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Research on Coordinated Control Strategy of DFIG-ES System Based on Fuzzy Control

Author

Listed:
  • Jianghong Chen

    (College of Electrical and New Energy, Three Gorges University, Yichang 443002, China)

  • Teng Yuan

    (College of Electrical and New Energy, Three Gorges University, Yichang 443002, China)

  • Xuelian Li

    (College of Electrical and New Energy, Three Gorges University, Yichang 443002, China)

  • Weiliang Li

    (College of Electrical and New Energy, Three Gorges University, Yichang 443002, China)

  • Ximu Wang

    (College of Electrical and New Energy, Three Gorges University, Yichang 443002, China)

Abstract

As the penetration rate of wind power systems is rising, which causes the overall system’s inertia to decline, the power system’s capacity to regulate frequency will be negatively affected. Therefore, this paper investigates the inertia control of doubly fed induction generation, and an energy storage system is installed in the wind farm to respond to the frequency deviation. First, a fuzzy control-based virtual inertia adaptive control strategy is presented. The goal of dynamic adjustment of the virtual inertia coefficient is realized by taking into account the uncertain factors of wind speed and frequency change rate. A recovery strategy based on the energy storage system’s level of charge is employed to prevent overcharging and over-discharging of the battery. Then, a weight factor based on frequency deviation is introduced to combine the droop output of the energy storage system with the virtual inertia output of the doubly fed induction generation, and the joint output mode of the wind storage system is determined in each stage of primary frequency regulation. Finally, the simulation verification is performed using the wind storage system simulation model created by MATLAB. The comparison results with other control methods prove that the proposed method is effective.

Suggested Citation

  • Jianghong Chen & Teng Yuan & Xuelian Li & Weiliang Li & Ximu Wang, 2023. "Research on Coordinated Control Strategy of DFIG-ES System Based on Fuzzy Control," Energies, MDPI, vol. 16(12), pages 1-12, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4770-:d:1173051
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    References listed on IDEAS

    as
    1. Sijia Tu & Bingda Zhang & Xianglong Jin, 2019. "Research on DFIG-ES System to Enhance the Fast-Frequency Response Capability of Wind Farms," Energies, MDPI, vol. 12(18), pages 1-20, September.
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    Cited by:

    1. Baolong Nguyen Phung & Yuan-Kang Wu & Manh-Hai Pham, 2024. "Novel Fuzzy Logic Controls to Enhance Dynamic Frequency Control and Pitch Angle Regulation in Variable-Speed Wind Turbines," Energies, MDPI, vol. 17(11), pages 1-26, May.

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