{"title":"基于大爆炸-大压缩算法的配电网DG优化配置","authors":"T. Sudhakar, A. Vinoliya","doi":"10.1109/ICONSTEM.2016.7560955","DOIUrl":null,"url":null,"abstract":"In recent years DG installations are gaining much importance due to growing environmental and economic issues. This paper focuses on optimal placement of DG generators in distribution networks to minimize the overall system losses. In the proposed work the identifying the DG locations can be found out using the Big Bang Big Crunch algorithm. Based on these identified locations the DG's are placed and load flow is run to identify the total losses of the network. The proposed method is applied to 33-Bus distribution network and the load flow used is forward sweeper method. The results obtained for the network using the proposed methodology are tabulated.","PeriodicalId":256750,"journal":{"name":"2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal DG placement in distribution network using big bang-big crunch algorithm\",\"authors\":\"T. Sudhakar, A. Vinoliya\",\"doi\":\"10.1109/ICONSTEM.2016.7560955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years DG installations are gaining much importance due to growing environmental and economic issues. This paper focuses on optimal placement of DG generators in distribution networks to minimize the overall system losses. In the proposed work the identifying the DG locations can be found out using the Big Bang Big Crunch algorithm. Based on these identified locations the DG's are placed and load flow is run to identify the total losses of the network. The proposed method is applied to 33-Bus distribution network and the load flow used is forward sweeper method. The results obtained for the network using the proposed methodology are tabulated.\",\"PeriodicalId\":256750,\"journal\":{\"name\":\"2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICONSTEM.2016.7560955\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONSTEM.2016.7560955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal DG placement in distribution network using big bang-big crunch algorithm
In recent years DG installations are gaining much importance due to growing environmental and economic issues. This paper focuses on optimal placement of DG generators in distribution networks to minimize the overall system losses. In the proposed work the identifying the DG locations can be found out using the Big Bang Big Crunch algorithm. Based on these identified locations the DG's are placed and load flow is run to identify the total losses of the network. The proposed method is applied to 33-Bus distribution network and the load flow used is forward sweeper method. The results obtained for the network using the proposed methodology are tabulated.