YAW CONTROL STRATEGY FOR OFFSHORE WIND TURBINES BASED ON VMD-SA-CNN-LSTM WIND SPEED AND DIRECTION PREDICTION MODEL

Chen Xu; Wang Dalong; Wang Wenhao; Liu Lin; Qin Pan; Qi Xiao

doi:10.19912/j.0254-0096.tynxb.2024-2258

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (4) : 414-424. DOI: 10.19912/j.0254-0096.tynxb.2024-2258

YAW CONTROL STRATEGY FOR OFFSHORE WIND TURBINES BASED ON VMD-SA-CNN-LSTM WIND SPEED AND DIRECTION PREDICTION MODEL

Chen Xu¹, Wang Dalong¹, Wang Wenhao², Liu Lin¹, Qin Pan¹, Qi Xiao²

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Abstract

To address the issues of response lag and ineffective yaw adjustments in traditional yaw control systems under rapidly changing wind speed and direction, this study proposes a machine learning-based yaw control strategy for offshore wind turbines to further improve power generation efficiency. Firstly, the wind speed and direction measurement data are pre-processed using the averaging and variational mode decomposition （VMD） methods. The wind data is decomposed into high-frequency, mid-frequency, low-frequency, and residual components at different time scales. Based on the processed wind data, a self-attention-based convolutional neural network-long short-term memory （SA-CNN-LSTM） model is developed for ultra-short-term prediction of each frequency component and residual term, which constructs the wind prediction model. Furthermore, wind speed intervals based on turbine operating states are established and an optimal objective function is formulated. Then, the yaw control strategy integrating prediction models with parameters is optimized through the improved grey wolf optimizer （IGWO） and particle swarm optimization （PSO） algorithms. Results demonstrate that the proposed yaw control strategy enhances yaw efficiency by optimizing yaw errors, adjustment actions and timing, which improves the power generation efficiency of offshore wind turbines.

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offshore wind turbines / machine learning / prediction / yaw control / yaw error / optimization algorithm

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Chen Xu, Wang Dalong, Wang Wenhao, Liu Lin, Qin Pan, Qi Xiao. YAW CONTROL STRATEGY FOR OFFSHORE WIND TURBINES BASED ON VMD-SA-CNN-LSTM WIND SPEED AND DIRECTION PREDICTION MODEL[J]. Acta Energiae Solaris Sinica. 2026, 47(4): 414-424 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2258

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