Short-term wind power prediction based on spatial model
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- 作者：Lin Ye ; yelin@cau.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Yongning Zhao zyn@cau.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Cheng Zeng ; Cihang Zhang zhangch@cau.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Wind farm ; Power prediction ; Spatial correlation model ; Wake effect ; Finite volume method (FVM)
- 刊名：Renewable Energy
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：101
- 期：Complete
- 页码：1067-1074
- 全文大小：1277 K
文摘
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Wind power prediction model based on physical approach and spatial correlation.
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A novel spatial correlation model derived from Computational Fluid Dynamics.
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Information from correlated sites is considered in the spatial correlation model.
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The spatial correlation model can characterize dependence structure of wind turbines.
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Accuracy of wind farm power prediction is improved by the spatial correlation model.