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Research on Evaluation Method of Wind Farm Wake Energy Efficiency Loss Based on SCADA Data Analysis

Author

Listed:
  • Kuichao Ma

    (Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China
    College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Huanqiang Zhang

    (School of Energy Power & Mechanical Engineering, North China Electric Power University, Beijing 102206, China)

  • Xiaoxia Gao

    (School of Energy Power & Mechanical Engineering, North China Electric Power University, Beijing 102206, China)

  • Xiaodong Wang

    (School of Energy Power & Mechanical Engineering, North China Electric Power University, Beijing 102206, China)

  • Heng Nian

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Wei Fan

    (Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China)

Abstract

The large size of wind turbines and wind farm clustering aggravate the effect of wake on output power, resulting in a reduction in the economic benefits of wind farms. This paper took the actual operating turbines of an onshore wind farm in China as the research object and analyzed the influence of wake on energy efficiency loss by combining SCADA data. The research established a complete loss assessment method and proposed the corresponding evaluation criteria. The results showed that typical wind turbines seriously affected by wake accounted for 32.8% of the wind farm. The actual output power was only 84.2% of the theoretical output power at the lowest month, and the wake loss of the wind farm is serious. The economic efficiency of the wind farm is lower in the summer months (June–August). The study can provide a theoretical basis for the arrangement of wind farms and the development of an operation control strategy.

Suggested Citation

  • Kuichao Ma & Huanqiang Zhang & Xiaoxia Gao & Xiaodong Wang & Heng Nian & Wei Fan, 2024. "Research on Evaluation Method of Wind Farm Wake Energy Efficiency Loss Based on SCADA Data Analysis," Sustainability, MDPI, vol. 16(5), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1813-:d:1343837
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    References listed on IDEAS

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