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 |
| 卷 | 43 |
| 期 | 5 |
| DOI | |
| 出版状态 | 已出版 - 28 5月 2022 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
-
可持续发展目标 7 经济适用的清洁能源
关键词
- Correlation vector
- Information entropy
- Power curve construction
- Wind turbines
指纹
探究 '基于相关向量信息熵的风电机组功率曲线构建方法研究' 的科研主题。它们共同构成独一无二的指纹。引用此
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