{"title":"基于双模糊控制器的变速DFIG风力发电机组功率控制","authors":"Satyabrata Sahoo, P. S. Puhan, G. Panda","doi":"10.1109/ICICCSP53532.2022.9862460","DOIUrl":null,"url":null,"abstract":"Speed of wind is stochastic in nature due to evolution of earth and un-even distribution of sun ray on the surface of earth. So also wind power from wind turbine, because wind power is cubically proportional to the wind speed. This paper focuses on the design and implementation of two fuzzy logic controllers for a variable speed doubly fed induction generator (DFIG) based wind turbine with above rated wind speed. The objective is to control the turbine output power by controlling generator torque and pitch angle simultaneously. To achieve this objective, a MATLAB-SIMULINK setup is designed and from the results it is found that the two fuzzy controllers gives the excellent performance.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power control of a variable speed DFIG based wind turbine using two fuzzy logic controllers\",\"authors\":\"Satyabrata Sahoo, P. S. Puhan, G. Panda\",\"doi\":\"10.1109/ICICCSP53532.2022.9862460\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Speed of wind is stochastic in nature due to evolution of earth and un-even distribution of sun ray on the surface of earth. So also wind power from wind turbine, because wind power is cubically proportional to the wind speed. This paper focuses on the design and implementation of two fuzzy logic controllers for a variable speed doubly fed induction generator (DFIG) based wind turbine with above rated wind speed. The objective is to control the turbine output power by controlling generator torque and pitch angle simultaneously. To achieve this objective, a MATLAB-SIMULINK setup is designed and from the results it is found that the two fuzzy controllers gives the excellent performance.\",\"PeriodicalId\":326163,\"journal\":{\"name\":\"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICCSP53532.2022.9862460\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICCSP53532.2022.9862460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power control of a variable speed DFIG based wind turbine using two fuzzy logic controllers
Speed of wind is stochastic in nature due to evolution of earth and un-even distribution of sun ray on the surface of earth. So also wind power from wind turbine, because wind power is cubically proportional to the wind speed. This paper focuses on the design and implementation of two fuzzy logic controllers for a variable speed doubly fed induction generator (DFIG) based wind turbine with above rated wind speed. The objective is to control the turbine output power by controlling generator torque and pitch angle simultaneously. To achieve this objective, a MATLAB-SIMULINK setup is designed and from the results it is found that the two fuzzy controllers gives the excellent performance.