STUDY ON POWER COLLABORATIVE OPTIMIZATION OF WIND FARM BASED ON YAW WAKE MODEL

Li Xiongwei; Xu Jiahao; Zhu Runze; Li Gengda

doi:10.19912/j.0254-0096.tynxb.2021-1292

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (10) : 144-151. DOI: 10.19912/j.0254-0096.tynxb.2021-1292

STUDY ON POWER COLLABORATIVE OPTIMIZATION OF WIND FARM BASED ON YAW WAKE MODEL

Li Xiongwei, Xu Jiahao, Zhu Runze, Li Gengda

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Abstract

In order to reduce the wake effect and improve the overall power output of wind farms, a wind farm power collaborative optimization method based on yaw wake model was proposed. Firstly, a yaw wake model of wind farms was established for calculating the incoming wind speed of each wind turbine. The yaw wake model involved the Jensen-Gaussian wake model to calculate the velocity distribution of single unit wake, as well as the wake deflection model and the wake superposition model of multiple wind turbines. Then, the wind farm power output was calculated by the incoming wind speed of each wind turbine. The optimization objective was set to maximize the overall power output of wind farms, and an algorithm based on quasi Newton method was used to collaboratively optimize the axial inducement factor and yaw offsets of each wind turbine. The simulation of 16 NREL-5 MW wind turbines that were arranged in four rows and four columns was carried out. The results showed that the proposed wind farm power collaborative optimization method based on yaw wake model could significantly improve the overall power output of wind farms.

Key words

wind farm / wind turbines / wakes / optimal control / yaw control

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Li Xiongwei, Xu Jiahao, Zhu Runze, Li Gengda. STUDY ON POWER COLLABORATIVE OPTIMIZATION OF WIND FARM BASED ON YAW WAKE MODEL[J]. Acta Energiae Solaris Sinica. 2022, 43(10): 144-151 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1292

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