This article investigates the frequency stability of wind power connected to a high-voltage AC/DC hybrid transmission system, focusing on the optimization of parameters for grid-structured wind power. Firstly, based on the physical model of synchronous generator and converter, the frequency response model of grid-structured wind power connected to high-voltage AC/DC hybrid transmission system is derived. The analysis shows that the virtual inertia, droop coefficient and virtual damping of grid-structured wind power have significant contribution on the frequency characteristics. Through the sensitivity analysis, the action mechanisms of these parameters on the steady-state frequency deviation, initial frequency change rate and peak frequency deviation are clarified. Based on this, a parameter optimization method is proposed to significantly enhance the system frequency stability by adjusting the above parameters. The simulation outcomes demonstrate the efficacy of the optimization method, which provides theoretical support and technical reference for high-penetration wind power integration into power systems.

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Optimization of Grid-Structured Wind Power Parameters Based on Frequency Response Characteristics

  • Ruijia Sun,
  • Weiwei Peng,
  • Xia Zhou

摘要

This article investigates the frequency stability of wind power connected to a high-voltage AC/DC hybrid transmission system, focusing on the optimization of parameters for grid-structured wind power. Firstly, based on the physical model of synchronous generator and converter, the frequency response model of grid-structured wind power connected to high-voltage AC/DC hybrid transmission system is derived. The analysis shows that the virtual inertia, droop coefficient and virtual damping of grid-structured wind power have significant contribution on the frequency characteristics. Through the sensitivity analysis, the action mechanisms of these parameters on the steady-state frequency deviation, initial frequency change rate and peak frequency deviation are clarified. Based on this, a parameter optimization method is proposed to significantly enhance the system frequency stability by adjusting the above parameters. The simulation outcomes demonstrate the efficacy of the optimization method, which provides theoretical support and technical reference for high-penetration wind power integration into power systems.