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Second order sliding mode maximum power point tracking of wind turbine systems based on double fed induction generator

Author

Listed:
  • W. Slimane

    (University of Biskra)

  • M. T. Benchouia

    (University of Biskra)

  • A. Golea

    (University of Biskra)

  • S. Drid

    (University of Mustafa)

Abstract

This paper deals with maximum power point tracking control (MPPT) of wind turbines systems based on double fed induction generator (DFIG). To minimize the variable and random character of wind speed impact on the wind turbine system, a maximum power point tracking algorithm based on sliding mode control is proposed. The MPPT algorithm is designed with sliding-mode control theory, this solution shows good robustness with respect to parameter variations, measurement errors and robustness with respect to external disturbances and unmodeled dynamics (DFIG-WT). A comparative study is elaborated using PI, first and second order sliding mode controllers. The simulation results confirm the effectiveness of the proposed approach either in transient and steady state.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:ijsaem:v::y::i::d:10.1007_s13198-020-00987-8
    DOI: 10.1007/s13198-020-00987-8
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    References listed on IDEAS

    as
    1. Zineb Lahlou & Khaddouj Ben Meziane & Ismail Boumhidi, 2019. "Sliding mode controller based on type-2 fuzzy logic PID for a variable speed wind turbine," 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 543-551, August.
    2. 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.
    3. 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.
    4. F. Z. Tria & K. Srairi & M. T. Benchouia & M. E. H. Benbouzid, 2017. "An integral sliding mode controller with super-twisting algorithm for direct power control of wind generator based on a doubly 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. 8(4), pages 762-769, December.
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