A. Dahbi, R. Maouedj, B. Berbaoui, A. Reama, Mehdi Adel
{"title":"Analysis and Control of the Wind Turbine in Different Operation Modes","authors":"A. Dahbi, R. Maouedj, B. Berbaoui, A. Reama, Mehdi Adel","doi":"10.1109/IRSEC.2018.8702977","DOIUrl":null,"url":null,"abstract":"This paper studies the modeling and the controls applied on a real wind turbine (V52) in different operation modes. According to the available wind power and the nominal power, the wind turbine produced power is optimized in a wide range wind speed thanks to the applied controls in all operation regions. When the power is lower than its nominal value, the maximum power point tracking (MPPT) strategies is applied. However, in high rotation speed and high power relatively, the rotation speed and the produced power are limited to their nominal values, all these is ensured by an intelligent neural network controller. The simulation results proved the validity of the model and the control strategies applied. They show that the proposed controls are efficient solutions to protect the Wind Energy Conversion System (WECS) and ensure the electric energy production in high wind speed relatively.","PeriodicalId":186042,"journal":{"name":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 6th International Renewable and Sustainable Energy Conference (IRSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRSEC.2018.8702977","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 studies the modeling and the controls applied on a real wind turbine (V52) in different operation modes. According to the available wind power and the nominal power, the wind turbine produced power is optimized in a wide range wind speed thanks to the applied controls in all operation regions. When the power is lower than its nominal value, the maximum power point tracking (MPPT) strategies is applied. However, in high rotation speed and high power relatively, the rotation speed and the produced power are limited to their nominal values, all these is ensured by an intelligent neural network controller. The simulation results proved the validity of the model and the control strategies applied. They show that the proposed controls are efficient solutions to protect the Wind Energy Conversion System (WECS) and ensure the electric energy production in high wind speed relatively.