PARTIAL SHADOW FAULT DIAGNOSIS OF CRYSTALLINE SILICON PHOTOVOLTAIC MODULE BASED ON S-V CHARACTERISTIC ANALYSIS

Ma Mingyao; Wang Haisong; Ma Wenting; Zhang Zhixiang; Zhang Xing

doi:10.19912/j.0254-0096.tynxb.2020-1397

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (9) : 64-72. DOI: 10.19912/j.0254-0096.tynxb.2020-1397

PARTIAL SHADOW FAULT DIAGNOSIS OF CRYSTALLINE SILICON PHOTOVOLTAIC MODULE BASED ON S-V CHARACTERISTIC ANALYSIS

Ma Mingyao, Wang Haisong, Ma Wenting, Zhang Zhixiang, Zhang Xing

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Abstract

For the widely used crystalline silicon photovoltaic （PV） modules, an accurate simulation model with double diodes of the solar cells is established on Simulink. The most common partial shading faults of PV modules in practical applications are simulated and verified under various working conditions. According to the characteristics of the inflection point, step and the integral area （S） based on the I-V curve, an online partial shading faults diagnosis method of PV modules using the characteristic of S-V curve is proposed. This method establishes the S-V curve of the PV module first, and judges the shading modes of PV modules according to the bifurcation point position of the S-V curve, and further judges the shading ratio by the overall integral area. The temperature and irradiance are normalized to make the method applicable for all working conditions. Combined with the PV module power optimizer, it is verified that the proposed diagnosis method has a high accuracy rate and can accurately estimate the shading area of each PV module.

Key words

PV modules / current voltage characteristics / fault detection / partial shading fault / S-V characteristic

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Ma Mingyao, Wang Haisong, Ma Wenting, Zhang Zhixiang, Zhang Xing. PARTIAL SHADOW FAULT DIAGNOSIS OF CRYSTALLINE SILICON PHOTOVOLTAIC MODULE BASED ON S-V CHARACTERISTIC ANALYSIS[J]. Acta Energiae Solaris Sinica. 2022, 43(9): 64-72 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1397

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