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<p>With the large-scale integration of doubly-fed wind power systems into the grid, subsynchronous control interaction (SSCI) has increasingly become a critical issue affecting the stability of doubly-fed wind farms. This paper addresses the time-varying frequency and complex disturbance characteristics of SSCI by proposing a Quasi-Resonant Cascade Observer-Based Active Disturbance Rejection Control (QRCE-ADRC) strategy. Based on the traditional linear ADRC framework, the proposed control scheme introduces a Quasi-Resonant Extended State Observer (QRESO) to achieve high-gain estimation of disturbances at specific frequencies, and cascades an Additional Linear Extended State Observer (ALESO) to improve the compensation accuracy of residual disturbances. To verify its effectiveness, multiple typical scenarios-including steady-state wind speed variations, single-phase and three-phase faults, and changes in grid series compensation-are simulated on the MATLAB/Simulink platform and compared with conventional PI control and TCSC devices. Simulation results demonstrate that the QRCE-ADRC strategy exhibits stronger dynamic response capability and oscillation suppression performance, significantly enhancing system stability under strong coupling and high disturbance conditions. This provides a novel approach for engineering control of SSCI issues in wind power systems.</p>

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Research on Subsynchronous Oscillation Suppression Strategy for Doubly-Fed Wind Turbine Based on Quasi-Resonant Cascade ESO in LADRC

  • 期刊论文

  • 发表日期：

    2025年11月28日

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  • Xunwen Su,
  • Yu Han,
  • Jiahao Geng,
  • Hangyuan Wei,
  • Zijing Wu,
  • Siqi Zhang

摘要

With the large-scale integration of doubly-fed wind power systems into the grid, subsynchronous control interaction (SSCI) has increasingly become a critical issue affecting the stability of doubly-fed wind farms. This paper addresses the time-varying frequency and complex disturbance characteristics of SSCI by proposing a Quasi-Resonant Cascade Observer-Based Active Disturbance Rejection Control (QRCE-ADRC) strategy. Based on the traditional linear ADRC framework, the proposed control scheme introduces a Quasi-Resonant Extended State Observer (QRESO) to achieve high-gain estimation of disturbances at specific frequencies, and cascades an Additional Linear Extended State Observer (ALESO) to improve the compensation accuracy of residual disturbances. To verify its effectiveness, multiple typical scenarios-including steady-state wind speed variations, single-phase and three-phase faults, and changes in grid series compensation-are simulated on the MATLAB/Simulink platform and compared with conventional PI control and TCSC devices. Simulation results demonstrate that the QRCE-ADRC strategy exhibits stronger dynamic response capability and oscillation suppression performance, significantly enhancing system stability under strong coupling and high disturbance conditions. This provides a novel approach for engineering control of SSCI issues in wind power systems.