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Bi-level optimal active power dispatch in wind farms for drive train load reduction

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  • Li, Yuxiang
  • Huang, Sheng
  • Peng, Hanzhi
  • Wei, Juan
  • Yang, Yu
  • Chen, Daojun
  • Huang, Xiaohui

Abstract

The randomness of time-varying wind speed leads to fluctuations in the power and torque of wind turbines (WTs), which increases the drive train load. In this study, a bi-level optimal active power dispatch in wind farms (WFs) was proposed to suppress the drive train load. In the upper level, under the premise of tracking power demand instructions from the transmission system operator (TSO), the WF controller solved the power reference of each WT based on a correlation model between torque and power output. In the lower level, the equivalent fatigue degree of each WT was measured in real time based on the historical data of drive train load and fed back to the upper level. Finally, according to the fatigue degree of each WT, different weight coefficients were obtained to correct the power reference calculated by the upper level and distribute it to each WT. This study provides a more balanced fatigue load distribution among WFs while addressing the optimal active power dispatch issue to suppress the drive train load. Case studies in MATLAB/Simulink demonstrated the effectiveness of the proposed method.

Suggested Citation

  • Li, Yuxiang & Huang, Sheng & Peng, Hanzhi & Wei, Juan & Yang, Yu & Chen, Daojun & Huang, Xiaohui, 2025. "Bi-level optimal active power dispatch in wind farms for drive train load reduction," Energy, Elsevier, vol. 339(C).
    • Handle: RePEc:eee:energy:v:339:y:2025:i:c:s0360544225046894
    DOI: 10.1016/j.energy.2025.139047
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    References listed on IDEAS

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