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Enhanced Direct Reactive Power Control-Based Multi-Level Inverter for DFIG Wind System under Variable Speeds

Author

Listed:
  • Salah Tamalouzt

    (Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria)

  • Youcef Belkhier

    (Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria)

  • Younes Sahri

    (Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria)

  • Mohit Bajaj

    (National Institute of Technology, Delhi 110040, India)

  • Nasim Ullah

    (Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Md. Shahariar Chowdhury

    (Faculty of Environmental Management, Prince of Songkla University, Hat Yai 90112, Thailand)

  • Teerawet Titseesang

    (Faculty of Business Administration, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand)

  • Kuaanan Techato

    (Faculty of Environmental Management, Prince of Songkla University, Hat Yai 90112, Thailand
    Faculty of Business Administration, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand
    Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, Hat Yai 90112, Thailand)

Abstract

A novel direct reactive power control strategy based on the three-level inverter topology (DRPC-3N) is proposed for a doubly fed induction generator (DFIG)-based wind power plant system. The robustness against parametric variations and control performances of the presented methodology are analyzed under random wind speeds, taking into account the effect of the heating of the windings as well as the saturation of the magnetic circuit. The performance indices include obtaining a sinusoidal AC-generated current with low THD and less ripples in the output. Moreover, the generator can be considered as a reactive power compensator, which allows for the controlling of the active and reactive power of the stator side connected directly to the grid side using only the rotor converter. In this study, unpredictable conduct of the wind velocity that forces the DFIG to operate through all modes of operation in a continual and successive way is considered. The received wind power is utilized to extract the optimum power by using an appropriate MPPT algorithm, and the pitch angle control is activated during the overspeed to restrict the produced active power. The simulation tests are performed under Matlab/Simulink and the presented results show the robustness and effectiveness of the new DRPC strategy with the proposed topology, which means that the performances are more sophisticated.

Suggested Citation

  • Salah Tamalouzt & Youcef Belkhier & Younes Sahri & Mohit Bajaj & Nasim Ullah & Md. Shahariar Chowdhury & Teerawet Titseesang & Kuaanan Techato, 2021. "Enhanced Direct Reactive Power Control-Based Multi-Level Inverter for DFIG Wind System under Variable Speeds," Sustainability, MDPI, vol. 13(16), pages 1-26, August.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9060-:d:613569
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    References listed on IDEAS

    as
    1. Hu, Jiabing & Yuan, Xiaoming, 2012. "VSC-based direct torque and reactive power control of doubly fed induction generator," Renewable Energy, Elsevier, vol. 40(1), pages 13-23.
    2. Firuz Zare & Firuz Zare, 2009. "Multilevel Converters in Renewable Energy Systems," Chapters, in: Thomas Hammons (ed.), Renewable Energy, IntechOpen.
    3. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
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    Cited by:

    1. Youcef Belkhier & Nasim Ullah & Ahmad Aziz Al Alahmadi, 2021. "Efficiency Maximization of Grid-Connected Tidal Stream Turbine System: A Supervisory Energy-Based Speed Control Approach with Processor in the Loop Experiment," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
    2. Younes Sahri & Salah Tamalouzt & Sofia Lalouni Belaid & Seddik Bacha & Nasim Ullah & Ahmad Aziz Al Ahamdi & Ali Nasser Alzaed, 2021. "Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions," Sustainability, MDPI, vol. 13(21), pages 1-23, October.

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