{"title":"Fuzzy Observer for MPPT Control of Variable Wind Energy Conversion System Associed to AC-DC Converters","authors":"K. Bedoud, H. Merabet, T. Bahi, D. Drici","doi":"10.1109/sta50679.2020.9329352","DOIUrl":null,"url":null,"abstract":"This paper presents the description, modeling, and control of an electrical energy production system based on a wind power system operating at variable speed. Such energy production systems are inevitably called upon for randomly varying wind speeds. Morever, MPPT control using fuzzy logic observer (FLO) for rotational speed estimation without using wind speed data is adopted. To improve and verify this approach's effectiveness, a quantitative and qualitative analysis of the energy generation system with a power of 1.5 MW is investigated by numerical simulation using Matlab/Simulink software. Thus, simulation tests validate the technique and improve the dynamic behavior of the system.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/sta50679.2020.9329352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents the description, modeling, and control of an electrical energy production system based on a wind power system operating at variable speed. Such energy production systems are inevitably called upon for randomly varying wind speeds. Morever, MPPT control using fuzzy logic observer (FLO) for rotational speed estimation without using wind speed data is adopted. To improve and verify this approach's effectiveness, a quantitative and qualitative analysis of the energy generation system with a power of 1.5 MW is investigated by numerical simulation using Matlab/Simulink software. Thus, simulation tests validate the technique and improve the dynamic behavior of the system.
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