{"title":"基于简化个人最优定向粒子群优化算法的经济调度","authors":"C. Chen","doi":"10.1109/DRPT.2008.4523471","DOIUrl":null,"url":null,"abstract":"In this paper, the simplified personal best oriented particle swarm optimizer (SPPSO) is employed to solving economic power dispatch problem considering transmission losses. SPPSO is a simplified version of personal best oriented particle swarm optimizer (PPSO), stemming from particle swarm optimization (PSO). Although one term is eliminated from the velocity updating rule, the performance of SPPSO is not affected significantly, especially for small scale problems. Nevertheless, it gains the advantage of computation efficiency. The usefulness and capability of the proposed algorithm is verified via testing on three power systems having different numbers of committed generators. The optimal solutions obtained by the proposed method are compared with those obtained by other methods posted in literature. The results show that the proposed method indeed capable of obtaining high quality solutions quickly.","PeriodicalId":240420,"journal":{"name":"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Economic dispatch using simplified personal best oriented particle swarm optimizer\",\"authors\":\"C. Chen\",\"doi\":\"10.1109/DRPT.2008.4523471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the simplified personal best oriented particle swarm optimizer (SPPSO) is employed to solving economic power dispatch problem considering transmission losses. SPPSO is a simplified version of personal best oriented particle swarm optimizer (PPSO), stemming from particle swarm optimization (PSO). Although one term is eliminated from the velocity updating rule, the performance of SPPSO is not affected significantly, especially for small scale problems. Nevertheless, it gains the advantage of computation efficiency. The usefulness and capability of the proposed algorithm is verified via testing on three power systems having different numbers of committed generators. The optimal solutions obtained by the proposed method are compared with those obtained by other methods posted in literature. The results show that the proposed method indeed capable of obtaining high quality solutions quickly.\",\"PeriodicalId\":240420,\"journal\":{\"name\":\"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DRPT.2008.4523471\",\"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 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DRPT.2008.4523471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Economic dispatch using simplified personal best oriented particle swarm optimizer
In this paper, the simplified personal best oriented particle swarm optimizer (SPPSO) is employed to solving economic power dispatch problem considering transmission losses. SPPSO is a simplified version of personal best oriented particle swarm optimizer (PPSO), stemming from particle swarm optimization (PSO). Although one term is eliminated from the velocity updating rule, the performance of SPPSO is not affected significantly, especially for small scale problems. Nevertheless, it gains the advantage of computation efficiency. The usefulness and capability of the proposed algorithm is verified via testing on three power systems having different numbers of committed generators. The optimal solutions obtained by the proposed method are compared with those obtained by other methods posted in literature. The results show that the proposed method indeed capable of obtaining high quality solutions quickly.