{"title":"基于混合遗传算法的可靠性约束机组承诺优化求解","authors":"Sarjiya, A. Mulyawan, A. Sudiarso","doi":"10.1109/ICITEED.2014.7007946","DOIUrl":null,"url":null,"abstract":"This paper presents the completion of unit commitment (UC) problem using genetic algorithm based on priority list approach. In solving this UC problem, reliability constraint is also considered to increase the feasibility of the obtained solution. Reliability constraint used in this paper is loss of load probability index to evaluate the required spinning reserve. Meanwhile, the sub problem, economic load dispatch problem is solved by using lambda iteration. This method is tested on case study 26 unit system. Priority list which is used in this paper can make genetic algorithm to convergence better and faster. The results of the proposed hybrid method are compared with other methods referred in this paper.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Optimal solution of reliability constrained unit commitment using hybrid genetic algorithm-priority list method\",\"authors\":\"Sarjiya, A. Mulyawan, A. Sudiarso\",\"doi\":\"10.1109/ICITEED.2014.7007946\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the completion of unit commitment (UC) problem using genetic algorithm based on priority list approach. In solving this UC problem, reliability constraint is also considered to increase the feasibility of the obtained solution. Reliability constraint used in this paper is loss of load probability index to evaluate the required spinning reserve. Meanwhile, the sub problem, economic load dispatch problem is solved by using lambda iteration. This method is tested on case study 26 unit system. Priority list which is used in this paper can make genetic algorithm to convergence better and faster. The results of the proposed hybrid method are compared with other methods referred in this paper.\",\"PeriodicalId\":148115,\"journal\":{\"name\":\"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITEED.2014.7007946\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2014.7007946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal solution of reliability constrained unit commitment using hybrid genetic algorithm-priority list method
This paper presents the completion of unit commitment (UC) problem using genetic algorithm based on priority list approach. In solving this UC problem, reliability constraint is also considered to increase the feasibility of the obtained solution. Reliability constraint used in this paper is loss of load probability index to evaluate the required spinning reserve. Meanwhile, the sub problem, economic load dispatch problem is solved by using lambda iteration. This method is tested on case study 26 unit system. Priority list which is used in this paper can make genetic algorithm to convergence better and faster. The results of the proposed hybrid method are compared with other methods referred in this paper.