{"title":"定向细菌觅食优化在电压崩溃检测中的应用","authors":"S. Talwar, M. Gray, W. Morsi","doi":"10.1109/EPEC.2015.7379984","DOIUrl":null,"url":null,"abstract":"This paper presents a hybrid optimization methodology based on directing the foraging of E-Coli bacteria to address the problem of voltage collapse (VC) in electric power systems (EPS). The proposed methodology, named Directed Bacterial Foraging Optimization (DBFO) is described, the results are presented and conclusions are drawn.","PeriodicalId":231255,"journal":{"name":"2015 IEEE Electrical Power and Energy Conference (EPEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Directed Bacterial Foraging Optimization for voltage collapse detection\",\"authors\":\"S. Talwar, M. Gray, W. Morsi\",\"doi\":\"10.1109/EPEC.2015.7379984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a hybrid optimization methodology based on directing the foraging of E-Coli bacteria to address the problem of voltage collapse (VC) in electric power systems (EPS). The proposed methodology, named Directed Bacterial Foraging Optimization (DBFO) is described, the results are presented and conclusions are drawn.\",\"PeriodicalId\":231255,\"journal\":{\"name\":\"2015 IEEE Electrical Power and Energy Conference (EPEC)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Electrical Power and Energy Conference (EPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPEC.2015.7379984\",\"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 IEEE Electrical Power and Energy Conference (EPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEC.2015.7379984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Directed Bacterial Foraging Optimization for voltage collapse detection
This paper presents a hybrid optimization methodology based on directing the foraging of E-Coli bacteria to address the problem of voltage collapse (VC) in electric power systems (EPS). The proposed methodology, named Directed Bacterial Foraging Optimization (DBFO) is described, the results are presented and conclusions are drawn.