ONLINE PREDICTION OF ROTOR WIND SPEED BASED ON LIDAR

Chen Bowen; Feng Xiangheng; Lin Yonggang; Gu Yajing; Liu Hongwei; Sun Yong

doi:10.19912/j.0254-0096.tynxb.2024-0114

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (5) : 539-546. DOI: 10.19912/j.0254-0096.tynxb.2024-0114

ONLINE PREDICTION OF ROTOR WIND SPEED BASED ON LIDAR

Chen Bowen¹, Feng Xiangheng^1,2, Lin Yonggang¹, Gu Yajing¹, Liu Hongwei¹, Sun Yong²

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Abstract

Leveraging advanced LIDAR-based wind speed measurements ahead of the wind turbine, this paper proposes a plane wind speed time-delay processing algorithm to achieve ultra-short-term online wind speed prediction for the rotor plane. The proposed wind speed prediction method is validated using actual wind speed data from a wind farm, demonstrating a 17% improvement in prediction accuracy compared to the traditional Taylor frozen method. Furthermore, the equivalent wind speed in the rotor plane, calculated using the modified wind speed prediction model exhibits a high correlation with the turbine’s operational data, with a correlation coefficient exceeding 0.9, confirming the accuracy of the proposed plane wind speed prediction method.

Key words

wind turbines / lidar / wind speed evolution / plane wind speed / equivalent wind speed

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Chen Bowen, Feng Xiangheng, Lin Yonggang, Gu Yajing, Liu Hongwei, Sun Yong. ONLINE PREDICTION OF ROTOR WIND SPEED BASED ON LIDAR[J]. Acta Energiae Solaris Sinica. 2025, 46(5): 539-546 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0114

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