{"title":"基于细菌觅食算法的电力系统pmu优化配置","authors":"K. Mazlumi, H. Vahedi","doi":"10.1109/IRANIANCEE.2010.5506953","DOIUrl":null,"url":null,"abstract":"This paper aims to optimize the PMU (Phasor Measurement Unit) placement for a full observation of the power network and the minimum number of PMU. Bacterial foraging algorithm (BFA) that is irresistible in high-dimensional function optimization is presented in this paper. The effectiveness and superiority of the proposed algorithm is demonstrated with PMU placement optimization simulation and a redundancy measurement analysis by using IEEE14-bus system and Tehran 41-bus system.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Optimal placement of PMUs in power systems based on bacterial foraging algorithm\",\"authors\":\"K. Mazlumi, H. Vahedi\",\"doi\":\"10.1109/IRANIANCEE.2010.5506953\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims to optimize the PMU (Phasor Measurement Unit) placement for a full observation of the power network and the minimum number of PMU. Bacterial foraging algorithm (BFA) that is irresistible in high-dimensional function optimization is presented in this paper. The effectiveness and superiority of the proposed algorithm is demonstrated with PMU placement optimization simulation and a redundancy measurement analysis by using IEEE14-bus system and Tehran 41-bus system.\",\"PeriodicalId\":282587,\"journal\":{\"name\":\"2010 18th Iranian Conference on Electrical Engineering\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 18th Iranian Conference on Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRANIANCEE.2010.5506953\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 18th Iranian Conference on Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRANIANCEE.2010.5506953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal placement of PMUs in power systems based on bacterial foraging algorithm
This paper aims to optimize the PMU (Phasor Measurement Unit) placement for a full observation of the power network and the minimum number of PMU. Bacterial foraging algorithm (BFA) that is irresistible in high-dimensional function optimization is presented in this paper. The effectiveness and superiority of the proposed algorithm is demonstrated with PMU placement optimization simulation and a redundancy measurement analysis by using IEEE14-bus system and Tehran 41-bus system.
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