GROUND FAULT DIAGNOSIS OF PHOTOVOLTAIC ARRAYS BASED ON IMPROVED CUCKOO SEARCH-SUPPORT VECTOR MACHINES

Zhao Jingying; Li Bicheng; Wu Jingjing; Liu Jianmeng

doi:10.19912/j.0254-0096.tynxb.2024-1289

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (11) : 363-373. DOI: 10.19912/j.0254-0096.tynxb.2024-1289

GROUND FAULT DIAGNOSIS OF PHOTOVOLTAIC ARRAYS BASED ON IMPROVED CUCKOO SEARCH-SUPPORT VECTOR MACHINES

Zhao Jingying¹, Li Bicheng¹, Wu Jingjing¹, Liu Jianmeng²

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Abstract

The line-ground faults, unipolar grounding and rainy day grounding faults that tend to occur in photovoltaic arrays in complex environments are investigated. In view of the ineffective detection of line-ground faults under low irradiance or high mismatch ratio, the variation patterns of key parameters based on the multi-irradiance modes are proposed, and the rightmost power peak voltage VRPP, the rightmost power peak current IRPP are determined as the feature quantities of line-ground faults. The voltage correlation between faulted and non-faulted poles is analysed by Pearson correlation coefficient to determine the feature quantity of unipolar grounding fault. In view of the mechanism of common mode current generated by rainy day grounding fault, the fault feature quantity is proposed based on wavelet transform and total harmonic distortion rate. Finally, the ground fault diagnosis model of PV array based on improved cuckoo search algorithm optimised support vector machines （ICS-SVM） is constructed, and the validity of the proposed ground fault feature, the diagnostic accuracy and convergence speed of the model are confirmed by simulation and experimental validation under different irradiance levels on sunny and rainy days.

Key words

photovoltaics / grounding / fault diagnosis / support vector machines / feature extraction / mismatch

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Zhao Jingying, Li Bicheng, Wu Jingjing, Liu Jianmeng. GROUND FAULT DIAGNOSIS OF PHOTOVOLTAIC ARRAYS BASED ON IMPROVED CUCKOO SEARCH-SUPPORT VECTOR MACHINES[J]. Acta Energiae Solaris Sinica. 2025, 46(11): 363-373 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1289

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