A short-term wind power prediction method based on wind speed correction and spatial data enhancement

Rentong Dai; Lirong Xie; Wei Ma; Yifan Bian

doi:10.1117/12.3030201

5 June 2024 A short-term wind power prediction method based on wind speed correction and spatial data enhancement

Rentong Dai, Lirong Xie, Wei Ma, Yifan Bian

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131633K (2024) https://doi.org/10.1117/12.3030201
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

A short-term wind power prediction method based on wind speed correction and spatial data enhancement is proposed. Firstly, considering the discrepancy between the wind speed data in the numerical weather prediction (NWP) and the measured wind speed, a wind speed correction strategy is developed to correct the wind speed. Secondly, the empirical orthogonal function decomposition (EOF) and hierarchical clustering methods are used to divide the wind farms into subregions and select representative wind turbines using the correlation coefficients. Finally, the wind speed information of the representative turbines is integrated to complete the spatial data enhancement session.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rentong Dai, Lirong Xie, Wei Ma, and Yifan Bian "A short-term wind power prediction method based on wind speed correction and spatial data enhancement", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131633K (5 June 2024); https://doi.org/10.1117/12.3030201

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