Design of EL defect detection system for photovoltaic power station modules

Author:

Li Na,Fan Tao,Yan Shiqi,Wu Ziang

Abstract

Abstract In recent years, the photovoltaic power generation industry has been vigorously promoted and developed, while the solar cell as its core component may have micro-crack defects, which directly affect the power generation efficiency and stability of the photovoltaic system. Therefore, it is necessary to adopt a low-cost, efficient and flexible method to detect defects in solar cells. At present, most of the existing micro-cracks detection is carried out in the laboratory, and there is no EL micro-cracks detection in the actual photovoltaic power station. The main purpose of this paper is to design a set of EL defect detection system that can be used for actual photovoltaic power station modules, which is different from the traditional laboratory-level or module-level defect detection, and to carry the designed detection algorithm to the integrated device to operate. Experiments have shown that the system can perform real-time detection of photovoltaic module defects based on the string level, which improves the detection efficiency while saving time and cost, and shows good performance.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference26 articles.

1. Impact of increased penetration of photovoltaic generation on power systems;Eftekharnejad;IEEE Transactions on Power Systems,2013

2. Detection and analysis of micro-cracks in multi-crystalline silicon wafers during solar cell production;Demant,2011

3. Impact of Cracks in Multicrystalline Silicon Solar Cells on PV Module Power—A Simulation Study Based on Field Data;Morlier,2015

4. Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters;Spataru,2016

5. Weakly Supervised Segmentation of Cracks on Solar Cells Using Normalized Lp Norm;Mayr,2019

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