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Energies 2017, 10(5), 699;

Photovoltaic Array Fault Detection by Automatic Reconfiguration

†,* ,
School of Computer Science and Engineering, Northeastern University, Shenyang 116024, China
Current address: No. 195, Chuangxin Road, Hunnan District, Shenyang 116024, China
Author to whom correspondence should be addressed.
Academic Editors: Senthilarasu Sundaram and Tapas Mallick
Received: 8 February 2017 / Revised: 9 May 2017 / Accepted: 10 May 2017 / Published: 16 May 2017
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Photovoltaic (PV) system output electricity is related to PV cells’ conditions, with the PV faults decreasing the efficiency of the PV system and even causing a possible source of fire. In industrial production, PV fault detection is typically laborious manual work. In this paper, we present a method that can automatically detect PV faults. Based on the observation that different faults will have different impacts on a PV system, we propose a method that systematically and iteratively reconfigures the PV array until the faults are located based on the specific current-voltage (I-V) curve of the (sub-)array. Our method can detect several main types of faults including open-circuit faults, mismatch faults, short circuit faults, etc. We evaluate our methods by Matlab/Simulink-based simulation. The results show that the proposed methods can accurately detect and classify the different faults occurring in a PV system. View Full-Text
Keywords: photovoltaic; TCT; reconfiguration; I-V curve; fault detection photovoltaic; TCT; reconfiguration; I-V curve; fault detection

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Ji, D.; Zhang, C.; Lv, M.; Ma, Y.; Guan, N. Photovoltaic Array Fault Detection by Automatic Reconfiguration. Energies 2017, 10, 699.

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