RESEARCH AND FORECASTING ANALYSIS OF BLADE LOAD CORRELATION BASED ON COPULA FUNCTION

Bao Daorina; Gao Fan; Wang Peng; Zhang Shaohua; Han Feng

doi:10.19912/j.0254-0096.tynxb.2023-0067

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (12) : 323-329. DOI: 10.19912/j.0254-0096.tynxb.2023-0067

RESEARCH AND FORECASTING ANALYSIS OF BLADE LOAD CORRELATION BASED ON COPULA FUNCTION

Bao Daorina¹, Gao Fan¹, Wang Peng¹, Zhang Shaohua², Han Feng³

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Abstract

In this paper, a Copula function model of wind speed-load is established for the correlation between wind speed and blade load, and a prediction method based on Copula function is proposed and the blade load is predicted. The correlation is modeled and the goodness-of-fit test is performed with the load data from wind tunnel tests of small and medium-sized variable pitch wind turbines, and the load is predicted by the prediction model, and the validity of the prediction effect is verified by the significance test. Take the 1.5 kW wind turbine blade load test data as an example to verify the proposed method. The results show that, based on the accurate analysis of wind speed and blade load correlation, the prediction model established by Copula function can effectively predict the blade load.

Key words

wind turbines / blades / wind speed / correlation / Copula function / load forecast

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Bao Daorina, Gao Fan, Wang Peng, Zhang Shaohua, Han Feng. RESEARCH AND FORECASTING ANALYSIS OF BLADE LOAD CORRELATION BASED ON COPULA FUNCTION[J]. Acta Energiae Solaris Sinica. 2023, 44(12): 323-329 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0067

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