HPO-CATBOOST BASED FAULT DIAGNOSIS MODEL FOR PV ARRAYS

Peng Ziran; Xu Huaishun; Xiao Shenping; Xiao Mansheng

doi:10.19912/j.0254-0096.tynxb.2024-0409

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (7) : 663-673. DOI: 10.19912/j.0254-0096.tynxb.2024-0409

Special Topics of Academic Papers at the 98th Annual Meeting of the China Association for Science and Technology

HPO-CATBOOST BASED FAULT DIAGNOSIS MODEL FOR PV ARRAYS

Peng Ziran^1,2, Xu Huaishun^1,2, Xiao Shenping^1,2, Xiao Mansheng³

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Abstract

Aiming at the problems of low accuracy, poor model performance and low utilization of photovoltaic （PV） I-V curve data in traditional PV array fault diagnosis methods, this study proposes a PV array fault diagnosis model based on HPO-CatBoost. Firstly, the PV array model is used to deeply study the effects of short circuit, open circuit, aging, shading and environmental factors （temperature, irradiance） on the changes of I-V curves and systematically analyze their output characteristics and fault causes. Secondly, the problem of prediction bias due to target leakage in CatBoost is solved by Ordered TS coding to improve the generalization ability of the diagnostic model. Finally, the performance of CatBoost model is affected by some hyperparameters, so it is proposed to use hunter-prey optimizer （HPO） to optimize the key hyperparameters of the model （number of trees, tree depth and learning rate, etc.） to further improve its performance in fault diagnosis, and analyze the operation results and the experimental data of the actual PV platform. The experimental results show that the diagnostic accuracy of the model is 99.5%, and the overall accuracy of the model is improved by 3.4% compared to the CatBoost model before optimization..

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photovoltaic array / fault diagnosis / I-V curve / CatBoost / hunter-prey optimizer

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Peng Ziran, Xu Huaishun, Xiao Shenping, Xiao Mansheng. HPO-CATBOOST BASED FAULT DIAGNOSIS MODEL FOR PV ARRAYS[J]. Acta Energiae Solaris Sinica. 2025, 46(7): 663-673 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0409

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