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Optimal decentralized power control considering wide wind speed range for wind farm based on rotor speed dominant

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Listed:
  • Wei, Lai
  • Wei, Juan
  • Huang, Sheng
  • Zhang, Qian
  • Wang, Jinhao
  • Li, Canbing
  • Wang, Shuaifeng
  • Wei, Jiaheng

Abstract

The stable operation capability of wind farms (WF) is closely related to wind speed conditions. In this paper, an optimal decentralized power control (ODPC) considering wide wind range for WF with rotor speed dominant is proposed to achieve a optimal system performance without any centralized computations and communication links. A hierarchical decentralized controller is established to regulate the control references of WTs under different wind speed (WS) ranges. In the upper-layer controller, the optimal reactive power references are optimized to suppress the node voltage fluctuations of WF, which can be used as the input to lower-layer WTs controllers. In the lower-layer controller, the output power and weak magnetic current of WTs are optimized to achieve better system performance compared with the traditional control schemes with different WS ranges. In the low WS range, the output power is regulated to improve the wind energy capture and voltage support capacities of WTs. In the high WS range, the output power and weak magnetic current are regulated to minimize the terminal voltage deviation and converter operation risk factor of WTs. The test studies in MATLAB verify the effectiveness and reliability of the proposed ODPC scheme.

Suggested Citation

  • Wei, Lai & Wei, Juan & Huang, Sheng & Zhang, Qian & Wang, Jinhao & Li, Canbing & Wang, Shuaifeng & Wei, Jiaheng, 2025. "Optimal decentralized power control considering wide wind speed range for wind farm based on rotor speed dominant," Energy, Elsevier, vol. 337(C).
    • Handle: RePEc:eee:energy:v:337:y:2025:i:c:s0360544225042173
    DOI: 10.1016/j.energy.2025.138575
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    References listed on IDEAS

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    1. Yang, Mao & Jiang, Renxian & Wang, Bo & Fang, Guozhong & Jia, Yunpeng & Fan, Fulin, 2025. "Multi-channel attention mechanism graph convolutional network considering cumulative effect and temporal causality for day-ahead wind power prediction," Energy, Elsevier, vol. 332(C).
    2. Nguyen, Van-Hoang & Cao, Van-Long & Shen, Lian & Park, Sung Goon, 2025. "Effect of wind–wave angle on the power production and wake characteristics of an offshore wind farm at various wave ages," Energy, Elsevier, vol. 334(C).
    3. Dai, Juchuan & Zeng, Huifan & Wen, Li & Zhang, Fan & Tang, Kun, 2025. "A novel time-history optimization control method for power control of wind turbines based on aging evaluation," Energy, Elsevier, vol. 334(C).
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