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An optimal operation strategy of wind farm for frequency regulation reserve considering wake effects

Author

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  • Tian, Sheng
  • Liu, Yongqian
  • Li, Baoliang
  • Chi, Yongning
  • Tian, Xinshou

Abstract

When wind farms (WFs) participate in power system frequency regulation, deloaded control can increase the stored rotational kinetic energy in the wind turbines (WTs), thereby enhancing their frequency support capability. However, due to the wake effects and deloaded control of turbines, this method can also lead to increased power losses. An optimal operation strategy has been proposed to balance power generation and frequency regulation reserve in WFs, taking wake effects into account. Initially, a WF deloaded control model that considers wake effects, and an adaptive combined frequency control model based on kinetic energy reserve, are established for participation in power system frequency regulation. Subsequently, the Covariance Matrix Adaptation Evolution Strategy (CMAES) is utilized to determine the optimal operation allocation of maximum WF output power within the FLORIS wake model, meeting frequency regulation reserve requirements. A comparative analysis of the optimal allocation results under various wind conditions is conducted to test the frequency support capabilities. The results indicate that the proposed strategy can achieve varying levels of frequency regulation reserve, reduce wake losses to maximize output power under deloaded control, and improve frequency support capability.

Suggested Citation

  • Tian, Sheng & Liu, Yongqian & Li, Baoliang & Chi, Yongning & Tian, Xinshou, 2024. "An optimal operation strategy of wind farm for frequency regulation reserve considering wake effects," Energy, Elsevier, vol. 304(C).
    • Handle: RePEc:eee:energy:v:304:y:2024:i:c:s0360544224017481
    DOI: 10.1016/j.energy.2024.131975
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    References listed on IDEAS

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    3. Jiang, Yihang & Zhao, Shuqiang, 2025. "Distributionally robust dispatch method with enhanced wind power frequency support modeling and inherent decision-dependent uncertainty," Energy, Elsevier, vol. 333(C).

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