具有电位诱导退化(PID)的光伏模块红外图像与监测的串功率输出相关

C. Buerhop, Tobias Pickel, Tiberius Blumberg, J. Adams, Simon Wranå, Manuel Dalsass, Cornelia Zetzmann, C. Camus, J. Hauch, C. Brabec
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引用次数: 8

摘要

许多光伏电站遭受潜在诱导退化(PID),这导致安装的光伏模块功率严重下降。快速可靠的PID检测方法和评估对模块性能的影响变得越来越重要。无人机辅助红外检测是一种合适的方法。受PID影响的模块通过其特征ir指纹来检测,具有不同数量微热电池的模块在负串端出现的频率更高。这些模块显示出退化的iv曲线,降低的Voc和Isc,电致发光(EL)图像中有可疑的深色细胞。此外,测量的串功率也降低了。对于第一次定量数据评估,可疑细胞在红外图像中被计数并与模块功率相关。随着可疑细胞数量的增加,模块功率呈线性下降。推导出一个估计模块功率的相关函数,其平均偏差小于7%。这个相关函数允许一个可接受的弦功率近似值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IR-images of PV-modules with potential induced degradation (PID) correlated to monitored string power output
Many PV-plants suffer from potential induced degradation (PID) which causes severe power reduction of installed PVmodules. Fast and reliable methods to detect PID and evaluate the impact on the module performance are gaining importance. Drone-assisted IR-inspection is a suitable method. PID affected modules are detected by their characteristic IR-fingerprint, modules with differing number of slightly heated cells occur more frequently at the negative string end. These modules show a degraded IV-curve, lowered Voc and Isc, and electroluminescence (EL)-images with suspicious, dark cells. Also, the measured string power is reduced. For a first quantitative data evaluation the suspicious cell are counted in the IR-images and correlated with the module power. A linear decrease of the module power with increasing number of suspicious cells results. A correlation function for estimating the module power was deduced, which has a mean deviation of less than 7%. This correlation function allows an acceptable approximation of the string power.
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