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Model-Based Degradation Analysis of Photovoltaic Modules Through Series Resistance Estimation

机译:基于串联电阻估计的光伏组件基于模型的退化分析

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摘要

The long power production warranties guaranteed by the manufacturers of photovoltaic (PV) modules (25 years) are a vital factor for the economical viability of PV systems. Nevertheless, recent studies have demonstrated that the modules may experience an early degradation, which turns into the reduction of the power production or even the damage of the entire PV module. In this paper, a method aimed at detecting the module degradation is introduced. It detects and quantifies the degradation by means of two indicators, which are aimed at estimating the increment of the modules series resistance, this parameter being one of the most affected by some degradation mechanisms. The increase of the series resistance value is estimated through the evaluation of the error in predicting the position of the maximum power point, which is obtained by comparing the experimental measurements with the single-diode model. The proposed method is experimentally validated, and it is compared with other methods reported in the literature. The results show that the proposed indicators are able to accurately estimate the increments of the series resistance with a low sensitivity to the irradiance and temperature values. This feature improves the accuracy and the reliability of the diagnosis processes and monitoring systems.
机译:光伏(PV)组件制造商保证的长期生产保修(25年)是光伏系统经济可行性的重要因素。尽管如此,最近的研究表明,这些组件可能会过早退化,从而导致发电量减少甚至整个PV组件损坏。本文介绍了一种旨在检测模块退化的方法。它通过两个指标检测和量化退化,这两个指标旨在估算模块串联电阻的增量,该参数是受某些退化机制影响最大的参数之一。串联电阻值的增加是通过评估预测最大功率点位置时的误差来估计的,该误差是通过将实验测量值与单二极管模型进行比较而得出的。该方法在实验上得到了验证,并与文献中报道的其他方法进行了比较。结果表明,所提出的指标能够准确估计串联电阻的增量,并且对辐照度和温度值的灵敏度较低。此功能提高了诊断过程和监视系统的准确性和可靠性。

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