Fault Detection and Diagnosis Method of Distributed Photovoltaic Array Based on Fine-Tuning Naive Bayesian Model

Weiguo He, Deyang Yin, Kaifeng Zhang, Xiangwen Zhang and Jianyong Zheng
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Weiguo He: School of Automation, Southeast University, Nanjing 210096, China
Deyang Yin: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Kaifeng Zhang: School of Automation, Southeast University, Nanjing 210096, China
Xiangwen Zhang: China Electric Power Research Institute, Nanjing 210003, China
Jianyong Zheng: School of Electrical Engineering, Southeast University, Nanjing 210096, China

Energies, 2021, vol. 14, issue 14, 1-17

Abstract: With the widespread attention and research of distributed photovoltaic (PV) systems, the fault detection and diagnosis problems of distributed PV systems has become increasingly prominent. To this end, a distributed PV array fault diagnosis method based on fine-tuning Naive Bayes model for the fault conditions of PV array such as open-circuit, short-circuit, shading, abnormal degradation, and abnormal bypass diode is proposed. First, in view of the problem of less distributed PV fault data, a fine-tuning Naive Bayes model (FTNB) is proposed to improve the diagnosis accuracy. Second, the failure sample set is used to train the model. Then, the maximum power point data of the PV inverter and the meteorological data are collected for fault diagnosis. Finally, the effectiveness and accuracy of the proposed method are verified by the analysis of simulation. In addition, this method requires only a small number of fault sample sets and no additional measurement equipment is required, which is suitable for real-time monitoring of distributed PV systems.

Keywords: PV array; fault detection; fault diagnosis; fine-tuning Naive Bayesian model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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