{"title":"基于模糊逻辑的DG最优选址决策方法","authors":"Florina Scarlatache, G. Grigoraș, B. Neagu","doi":"10.1109/ECAI.2016.7861181","DOIUrl":null,"url":null,"abstract":"This paper presents a decision making methodology based on fuzzy logic for an optimal location of distributed generation (DG) sources into an electrical distribution system to reduce the losses and improve the voltage profile. The methodology has two stages: at first is determined the preferential zone where can be located the DG based on the operational characteristics (modelled in paper as fuzzy variables) and the second stage determines the optimal location for DG using Hurwitz criterion. The methodology is verified on a 20 kV real rural distribution network.","PeriodicalId":122809,"journal":{"name":"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Decision making methodology based on fuzzy logic in optimal DG location\",\"authors\":\"Florina Scarlatache, G. Grigoraș, B. Neagu\",\"doi\":\"10.1109/ECAI.2016.7861181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a decision making methodology based on fuzzy logic for an optimal location of distributed generation (DG) sources into an electrical distribution system to reduce the losses and improve the voltage profile. The methodology has two stages: at first is determined the preferential zone where can be located the DG based on the operational characteristics (modelled in paper as fuzzy variables) and the second stage determines the optimal location for DG using Hurwitz criterion. The methodology is verified on a 20 kV real rural distribution network.\",\"PeriodicalId\":122809,\"journal\":{\"name\":\"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECAI.2016.7861181\",\"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 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECAI.2016.7861181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decision making methodology based on fuzzy logic in optimal DG location
This paper presents a decision making methodology based on fuzzy logic for an optimal location of distributed generation (DG) sources into an electrical distribution system to reduce the losses and improve the voltage profile. The methodology has two stages: at first is determined the preferential zone where can be located the DG based on the operational characteristics (modelled in paper as fuzzy variables) and the second stage determines the optimal location for DG using Hurwitz criterion. The methodology is verified on a 20 kV real rural distribution network.