Y. Belkacem, S. Drid, A. Makouf, L. Chrifi-Alaoui, Mohammed Ouriagli
{"title":"基于风力机的双馈感应发电机在变速工况下的高性能模糊控制","authors":"Y. Belkacem, S. Drid, A. Makouf, L. Chrifi-Alaoui, Mohammed Ouriagli","doi":"10.1109/ISACS48493.2019.9068875","DOIUrl":null,"url":null,"abstract":"This paper presents a nonlinear control of the doubly fed induction generator based on wind energy in variable speed. The turbine is equipped by two doubly fed induction generators (DFIG). The first one is controlled in order to keep the voltage and the frequency in the rates values. Then a Fuzzy Logic Controller (FLC) is used for power vector control regulation of the DFIG. The second one is connected when the power demand increase. But before the connection with the first generator, synchronization is done by a fuzzy regulator. Simulation results show the efficiency of our strategy.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Fuzzy Controllers for a high performance of the Doubly Fed Induction Generator based on Wind Turbine in variable speed\",\"authors\":\"Y. Belkacem, S. Drid, A. Makouf, L. Chrifi-Alaoui, Mohammed Ouriagli\",\"doi\":\"10.1109/ISACS48493.2019.9068875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a nonlinear control of the doubly fed induction generator based on wind energy in variable speed. The turbine is equipped by two doubly fed induction generators (DFIG). The first one is controlled in order to keep the voltage and the frequency in the rates values. Then a Fuzzy Logic Controller (FLC) is used for power vector control regulation of the DFIG. The second one is connected when the power demand increase. But before the connection with the first generator, synchronization is done by a fuzzy regulator. Simulation results show the efficiency of our strategy.\",\"PeriodicalId\":312521,\"journal\":{\"name\":\"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISACS48493.2019.9068875\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISACS48493.2019.9068875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Controllers for a high performance of the Doubly Fed Induction Generator based on Wind Turbine in variable speed
This paper presents a nonlinear control of the doubly fed induction generator based on wind energy in variable speed. The turbine is equipped by two doubly fed induction generators (DFIG). The first one is controlled in order to keep the voltage and the frequency in the rates values. Then a Fuzzy Logic Controller (FLC) is used for power vector control regulation of the DFIG. The second one is connected when the power demand increase. But before the connection with the first generator, synchronization is done by a fuzzy regulator. Simulation results show the efficiency of our strategy.