PHOTOVOLTAIC ARRAY FAULT DETECTION METHOD BASED ON TIME SERIES EVOLUTION CHARACTERISTICS OF HOT SPOTS

Han Mingxuan; Dong Hongzhao; She Yini; Chen Weifeng

doi:10.19912/j.0254-0096.tynxb.2024-0494

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (8) : 269-277. DOI: 10.19912/j.0254-0096.tynxb.2024-0494

PHOTOVOLTAIC ARRAY FAULT DETECTION METHOD BASED ON TIME SERIES EVOLUTION CHARACTERISTICS OF HOT SPOTS

Han Mingxuan¹, Dong Hongzhao¹, She Yini¹, Chen Weifeng²

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Abstract

Traditional offline photovoltaic fault diagnosis methods that rely on I-V characteristics suffer from problems such as complex modeling and high costs, while online artificial intelligence detection methods are plagued by poor interpretability and sensitivity to datasets. Aiming at these problems and shortcomings, a new photovoltaic array fault detection method （heat spot timing feature, HSTF） based on the time series evolution characteristics of hot spots is proposed. The real photovoltaic platform is used to carry out the occlusion experiment to obtain the I-V output characteristic curve of the component under different hot spot fault degrees. The equivalent circuit model is established to simulate the output characteristics of the photovoltaic array under different hot spot degrees, and the input feature vector of the fault diagnosis method is constructed together. Then, the LightGBM-DBO model is constructed to train the obtained data set, and a photovoltaic array fault detection model integrating the temporal evolution characteristics of hot spots is established. The photovoltaic platform occlusion experiment is used to verify the performance of the model. The method is compared with other detection algorithms such as traditional neural network algorithm and decision tree algorithm to verify the accuracy and reliability of the method.

Key words

solar cells / fault detection / current voltage characteristics / feature extraction / hot spot

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Han Mingxuan, Dong Hongzhao, She Yini, Chen Weifeng. PHOTOVOLTAIC ARRAY FAULT DETECTION METHOD BASED ON TIME SERIES EVOLUTION CHARACTERISTICS OF HOT SPOTS[J]. Acta Energiae Solaris Sinica. 2025, 46(8): 269-277 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0494

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