{"title":"基于模糊逻辑的小功率风力发电机组MPPT评价","authors":"Carlos-Andrés Cholo, J. Ruiz, J. Guacaneme","doi":"10.1109/PEPQA.2017.7981681","DOIUrl":null,"url":null,"abstract":"The following article shows the implementation of MPPT's using fuzzy logic and a conventional algorithm known as P&O, both are applied to a low power wind turbine and the performance of each one is compared. Firstly, a model of the wind speed must be made, as it directly affects the system, therefore the extraction of the maximum power. Secondly, a model of the wind turbine, which is divided into static model and aerodynamic model, with which the angular speed of system modifies the output obtained, thus allowing the equipment to function at optimum point. Finally, an integration of each model is performed, in order to test the algorithms and prove the correct operation of each controller.","PeriodicalId":256426,"journal":{"name":"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evaluation of MPPT methods using fuzzy logic applied to a low power wind turbine\",\"authors\":\"Carlos-Andrés Cholo, J. Ruiz, J. Guacaneme\",\"doi\":\"10.1109/PEPQA.2017.7981681\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The following article shows the implementation of MPPT's using fuzzy logic and a conventional algorithm known as P&O, both are applied to a low power wind turbine and the performance of each one is compared. Firstly, a model of the wind speed must be made, as it directly affects the system, therefore the extraction of the maximum power. Secondly, a model of the wind turbine, which is divided into static model and aerodynamic model, with which the angular speed of system modifies the output obtained, thus allowing the equipment to function at optimum point. Finally, an integration of each model is performed, in order to test the algorithms and prove the correct operation of each controller.\",\"PeriodicalId\":256426,\"journal\":{\"name\":\"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PEPQA.2017.7981681\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEPQA.2017.7981681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of MPPT methods using fuzzy logic applied to a low power wind turbine
The following article shows the implementation of MPPT's using fuzzy logic and a conventional algorithm known as P&O, both are applied to a low power wind turbine and the performance of each one is compared. Firstly, a model of the wind speed must be made, as it directly affects the system, therefore the extraction of the maximum power. Secondly, a model of the wind turbine, which is divided into static model and aerodynamic model, with which the angular speed of system modifies the output obtained, thus allowing the equipment to function at optimum point. Finally, an integration of each model is performed, in order to test the algorithms and prove the correct operation of each controller.