化为目标对分布式发电机进行优化配置","authors":"Rekha C M, Madhuri Hombal, Shankarlingappa C B","doi":"10.1109/ITACT.2015.7492695","DOIUrl":null,"url":null,"abstract":"This paper considers optimal allocation of both dispatchable and renewable Distributed Generating units in the distribution network to maximize the benefits to the Local Distribution Company (LDC), related to the customers connected to the system. The suggested optimization technique programmed through MatLAB software, helps to identify the optimal buses on which to connect these DG units. The cost of energy losses are minimized by maximizing the savings and economic benefits by considering variable hourly cost of energy. The implementation of the optimization technique is illustrated by taking IEEE 39-bus system and IEEE69-bus system.","PeriodicalId":336783,"journal":{"name":"2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal allocation of distributed generators for minimizing the energy losses and maximizing the economic benefits considering cost of energy\",\"authors\":\"Rekha C M, Madhuri Hombal, Shankarlingappa C B\",\"doi\":\"10.1109/ITACT.2015.7492695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers optimal allocation of both dispatchable and renewable Distributed Generating units in the distribution network to maximize the benefits to the Local Distribution Company (LDC), related to the customers connected to the system. The suggested optimization technique programmed through MatLAB software, helps to identify the optimal buses on which to connect these DG units. The cost of energy losses are minimized by maximizing the savings and economic benefits by considering variable hourly cost of energy. The implementation of the optimization technique is illustrated by taking IEEE 39-bus system and IEEE69-bus system.\",\"PeriodicalId\":336783,\"journal\":{\"name\":\"2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITACT.2015.7492695\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITACT.2015.7492695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal allocation of distributed generators for minimizing the energy losses and maximizing the economic benefits considering cost of energy
This paper considers optimal allocation of both dispatchable and renewable Distributed Generating units in the distribution network to maximize the benefits to the Local Distribution Company (LDC), related to the customers connected to the system. The suggested optimization technique programmed through MatLAB software, helps to identify the optimal buses on which to connect these DG units. The cost of energy losses are minimized by maximizing the savings and economic benefits by considering variable hourly cost of energy. The implementation of the optimization technique is illustrated by taking IEEE 39-bus system and IEEE69-bus system.