OPEN-CIRCUIT FAULT DIAGNOSIS OF WIND POWER CONVERTER BASED ON LMD ENERGY ENTROY AND LOCATION ANALYSIS

Zhang Ruicheng; Bai Xiaoze; Dong Yan; Di Zhigang; Sun Hexu; Zhang Jingxuan

doi:10.19912/j.0254-0096.tynxb.2022-0257

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (6) : 484-494. DOI: 10.19912/j.0254-0096.tynxb.2022-0257

OPEN-CIRCUIT FAULT DIAGNOSIS OF WIND POWER CONVERTER BASED ON LMD ENERGY ENTROY AND LOCATION ANALYSIS

Zhang Ruicheng¹, Bai Xiaoze¹, Dong Yan², Di Zhigang¹, Sun Hexu³, Zhang Jingxuan^1,4

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Abstract

To improve the accuracy of fault diagnosis of wind power converters, a novel method to diagnose the single and double IGBT modules open-circuit faults of the permanent magnet synchronous generator wind turbines grid-side converter, based on local mean decomposition （LMD） energy entropy and location analysis, is proposed. Primarily, the three-phase output current of the grid-side converter is collected as the original signal, which is adaptively decomposed into multi-layer product function （PF） components using LMD, and the energy entropy characteristics of the PF components in each state are obtained. Afterward, the location analysis is carried out according to the distortion characteristics of the three-phase current time series caused by the open-circuit fault. Finally, the feature vectors of the fused energy entropy features and location parameters are inputted into a stacked sparse auto encoder （SSAE） network for training and fault identification. The simulation and experimental results show that the feature extraction method fused energy entropy features and location analysis is more obvious to address fault features. Compared with other feature extraction methods, the proposed method can effectively improve the fault diagnosis accuracy of the wind power converter.

Key words

wind turbines / converter / fault diagnosis / energy entropy / location analysis / SSAE

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Zhang Ruicheng, Bai Xiaoze, Dong Yan, Di Zhigang, Sun Hexu, Zhang Jingxuan. OPEN-CIRCUIT FAULT DIAGNOSIS OF WIND POWER CONVERTER BASED ON LMD ENERGY ENTROY AND LOCATION ANALYSIS[J]. Acta Energiae Solaris Sinica. 2023, 44(6): 484-494 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0257

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