5df9861e-5c1b-4880-82da-fe13b0167fc620210330085737199wseamdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS2224-266X1109-273410.37394/23201http://wseas.org/wseas/cms.action?id=2861316202131620212010.37394/23201.2021.20https://wseas.org/wseas/cms.action?id=23302SalmiHassanEEA&TI Laboratory Faculty of Sciences and Techniques, Hassan II Casablanca University, Mohammedia, MOROCCOBadriAbdelmajidEEA&TI Laboratory Faculty of Sciences and Techniques, Hassan II Casablanca University, Mohammedia, MOROCCOZegrariMouradStructural Engineering, Intelligent Systems and Electrical Energy. ENSAM Casablanca, MOROCCOSahelAichaEEA&TI Laboratory Faculty of Sciences and Techniques, Hassan II Casablanca University, Mohammedia, MOROCCOBagudadAbdenaceurEEA&TI Laboratory Faculty of Sciences and Techniques, Hassan II Casablanca University, Mohammedia, MOROCCOAn optimal backstepping controller is developed for doubly fed induction generator based wind turbine (DFIG). The objective is the control of active and reactive power exchanged between the generator and electrical grid in presence of uncertainty and reduce transient loads. The backstepping controller is coupled with an artificial bee colony aeroturbine algorithm in order to extract the maximum energy. Particle swarm optimization is used to select optimal value of backstepping’s parameters. The simulation is carried out on 2.4 MW DFIG based wind turbine system. The optimized performance of the proposed control technique under uncertainty parameters and transient load is established by simulation results330202133020213342https://www.wseas.org/multimedia/journals/circuits/2021/a085101-003(2021).pdf10.37394/23201.2021.20.4https://www.wseas.org/multimedia/journals/circuits/2021/a085101-003(2021).pdfWind in power 2017, Wind Europe.10.1109/tste.2017.2731661calculation steady-state operating conditions for DFIG-based wind turbine, Meng Wu, Le Xie, IEEE Transactions on sustainable Energy ( Volume: 9 , Issue: 1 , Jan. 2018 )Principles of doubly fed induction generators (DFIG), Renewable energy, 2011.10.1109/tie.2017.2733424“Maximum power point tracking and output power control on pressure coupling wind conversion system”, Hoang thinh do, Tri Dung Dang, Hoai Vu Anh Truong, Kyoung Kwan Ahn, IEEE Transactions on Industrial Electronics, Volume 65 issue 2 , Feb 2018.10.1016/j.ijepes.2018.03.012A. Bektache, B. 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