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Eigen-Sensitivity-Based Sliding Mode Control for LFO Damping in DFIG-Integrated Power Systems

Author

Listed:
  • Rui Zhang

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230009, China)

  • Hao Zhang

    (State Grid Hefei Electric Power Supply Company, Hefei 230009, China)

  • Jianqiao Ye

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China)

  • Jiaqing Wang

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230009, China)

  • Qing Liu

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230009, China)

  • Shenghu Li

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China)

Abstract

Low-frequency oscillation (LFO) of the synchronous generators in power systems by wind power is boring. To improve the robustness of the damping control scheme, this paper applies the sliding mode control (SMC) at the doubly fed induction generator (DFIG), with the parameter of the SMC optimized by the eigen-sensitivity. The originalities lie in, (1) the states strongly associated with the critical modes are newly applied to design the sliding surface, (2) the closed-loop model of the power system with the improved equivalent control is derived to analyze the damping effect on the critical modes and the undesirable effect on the noncritical modes, (3) the gain in the improved equivalent control is optimized to damp the critical and noncritical modes, and (4) the eigenvector sensitivity is improved to derive the second-order eigen- sensitivity to solve the nonlinear optimization. Numerical results show that the proposed model damps the critical modes effectively for different wind speeds, while the undesirable effect on the noncritical modes is avoided.

Suggested Citation

  • Rui Zhang & Hao Zhang & Jianqiao Ye & Jiaqing Wang & Qing Liu & Shenghu Li, 2023. "Eigen-Sensitivity-Based Sliding Mode Control for LFO Damping in DFIG-Integrated Power Systems," Energies, MDPI, vol. 16(10), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4256-:d:1153014
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    References listed on IDEAS

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    1. Mohamed S. Abdalzaher & Mostafa M. Fouda & Mohamed I. Ibrahem, 2022. "Data Privacy Preservation and Security in Smart Metering Systems," Energies, MDPI, vol. 15(19), pages 1-19, October.
    2. Li, Shenghu, 2017. "Low-frequency oscillations of wind power systems caused by doubly-fed induction generators," Renewable Energy, Elsevier, vol. 104(C), pages 129-138.
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