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Large-scale doubly fed wind farms have caused sub-synchronous oscillation (SSO) events many times through the series compensation grid-connected system, which has a serious impact on the power system. By optimizing the generator control parameters, the sub-synchronous oscillation damping of the generator can be effectively improved. However, owing to the influence of time-varying oscillation frequency damping, it is difficult to achieve in-depth optimization and optimal effects of the control parameters. To solve this problem, this study proposes a parameter optimization method based on the optimal phase-shift angle and gain to achieve efficient suppression of SSO. The simulation model was built on the MATLAB/Simulink platform, and a time domain analysis was performed. The experimental results show that the optimized control strategy can effectively and quickly suppress the SSO under different wind speeds, series compensation degrees, and operating conditions, and the attenuation rate reached 70%, which effectively improved the grid-connected stability of wind turbines.

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Research on the Optimization Method of Sub-Synchronous Oscillation Damping Control of Doubly-Fed Wind Turbines

  • 会议论文

  • 发表日期：

    2025年

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  • Xu Zhang,
  • Yuhan Xie,
  • Feiran Zhang,
  • Hui Huang,
  • Qiman Xie,
  • Xinyue Wang,
  • Pujiang Zheng,
  • Lixue Wang

摘要

Large-scale doubly fed wind farms have caused sub-synchronous oscillation (SSO) events many times through the series compensation grid-connected system, which has a serious impact on the power system. By optimizing the generator control parameters, the sub-synchronous oscillation damping of the generator can be effectively improved. However, owing to the influence of time-varying oscillation frequency damping, it is difficult to achieve in-depth optimization and optimal effects of the control parameters. To solve this problem, this study proposes a parameter optimization method based on the optimal phase-shift angle and gain to achieve efficient suppression of SSO. The simulation model was built on the MATLAB/Simulink platform, and a time domain analysis was performed. The experimental results show that the optimized control strategy can effectively and quickly suppress the SSO under different wind speeds, series compensation degrees, and operating conditions, and the attenuation rate reached 70%, which effectively improved the grid-connected stability of wind turbines.