B. Vahidi, Saeed Jazebi, H. Baghaee, Mohammad Tahan, M. Asadi
{"title":"基于pso的UPFC提高电力系统稳定性","authors":"B. Vahidi, Saeed Jazebi, H. Baghaee, Mohammad Tahan, M. Asadi","doi":"10.1109/ICPST.2008.4745278","DOIUrl":null,"url":null,"abstract":"A robust control strategy is proposed to control UPFC in different operating conditions. PI regulators used for UPFC suffer from the inadequacies of providing suitable control for transient stability enhancement over a wide range of system operating conditions. In this paper an optimization method based on particle-swarm optimization (PSO) algorithm is presented to optimize the parameters of the PI controller of UPFC in order to enhance the power system transient stability. This scheme dispenses the gain dependency of the proportional or integral gains and generates independent control actions. The effectiveness of the proposed method is demonstrated using simulations of a multi-machine power system.","PeriodicalId":107016,"journal":{"name":"2008 Joint International Conference on Power System Technology and IEEE Power India Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Power System Stabilization Improvement by Using PSO-based UPFC\",\"authors\":\"B. Vahidi, Saeed Jazebi, H. Baghaee, Mohammad Tahan, M. Asadi\",\"doi\":\"10.1109/ICPST.2008.4745278\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A robust control strategy is proposed to control UPFC in different operating conditions. PI regulators used for UPFC suffer from the inadequacies of providing suitable control for transient stability enhancement over a wide range of system operating conditions. In this paper an optimization method based on particle-swarm optimization (PSO) algorithm is presented to optimize the parameters of the PI controller of UPFC in order to enhance the power system transient stability. This scheme dispenses the gain dependency of the proportional or integral gains and generates independent control actions. The effectiveness of the proposed method is demonstrated using simulations of a multi-machine power system.\",\"PeriodicalId\":107016,\"journal\":{\"name\":\"2008 Joint International Conference on Power System Technology and IEEE Power India Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Joint International Conference on Power System Technology and IEEE Power India Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPST.2008.4745278\",\"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 Joint International Conference on Power System Technology and IEEE Power India Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPST.2008.4745278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power System Stabilization Improvement by Using PSO-based UPFC
A robust control strategy is proposed to control UPFC in different operating conditions. PI regulators used for UPFC suffer from the inadequacies of providing suitable control for transient stability enhancement over a wide range of system operating conditions. In this paper an optimization method based on particle-swarm optimization (PSO) algorithm is presented to optimize the parameters of the PI controller of UPFC in order to enhance the power system transient stability. This scheme dispenses the gain dependency of the proportional or integral gains and generates independent control actions. The effectiveness of the proposed method is demonstrated using simulations of a multi-machine power system.