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Nonlinear Enhanced Control for Wind Energy Generation System-Based Permanent Magnet Synchronous Generator

Author

Listed:
  • Youssef Errami

    (Laboratory of Electronics, Instrumentation and Energy, Faculty of Science, University Chouaib Doukkali-Eljadida, El Jadida 24000, Morocco)

  • Abdellatif Obbadi

    (Laboratory of Electronics, Instrumentation and Energy, Faculty of Science, University Chouaib Doukkali-Eljadida, El Jadida 24000, Morocco)

  • Smail Sahnoun

    (Laboratory of Electronics, Instrumentation and Energy, Faculty of Science, University Chouaib Doukkali-Eljadida, El Jadida 24000, Morocco)

  • Mohssin Aoutoul

    (Laboratory of STIC, Faculty of Science, University Chouaib Doukkali-Eljadida, El Jadida 24000, Morocco)

Abstract

This paper proposes a Nonlinear Backstepping Approach (NBA) to improve the control performance of a Permanent Magnet Synchronous Generator (PMSG)-based Wind Energy Generation System (WEGS) under parameter uncertainties and short circuits with fluctuations in the grid voltage. Both the rectifier and the three-phase inverter are controlled using the NBA scheme; this method ensures Maximum Power Point Tracking (MPPT), which is a very appealing control objective with unpredictable scenarios of wind speed, and regulates the active and reactive power flows to the electrical network under varying wind speeds. Also, an inverter was employed to control voltage of the DC bus and the powers. The regulator’s stability is achieving using the Lyapunov approach. Simulation results with Matlab/Simulink confirm the efficiency of the presented scheme. The comparative analysis of the NBA with conventional Vector Controllers (VCs), under parameter deviations and for low voltage drop conditions, demonstrates the efficiency of the studied method.

Suggested Citation

  • Youssef Errami & Abdellatif Obbadi & Smail Sahnoun & Mohssin Aoutoul, 2024. "Nonlinear Enhanced Control for Wind Energy Generation System-Based Permanent Magnet Synchronous Generator," Sustainability, MDPI, vol. 16(17), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7374-:d:1465025
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    References listed on IDEAS

    as
    1. Pan, Lin & Shao, Chengpeng, 2020. "Wind energy conversion systems analysis of PMSG on offshore wind turbine using improved SMC and Extended State Observer," Renewable Energy, Elsevier, vol. 161(C), pages 149-161.
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