K. Sundareswaran, P. S. Nayak, Ch Durga Venkatesh, H. B
{"title":"基于概率粒子群优化的FACTS器件的最优放置","authors":"K. Sundareswaran, P. S. Nayak, Ch Durga Venkatesh, H. B","doi":"10.1109/ISET-INDIA.2011.6145355","DOIUrl":null,"url":null,"abstract":"The identification of optimal locations for 3 Static VAr Compensators (SVCs) in an IEEE 30 bus system is considered in this paper. The problem is drafted as an optimization task and the solution is achieved through a novel optimization method termed as probabilistic Particle Swarm Optimization (PPSO). The proposed algorithm is a suitable modification of the standard Particle Swarm Optimization (PSO) technique by incorporating probabilistic particle movement with discrete positions. The performance of the new algorithm is illustrated through extensive computer simulations.","PeriodicalId":265646,"journal":{"name":"ISGT2011-India","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Optimal placement of FACTS devices using probabilistic Particle Swarm Optimization\",\"authors\":\"K. Sundareswaran, P. S. Nayak, Ch Durga Venkatesh, H. B\",\"doi\":\"10.1109/ISET-INDIA.2011.6145355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The identification of optimal locations for 3 Static VAr Compensators (SVCs) in an IEEE 30 bus system is considered in this paper. The problem is drafted as an optimization task and the solution is achieved through a novel optimization method termed as probabilistic Particle Swarm Optimization (PPSO). The proposed algorithm is a suitable modification of the standard Particle Swarm Optimization (PSO) technique by incorporating probabilistic particle movement with discrete positions. The performance of the new algorithm is illustrated through extensive computer simulations.\",\"PeriodicalId\":265646,\"journal\":{\"name\":\"ISGT2011-India\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISGT2011-India\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISET-INDIA.2011.6145355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISGT2011-India","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISET-INDIA.2011.6145355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal placement of FACTS devices using probabilistic Particle Swarm Optimization
The identification of optimal locations for 3 Static VAr Compensators (SVCs) in an IEEE 30 bus system is considered in this paper. The problem is drafted as an optimization task and the solution is achieved through a novel optimization method termed as probabilistic Particle Swarm Optimization (PPSO). The proposed algorithm is a suitable modification of the standard Particle Swarm Optimization (PSO) technique by incorporating probabilistic particle movement with discrete positions. The performance of the new algorithm is illustrated through extensive computer simulations.