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Comparative Assessment of PV Plant Performance Models Considering Climate Effects

机译：考虑气候影响的光伏电站绩效模型的比较评估

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摘要

The climate conditions can affect the accuracy of photovoltaic (PV) system performance models that can be used for monitoring and diagnostic purposes. In this paper, an improved energetic physical model has been considered to estimate the power production of PV systems. Specifically, in this model, special attention has been devoted to the modeling of optical losses (IAM losses) and to the inverter efficiency under low-power conditions. A comparative analysis of the proposed model applied to two PV plants installed respectively in the north of Denmark (Aalborg) and in the south of Italy (Agrigento) has been performed. The different ambient, operating and installation conditions allow to understand how these factors impact the precision and effectiveness of such model. The experimental results show that the proposed model allows us to have a good estimation of AC power in terms of Relative Mean Bias Error, normalized Root-Mean-Square Error, and the Correlation Coefficient. Further in order to have the possibility to analyze and compare the performance of the studied PV plants with others, the efficiency of the systems has been estimated by both Performance Ratio and Corrected Performance Ratio.
机译：气候条件会影响可用于监视和诊断目的的光伏（PV）系统性能模型的准确性。在本文中，已经考虑了一种改进的能量物理模型来估算光伏系统的发电量。具体而言，在该模型中，特别关注了光损耗（IAM损耗）的建模以及低功率条件下的逆变器效率。对建议的模型进行了比较分析，该模型分别应用于分别安装在丹麦北部（奥尔堡）和意大利南部（阿格里真托）的两个光伏电站。不同的环境，操作和安装条件可以了解这些因素如何影响此类模型的精度和有效性。实验结果表明，提出的模型可以使我们从相对平均偏差误差，归一化均方根误差和相关系数的角度对交流功率进行良好的估计。此外，为了有可能分析和比较所研究的光伏电站的性能与其他光伏电站的性能，已通过性能比和修正的性能比来估算系统的效率。

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