{"title":"采用先进的粒子群优化技术对PMU停机和线路停机情况下相量测量单元的优化配置","authors":"V. B. Raju, T. TejaSwaroop, R. K. Rao","doi":"10.1109/WICT.2011.6141296","DOIUrl":null,"url":null,"abstract":"In this paper, a model for the optimal placement of contingency-constrained phasor measurement units (PMUs) in electric power networks is presented. The study of placement of PMU's for different contingency conditions in power networks including measurement losses and line outages are studied. The communication constraints which would limit the maximum number of measurements associated with each installed PMU is considered as measurement limitations. The IEEE standard test systems are examined for the applicability of proposed model. The comparison of presented results with those of other methods is presented which would justify the effectiveness of proposed model with regards to minimizing the total number of PMUs and the execution time. The proposed method uses Advanced Particle Swarm Optimization technique for optimal placement of PMU's. The simulation results are reported for two systems (IEEE-14 bus & IEEE-39 bus systems)","PeriodicalId":178645,"journal":{"name":"2011 World Congress on Information and Communication Technologies","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Optimal placement of phasor measurement units against PMU outage and Line outage Using advanced particle swarm optimization techniques\",\"authors\":\"V. B. Raju, T. TejaSwaroop, R. K. Rao\",\"doi\":\"10.1109/WICT.2011.6141296\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a model for the optimal placement of contingency-constrained phasor measurement units (PMUs) in electric power networks is presented. The study of placement of PMU's for different contingency conditions in power networks including measurement losses and line outages are studied. The communication constraints which would limit the maximum number of measurements associated with each installed PMU is considered as measurement limitations. The IEEE standard test systems are examined for the applicability of proposed model. The comparison of presented results with those of other methods is presented which would justify the effectiveness of proposed model with regards to minimizing the total number of PMUs and the execution time. The proposed method uses Advanced Particle Swarm Optimization technique for optimal placement of PMU's. The simulation results are reported for two systems (IEEE-14 bus & IEEE-39 bus systems)\",\"PeriodicalId\":178645,\"journal\":{\"name\":\"2011 World Congress on Information and Communication Technologies\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 World Congress on Information and Communication Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WICT.2011.6141296\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 World Congress on Information and Communication Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WICT.2011.6141296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal placement of phasor measurement units against PMU outage and Line outage Using advanced particle swarm optimization techniques
In this paper, a model for the optimal placement of contingency-constrained phasor measurement units (PMUs) in electric power networks is presented. The study of placement of PMU's for different contingency conditions in power networks including measurement losses and line outages are studied. The communication constraints which would limit the maximum number of measurements associated with each installed PMU is considered as measurement limitations. The IEEE standard test systems are examined for the applicability of proposed model. The comparison of presented results with those of other methods is presented which would justify the effectiveness of proposed model with regards to minimizing the total number of PMUs and the execution time. The proposed method uses Advanced Particle Swarm Optimization technique for optimal placement of PMU's. The simulation results are reported for two systems (IEEE-14 bus & IEEE-39 bus systems)