基于相关向量信息熵的风电机组功率曲线构建方法研究

Deyi Fu*, Shiqiao Gao, Lingxing Kong, Haikun Jia

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

Simulation is carried out to research the key influencing factors of wind turbine power output characteristics, such as turbulence intensity, air density, yaw error, and also the inner implicit relationship with the power curve, to establish the implicit relationship sub-model, and realize the construction of the wind turbine operating power curve based on the correlation vector information entropy technology and operation data. Comparison of annual energy production is carried between the constructed power curve and the actual output, which shows that construction method based on the correlation vector information entropy can realize the true evaluation of the operating power output characteristics of wind turbine, meanwhile the evaluation error is less than 2%.

投稿的翻译标题Wind turbine power curve construction based on correlation vector information entropy
源语言繁体中文
页(从-至)252-259
页数8
期刊Taiyangneng Xuebao/Acta Energiae Solaris Sinica
43
5
DOI
出版状态已出版 - 28 5月 2022

关键词

  • Correlation vector
  • Information entropy
  • Power curve construction
  • Wind turbines

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