{"title":"输电与电压约束机组承诺的二元差分进化算法","authors":"S. Patra, Swapan Kumar Goswami, B. Goswami","doi":"10.1109/ICPST.2008.4745304","DOIUrl":null,"url":null,"abstract":"The paper proposes a binary version of the differential evolution algorithm and then solves the transmission and voltage constrained unit commitment using it. The proposed algorithm uses binary coding of the selection variables and implementing OR/XOR/NOT type Boolean logics on variable strings. The inclusion of the ramp rate, transmission/voltage constraints ensure the feasibility of the schedule. The solution algorithm has been found to be capable of finding the optimum/near optimum solution.","PeriodicalId":107016,"journal":{"name":"2008 Joint International Conference on Power System Technology and IEEE Power India Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"A Binary Differential Evolution Algorithm For Transmission And Voltage Constrained Unit Commitment\",\"authors\":\"S. Patra, Swapan Kumar Goswami, B. Goswami\",\"doi\":\"10.1109/ICPST.2008.4745304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper proposes a binary version of the differential evolution algorithm and then solves the transmission and voltage constrained unit commitment using it. The proposed algorithm uses binary coding of the selection variables and implementing OR/XOR/NOT type Boolean logics on variable strings. The inclusion of the ramp rate, transmission/voltage constraints ensure the feasibility of the schedule. The solution algorithm has been found to be capable of finding the optimum/near optimum solution.\",\"PeriodicalId\":107016,\"journal\":{\"name\":\"2008 Joint International Conference on Power System Technology and IEEE Power India Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Joint International Conference on Power System Technology and IEEE Power India Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPST.2008.4745304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Joint International Conference on Power System Technology and IEEE Power India Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPST.2008.4745304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Binary Differential Evolution Algorithm For Transmission And Voltage Constrained Unit Commitment
The paper proposes a binary version of the differential evolution algorithm and then solves the transmission and voltage constrained unit commitment using it. The proposed algorithm uses binary coding of the selection variables and implementing OR/XOR/NOT type Boolean logics on variable strings. The inclusion of the ramp rate, transmission/voltage constraints ensure the feasibility of the schedule. The solution algorithm has been found to be capable of finding the optimum/near optimum solution.