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Sliding mode control of grid connected brushless doubly fed induction generator driven by wind turbine in variable speed

Author

Listed:
  • M. Abdelbasset Mahboub

    (University of Batna)

  • Said Drid

    (University of Batna)

  • M. A. Sid

    (Setif University)

  • Ridha Cheikh

    (Biskra University
    Centre de éveloppement des Energies Renouvelables, CDER)

Abstract

This paper proposes a robust sliding mode control of grid-connected brushless doubly fed induction generator (BDFIG). The developed algorithm is based on the decoupling control by using oriented grid flux vector control strategy. The decoupling of the active and the reactive stator powers insures an optimal performance of the BDFIG at the sub-synchronous region. The stability analysis of the closed-loop system is rigorously proved using a Lyapunov approach. The robustness of the proposed control with respect to parameter variation is illustrated by simulation results. Furthermore, a maximum power point tracking strategy is added to enhance the wind energy conversion system efficiency.

Suggested Citation

  • M. Abdelbasset Mahboub & Said Drid & M. A. Sid & Ridha Cheikh, 2017. "Sliding mode control of grid connected brushless doubly fed induction generator driven by wind turbine in variable speed," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 788-798, November.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-016-0524-1
    DOI: 10.1007/s13198-016-0524-1
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    References listed on IDEAS

    as
    1. Soares, Orlando & Gonçalves, Henrique & Martins, António & Carvalho, Adriano, 2010. "Nonlinear control of the doubly-fed induction generator in wind power systems," Renewable Energy, Elsevier, vol. 35(8), pages 1662-1670.
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    Cited by:

    1. W. Slimane & M. T. Benchouia & A. Golea & S. Drid, 0. "Second order sliding mode maximum power point tracking of wind turbine systems based on double fed induction generator," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-12.
    2. Juan I. Talpone & Paul F. Puleston & Marcelo G. Cendoya & José. A. Barrado-Rodrigo, 2019. "A Dual-Stator Winding Induction Generator Based Wind-Turbine Controlled via Super-Twisting Sliding Mode," Energies, MDPI, vol. 12(23), pages 1-20, November.
    3. Yasser Belkacem & Said Drid & Abdesslam Makouf & Larbi Chrifi-Alaoui, 2022. "Multi-agent energy management and fault tolerant control of the micro-grid powered with doubly fed induction generator wind farm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 267-277, February.
    4. Ridha Cheikh & Hocine Belmili & Arezki Menacer & Said Drid & L. Chrifi-Alaoui, 2019. "Dynamic behavior analysis under a grid fault scenario of a 2 MW double fed induction generator-based wind turbine: comparative study of the reference frame orientation approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 632-643, August.
    5. Oussama Moussa & Rachid Abdessemed & Said Benaggoune, 2019. "Super-twisting sliding mode control for brushless doubly fed induction generator based on WECS," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 1145-1157, October.
    6. W. Slimane & M. T. Benchouia & A. Golea & S. Drid, 2020. "Second order sliding mode maximum power point tracking of wind turbine systems based on double fed induction generator," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 716-727, June.
    7. Mousavi, Yashar & Bevan, Geraint & Kucukdemiral, Ibrahim Beklan & Fekih, Afef, 2022. "Sliding mode control of wind energy conversion systems: Trends and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).

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