S. A. Taher, S. Akbari, R. Hematti, A. Abdolalipour
{"title":"用QFT方法设计电力系统UPFC控制器","authors":"S. A. Taher, S. Akbari, R. Hematti, A. Abdolalipour","doi":"10.1109/EURCON.2009.5167757","DOIUrl":null,"url":null,"abstract":"An industrial plant, such a power system, always contains parametric uncertainties. In the design of a controller the uncertainties must be considered. Otherwise, if the real plant differs from the assumed plant model, a controller designed based on classical controller design approaches may not ensure the stability of the overall system. In this paper a robust controller, based on the Quantitative Feedback Theory (QFT) approach is proposed for the design of UPFC controllers (power - flow and DC-voltage regulator). As an example, we have designed a case for the system to compare the proposed method with a conventional method (classical P-I controller). Validity of the proposed method has been confirmed by linear and nonlinear time domain simulation results.","PeriodicalId":256285,"journal":{"name":"IEEE EUROCON 2009","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"UPFC controller design using QFT method in electric power systems\",\"authors\":\"S. A. Taher, S. Akbari, R. Hematti, A. Abdolalipour\",\"doi\":\"10.1109/EURCON.2009.5167757\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An industrial plant, such a power system, always contains parametric uncertainties. In the design of a controller the uncertainties must be considered. Otherwise, if the real plant differs from the assumed plant model, a controller designed based on classical controller design approaches may not ensure the stability of the overall system. In this paper a robust controller, based on the Quantitative Feedback Theory (QFT) approach is proposed for the design of UPFC controllers (power - flow and DC-voltage regulator). As an example, we have designed a case for the system to compare the proposed method with a conventional method (classical P-I controller). Validity of the proposed method has been confirmed by linear and nonlinear time domain simulation results.\",\"PeriodicalId\":256285,\"journal\":{\"name\":\"IEEE EUROCON 2009\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE EUROCON 2009\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURCON.2009.5167757\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE EUROCON 2009","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURCON.2009.5167757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
UPFC controller design using QFT method in electric power systems
An industrial plant, such a power system, always contains parametric uncertainties. In the design of a controller the uncertainties must be considered. Otherwise, if the real plant differs from the assumed plant model, a controller designed based on classical controller design approaches may not ensure the stability of the overall system. In this paper a robust controller, based on the Quantitative Feedback Theory (QFT) approach is proposed for the design of UPFC controllers (power - flow and DC-voltage regulator). As an example, we have designed a case for the system to compare the proposed method with a conventional method (classical P-I controller). Validity of the proposed method has been confirmed by linear and nonlinear time domain simulation results.