RESEARCH ON FAULT WARNING OF WIND POWER PITCH SYSTEM BASED ON DATA FUSION

Han Wanli; Mao Dajun; Cai Ye; Shen Xiaofeng; Wang Hui; Zheng Zhen; Lu Poyan

doi:10.19912/j.0254-0096.tynxb.2021-0748

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (12) : 236-241. DOI: 10.19912/j.0254-0096.tynxb.2021-0748

RESEARCH ON FAULT WARNING OF WIND POWER PITCH SYSTEM BASED ON DATA FUSION

Han Wanli¹, Mao Dajun², Cai Ye¹, Shen Xiaofeng¹, Wang Hui¹, Zheng Zhen¹, Lu Poyan¹

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Abstract

With the increasing installed capacity of wind turbines, the disadvantages of low grid-connected generation rate and high unit failure rate have resulted in low overall utilization rate of wind turbines. For this reason, this paper proposes a wind power pitch system early fault warning method based on data fusion. First, combined with the operating statistics and historical data in the SCADA system, the Relief characteristic parameter selection method is used to screen out the characteristic parameters related to the wind power pitch system failure; then the data fusion method is used to establish the wind power pitch system fault prediction model based on the MSET technology and the sliding window method is used to determine the fault warning threshold. Finally, a 1.5 MW doubly-fed asynchronous wind turbine in a wind farm in Shanghai is taken as an example. The results show that this method can detect the fault signs of the wind power pitch system in advance, and realize the early warning of the wind power pitch system failure.

Key words

wind turbines / data fusion / pitch system / MSET / sliding window method / fault warning

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Han Wanli, Mao Dajun, Cai Ye, Shen Xiaofeng, Wang Hui, Zheng Zhen, Lu Poyan. RESEARCH ON FAULT WARNING OF WIND POWER PITCH SYSTEM BASED ON DATA FUSION[J]. Acta Energiae Solaris Sinica. 2022, 43(12): 236-241 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0748

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