RESEARCH ON WIND POWER BLADE FRACTURE WARNING BASED ON NEST MODEL

Chang Li; Wang Suisui; Zhou Bo; Li Hui

doi:10.19912/j.0254-0096.tynxb.2023-1659

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (2) : 600-606. DOI: 10.19912/j.0254-0096.tynxb.2023-1659

RESEARCH ON WIND POWER BLADE FRACTURE WARNING BASED ON NEST MODEL

Chang Li¹, Wang Suisui¹, Zhou Bo², Li Hui³

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Abstract

In order to solve the problem of non-destructive monitoring and early warning of wind power blade breakage, a method of monitoring and early warning of wind power blade breakage was proposed based on monitoring control and data acquisition system and nonlinear state estimation technology. Firstly, it was proposed to screen parameters through Chi-square test and error contribution rate analysis, which involved dimensionality reduction and redundancy reduction of SCADA data to obtained SCADA parameters related to blade operation status.Then, NSET was used to fuse the selected parameters, and the blade fracture was judged by the similarity curve of modeling output. Finally, the blade fracture data of 1.5 MW wind turbine in a wind farm was used to verify the effectiveness of the method and the fracture warning threshold was determined.When the similarity reaches 0.26, the blade fracture warning can be conducted 3.93 h in advance.The experimental results show that the proposed method can effectively nondestructive monitoring of blade breakage, and provide a reference for the early warning threshold of wind power blade breakage.

Key words

Chi-square test / nonlinear state estimate / wind turbine blade / fracture monitoring / SCADA / non-destructive testing

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Chang Li, Wang Suisui, Zhou Bo, Li Hui. RESEARCH ON WIND POWER BLADE FRACTURE WARNING BASED ON NEST MODEL[J]. Acta Energiae Solaris Sinica. 2025, 46(2): 600-606 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1659

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