PREDICTION OF IMPACT RESISTANCE OF OFFSHORE WIND TURBINE BASED ON AO-ESN

Zhang Ping; Yang Xiaolei; Zhang Guofeng; Chen Cheng; Yin Junjie; Li Lianbing

doi:10.19912/j.0254-0096.tynxb.2022-1107

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (5) : 480-486. DOI: 10.19912/j.0254-0096.tynxb.2022-1107

PREDICTION OF IMPACT RESISTANCE OF OFFSHORE WIND TURBINE BASED ON AO-ESN

Zhang Ping¹, Yang Xiaolei², Zhang Guofeng³, Chen Cheng³, Yin Junjie³, Li Lianbing¹

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Abstract

In response to the current two mainstream solution of offshore wind turbine with insufficient accuracy of ground resistance methods, in this paper, the improved Echo state network （AO-ESN） based on the Aquila optimizer is proposed to predict and analyze the grounding resistance of offshore wind turbines. The three networks of BP, ESN and AO-ESN are used to make predictions. The results show that the prediction accuracy of the AO-ESN prediction model is 18% and 14.46% higher than the BP and ESN models, and the error is as low as 0.54%. The model built in this paper can be accurately predict the grounding resistance of offshore wind turbines, and provide reference for transient analysis and lightning protection of offshore wind turbines

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offshore wind turbines / forecasting / lightning / ESN / grounding resistance

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Zhang Ping, Yang Xiaolei, Zhang Guofeng, Chen Cheng, Yin Junjie, Li Lianbing. PREDICTION OF IMPACT RESISTANCE OF OFFSHORE WIND TURBINE BASED ON AO-ESN[J]. Acta Energiae Solaris Sinica. 2023, 44(5): 480-486 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1107

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