RESEARCH ON FATIGUE LOAD SURROGATE MODEL FOR WIND TURBINES CONSIDERING WAKE EFFECTS

Wang Binbin; Peng Liuliu; Huang Guoqing; Yang Xiaolong; Liu Weijie; Xin Zhiqiang

doi:10.19912/j.0254-0096.tynxb.2024-1150

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (11) : 623-628. DOI: 10.19912/j.0254-0096.tynxb.2024-1150

RESEARCH ON FATIGUE LOAD SURROGATE MODEL FOR WIND TURBINES CONSIDERING WAKE EFFECTS

Wang Binbin¹, Peng Liuliu², Huang Guoqing², Yang Xiaolong², Liu Weijie², Xin Zhiqiang³

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Abstract

A wind turbine fatigue load surrogate model that can account for wake effects is proposed in this paper. First, reasonable samples of input parameters for the model are selected based on engineering experience. Then, TurbSim is used to generate corresponding inflow wind field files, and the FAST. Farm software is used to carry out simulations of dual wind turbine loads to obtain a database of fatigue loads in wake and non-wake regions. Finally, support vector regression （SVR） and backpropagation neural networks （BPNN） are used to establish wind turbine fatigue load surrogate models for wake and non-wake regions, respectively. The results show that compared with traditional wind turbine fatigue load surrogate models, the proposed model, which includes wind turbine spacing as an input parameter, can consider wake effects between turbines, making the modeling approach more reasonable. Furthermore, considering both R² and NRMSE evaluation metrics, the modeling performance of SVM is superior to that of BPNN, with the models generally predicting loads on blades and the tower-top more accurately than at the tower base.

Key words

wind turbines / wake effects / fatigue load / surrogate model / FAST.farm / support vector regression / backpropagation neural networks

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Wang Binbin, Peng Liuliu, Huang Guoqing, Yang Xiaolong, Liu Weijie, Xin Zhiqiang. RESEARCH ON FATIGUE LOAD SURROGATE MODEL FOR WIND TURBINES CONSIDERING WAKE EFFECTS[J]. Acta Energiae Solaris Sinica. 2025, 46(11): 623-628 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1150

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