{"title":"电压暂降补偿的最优动态电压恢复控制器","authors":"Faranak Farhadi, Sajjad Solat, S. H. Mahdioun","doi":"10.1109/IRANIANCEE.2015.7146493","DOIUrl":null,"url":null,"abstract":"This paper proposes an optimal fuzzy logic controller for dynamic voltage restorer (DVR). The DVR is modeled by three phase voltage source inverter (VSI). Simulation is based on zero-order Sugeno fuzzy logic controller and particle swarm optimization (PSO) technique is used to optimally adjust its parameters. The proposed controlling approach is employed to compensate different level of voltage sag. The simulation results show the satisfactory performance of proposed controlling approach.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimal dynamic voltage restorer controller for voltage sag compensation\",\"authors\":\"Faranak Farhadi, Sajjad Solat, S. H. Mahdioun\",\"doi\":\"10.1109/IRANIANCEE.2015.7146493\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an optimal fuzzy logic controller for dynamic voltage restorer (DVR). The DVR is modeled by three phase voltage source inverter (VSI). Simulation is based on zero-order Sugeno fuzzy logic controller and particle swarm optimization (PSO) technique is used to optimally adjust its parameters. The proposed controlling approach is employed to compensate different level of voltage sag. The simulation results show the satisfactory performance of proposed controlling approach.\",\"PeriodicalId\":187121,\"journal\":{\"name\":\"2015 23rd Iranian Conference on Electrical Engineering\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 23rd Iranian Conference on Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRANIANCEE.2015.7146493\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd Iranian Conference on Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRANIANCEE.2015.7146493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal dynamic voltage restorer controller for voltage sag compensation
This paper proposes an optimal fuzzy logic controller for dynamic voltage restorer (DVR). The DVR is modeled by three phase voltage source inverter (VSI). Simulation is based on zero-order Sugeno fuzzy logic controller and particle swarm optimization (PSO) technique is used to optimally adjust its parameters. The proposed controlling approach is employed to compensate different level of voltage sag. The simulation results show the satisfactory performance of proposed controlling approach.
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