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Statistical analysis of I-V curve parameters from photovoltaic modules

机译:光伏组件I-V曲线参数的统计分析

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The performance of a photovoltaic (PV) system depends on several factors, such as the solar radiation availability and its spectral distribution, the PV module temperature, soiling, cable losses, PV power degradation over time and so forth. An important factor that also affects the PV array power is the mismatch loss due to the differences between single modules, since is inherent to the manufacturing process certain variability in the I-V curve parameters. The manufacturing technology of PV modules has improved considerably, resulting in higher efficiencies and better quality control process, which enabled a lower maximum power tolerance range of PV modules available in the market. The actual shape of the statistical distribution of the main electrical parameters is necessary to evaluate the mismatch losses using simulation software, and also to verify if a new selection of PV modules besides the one performed by the manufacturer is relevant. In order to analyze these topics, a statistical study was carried out based on data obtained from I-V curve measurements of 105 multicrystalline PV modules with the same nominal characteristics. The measurements were performed in a pulsed solar simulator in standard test conditions. The descriptive statistics were obtained for each main electrical parameter and the best probability density function that describes the parameters dispersion was determined. The results show that the maximum power, the maximum power voltage and the open circuit voltage are preferably represented by a Burr probability density function, however a normal distribution is adequate as well. The short circuit current, the maximum power current and the fill factor are actually described by a two parameter Weibull distribution. In order to analyze the effects of the mismatch losses in arrays, several I-V curves of strings with 10 PV modules randomly selected from the sample were synthesized and compared to strings of modules sorted by the maximum power current value. The advantage of performing a new selection of PV modules with better current match was not relevant in comparison to random strings. The selection performed at the factory for a PV module with the same nominal power is sufficient to prevent considerably mismatch losses considering that the PV modules were sorted using standard procedures. (C) 2016 Elsevier Ltd. All rights reserved.
机译:光伏(PV)系统的性能取决于几个因素,例如太阳辐射的可用性及其光谱分布,PV模块的温度,污染,电缆损耗,PV功率随时间下降等。也影响PV阵列功率的一个重要因素是由于单个模块之间的差异引起的失配损耗,因为这是制造过程所固有的IV曲线参数中的某些可变性。光伏组件的制造技术已得到显着改善,从而提高了效率并改善了质量控制流程,从而降低了市场上可用的光伏组件的最大功率公差范围。主要电气参数统计分布的实际形状对于使用仿真软件评估失配损耗以及验证除制造商执行的光伏模块的新选择是否相关外是必要的。为了分析这些主题,基于从105个具有相同标称特性的多晶硅光伏组件的I-V曲线测量获得的数据进行了统计研究。测量是在标准测试条件下的脉冲太阳模拟器中进行的。获得了每个主要电气参数的描述性统计量,并确定了描述参数离散度的最佳概率密度函数。结果表明,最大功率,最大功率电压和开路电压优选地由伯尔概率密度函数表示,但是正态分布也足够。短路电流,最大功率电流和填充系数实际上由两个参数的威布尔分布来描述。为了分析阵列中失配损耗的影响,合成了从样品中随机选择的10个PV模块的串的几条I-V曲线,并将其与按最大功率电流值排序的模块串进行了比较。与随机串相比,执行新选择的具有更好电流匹配的PV模块的优势并不重要。考虑到PV模块是使用标准程序分类的,在工厂对具有相同标称功率的PV模块进行的选择足以防止相当大的失配损耗。 (C)2016 Elsevier Ltd.保留所有权利。

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