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Rotor speed control of doubly fed induction generator wind turbines using adaptive maximum power point tracking

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  • Phan, Dinh-Chung
  • Yamamoto, Shigeru

Abstract

This paper proposes a new method for obtaining the maximum power output of a doubly fed induction generator (DFIG) wind turbine. This scheme does not require the precise parameters of the wind turbine or any information about the wind speed or wind sensor. The maximum power point tracking (MPPT) ability of the proposed method is theoretically proven under some certain assumptions. To obtain the required control performance, several control parameters may be adopted. Particularly, the control method is constructed on the basis of the Lyapunov function. The quality of the proposed method is verified by the numerical simulation of a 1.5-MW DFIG wind turbine. The simulation results show that the wind turbine implemented with the proposed method can track the optimal operation point. Furthermore, the energy output of the DFIG wind turbine using the proposed method is higher compared to conventional methods under the same conditions.

Suggested Citation

  • Phan, Dinh-Chung & Yamamoto, Shigeru, 2016. "Rotor speed control of doubly fed induction generator wind turbines using adaptive maximum power point tracking," Energy, Elsevier, vol. 111(C), pages 377-388.
    • Handle: RePEc:eee:energy:v:111:y:2016:i:c:p:377-388
    DOI: 10.1016/j.energy.2016.05.077
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    References listed on IDEAS

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    Cited by:

    1. Darvish Falehi, Ali, 2020. "An innovative optimal RPO-FOSMC based on multi-objective grasshopper optimization algorithm for DFIG-based wind turbine to augment MPPT and FRT capabilities," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    2. Yang, Bo & Yu, Tao & Shu, Hongchun & Dong, Jun & Jiang, Lin, 2018. "Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers," Applied Energy, Elsevier, vol. 210(C), pages 711-723.
    3. Kelkoul, Bahia & Boumediene, Abdelmadjid, 2021. "Stability analysis and study between classical sliding mode control (SMC) and super twisting algorithm (STA) for doubly fed induction generator (DFIG) under wind turbine," Energy, Elsevier, vol. 214(C).

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