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Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines

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  • Taveiros, F.E.V.
  • Barros, L.S.
  • Costa, F.B.

Abstract

Control of DFIG (doubly-fed induction generator) is traditionally based on PI (proportional-integral) controllers and recently many papers have proposed sliding-mode based controllers. However, such controllers may excite unmodeled high-frequency system transients due to chattering, resulting in oscillations or even in unforeseen instability. In order to overcome these drawbacks, this paper proposes a internal model state-feedback control strategy for regulation of rotor direct and quadrature currents for wind driven DFIG, which can keep the smooth control signal of the classical PI controller and, at the same time, provides robustness to external disturbances. The currents are controlled in order to accomplish reactive power support to the grid and MPPT (maximum power point tracking). The proposed state-feedback control strategy as well as the classical PI and the VS-MRAC (variable-structure model reference adaptive control) sliding-mode strategy were discretized and implemented in a digital signal processor in order to interact with a real-time digital simulation of the DFIG-based wind energy conversion system. The proposed control structure achieved the fastest and the most robust dynamic response without stressing the converters or deteriorating the power quality.

Suggested Citation

  • Taveiros, F.E.V. & Barros, L.S. & Costa, F.B., 2015. "Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines," Energy, Elsevier, vol. 89(C), pages 896-906.
    • Handle: RePEc:eee:energy:v:89:y:2015:i:c:p:896-906
    DOI: 10.1016/j.energy.2015.06.027
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    References listed on IDEAS

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    1. Boutoubat, M. & Mokrani, L. & Machmoum, M., 2013. "Control of a wind energy conversion system equipped by a DFIG for active power generation and power quality improvement," Renewable Energy, Elsevier, vol. 50(C), pages 378-386.
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    6. Verij Kazemi, Mohammad & Sadeghi Yazdankhah, Ahmad & Madadi Kojabadi, Hossein, 2010. "Direct power control of DFIG based on discrete space vector modulation," Renewable Energy, Elsevier, vol. 35(5), pages 1033-1042.
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    Cited by:

    1. Mahdy, Ahmed & Hasanien, Hany M. & Helmy, Waleed & Turky, Rania A. & Abdel Aleem, Shady H.E., 2022. "Transient stability improvement of wave energy conversion systems connected to power grid using anti-windup-coot optimization strategy," Energy, Elsevier, vol. 245(C).
    2. Luis A. G. Gomez & Samuel C. Pereira & André L. L. F. Murari & Henrique S. Franco & Jose A. T. Altuna & Mauricio B. C. Salles & Alfeu J. S. Filho & Carlos E. Capovilla & Ivan R. S. Casella, 2019. "Analysis of a Control System for DFIG Wind Generators Based on the Transmission of Power References through a GSM Wireless Network: A Smart Grid Experimental Approach," Energies, MDPI, vol. 12(2), pages 1-12, January.
    3. 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).
    4. 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.
    5. Yanwei Jing & Hexu Sun & Lei Zhang & Tieling Zhang, 2017. "Variable Speed Control of Wind Turbines Based on the Quasi-Continuous High-Order Sliding Mode Method," Energies, MDPI, vol. 10(10), pages 1-21, October.
    6. Youssef, Abdel-Raheem & Mousa, Hossam H.H. & Mohamed, Essam E.M., 2020. "Development of self-adaptive P&O MPPT algorithm for wind generation systems with concentrated search area," Renewable Energy, Elsevier, vol. 154(C), pages 875-893.
    7. Jayshree Pande & Paresh Nasikkar, 2023. "A Maximum Power Point Tracking Technique for a Wind Power System Based on the Trapezoidal Rule," Energies, MDPI, vol. 16(6), pages 1-18, March.
    8. Oscar Barambones & Jose M. Gonzalez de Durana & Isidro Calvo, 2018. "Adaptive Sliding Mode Control for a Double Fed Induction Generator Used in an Oscillating Water Column System," Energies, MDPI, vol. 11(11), pages 1-27, October.

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