Extracting parameters from semi-log plots of polycrystalline silicon PV modules outdoor I–V data: Double-exponential model revisited

G. Yordanov, O. Midtgård, Tor Oskar Saetre1
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引用次数: 10

Abstract

This paper presents a method for extracting physically meaningful parameters from measured I–V curves of PV modules. The 7-parameter double-exponential model is applied in the modeling. The method is based on linear fitting of semi-logarithmic plots. The paper demonstrates a new technique to estimate the series resistance of a module with high accuracy from such plots. As a result, also the reverse saturation current and the quality factor of the diffusion diode can be determined. The method is applied to outdoor I–V data from a test station with three similar, but not identical, polycrystalline-Si modules. The values of the series resistances found with this method deviate somewhat from the values found by indoor measurements by an independent laboratory. The quality factors of the diffusion diodes were in this case found to be somewhat larger than 1, indicating a good, but not perfect quality of the material.
多晶硅光伏组件户外I-V数据半对数图参数提取:双指数模型的再探讨
本文提出了一种从光伏组件测得的I-V曲线中提取有物理意义参数的方法。采用7参数双指数模型进行建模。该方法基于半对数图的线性拟合。本文给出了一种新的方法,可以根据这些图准确地估计出模块的串联电阻。由此还可以确定扩散二极管的反向饱和电流和质量因数。该方法应用于室外I-V数据来自一个试验站的三个相似但不相同的多晶硅模块。用这种方法得到的串联电阻值与独立实验室室内测量得到的值有些偏差。在这种情况下,发现扩散二极管的质量因子略大于1,表明材料的质量良好,但不是完美的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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