H. Ko, T. Niimura, J. Jatskevich, H. C. Kim, K. Y. Lee
{"title":"基于模糊lqr控制器的电池储能混合风力发电电能质量控制","authors":"H. Ko, T. Niimura, J. Jatskevich, H. C. Kim, K. Y. Lee","doi":"10.1109/PES.2004.1373171","DOIUrl":null,"url":null,"abstract":"This work presents a modeling and control design for a wind-hybrid power system with a battery storage. The proposed control scheme is based on the Takagi-Sugeno fuzzy model and the linear quadratic regulator. The Takagi-Sugeno fuzzy model expresses the local dynamics of a nonlinear system through subsystems partitioned by linguistic rules. The controllers for each subsystem are designed by the linear quadratic regulator. In the simulation study, the proposed controller is compared with the proportional-integral (PI) controller. The simulation results show that the proposed controller is more effective than the PI controller against disturbances caused by wind speed and load variation. Thus, better quality of the wind-hybrid power system is achieved.","PeriodicalId":236779,"journal":{"name":"IEEE Power Engineering Society General Meeting, 2004.","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Power quality control of hybrid wind power generation with battery storage using fuzzy-LQR controller\",\"authors\":\"H. Ko, T. Niimura, J. Jatskevich, H. C. Kim, K. Y. Lee\",\"doi\":\"10.1109/PES.2004.1373171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a modeling and control design for a wind-hybrid power system with a battery storage. The proposed control scheme is based on the Takagi-Sugeno fuzzy model and the linear quadratic regulator. The Takagi-Sugeno fuzzy model expresses the local dynamics of a nonlinear system through subsystems partitioned by linguistic rules. The controllers for each subsystem are designed by the linear quadratic regulator. In the simulation study, the proposed controller is compared with the proportional-integral (PI) controller. The simulation results show that the proposed controller is more effective than the PI controller against disturbances caused by wind speed and load variation. Thus, better quality of the wind-hybrid power system is achieved.\",\"PeriodicalId\":236779,\"journal\":{\"name\":\"IEEE Power Engineering Society General Meeting, 2004.\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Power Engineering Society General Meeting, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PES.2004.1373171\",\"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 Power Engineering Society General Meeting, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2004.1373171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power quality control of hybrid wind power generation with battery storage using fuzzy-LQR controller
This work presents a modeling and control design for a wind-hybrid power system with a battery storage. The proposed control scheme is based on the Takagi-Sugeno fuzzy model and the linear quadratic regulator. The Takagi-Sugeno fuzzy model expresses the local dynamics of a nonlinear system through subsystems partitioned by linguistic rules. The controllers for each subsystem are designed by the linear quadratic regulator. In the simulation study, the proposed controller is compared with the proportional-integral (PI) controller. The simulation results show that the proposed controller is more effective than the PI controller against disturbances caused by wind speed and load variation. Thus, better quality of the wind-hybrid power system is achieved.