Abstract This paper presents a comparative analysis of the performance of three grid-connected photovoltaic power plants, of about 2kWp for each plant, using the principal component analysis (PCA) method. These systems include three silicon technologies. The analysis is based on the performance parameters described in the international standard IEC 61724. To perform this comparative analysis, the energy production, the operational and the meteorological data are first collected for a period of time. The performance evaluation of PV plants is then performed based on several performance indicators such as Final Yield, Performance Ratio, System Losses, Capture Losses, Array Efficiency and Capacity Factor. Using the PCA method, the correlation between the performance parameters and the meteorological variables is then studied and analyzed. The resulting analysis shows that the Polycrystalline silicon technology is the most performing one. The annual average values of the Performance Ratio were found to be 86.66% for the polycrystalline against 84.76% and 83%, for the monocrystalline and amorphous, respectively. For the daily data, the PCA method reveals that the Performance Ratio is independent of the solar irradiation but it has a slight correlation with temperature and System Losses and a strong correlation with Capture Losses. The result shows also that the temperature acts slightly on the amorphous compared to the crystalline ones.

中文翻译：

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使用主成分分析法的三个光伏电站性能分析

摘要 本文采用主成分分析（PCA）方法对三个并网光伏电站的性能进行比较分析，每个电站约2kWp。这些系统包括三种硅技术。该分析基于国际标准 IEC 61724 中描述的性能参数。为了进行这种比较分析，首先要收集一段时间内的能源生产、运营和气象数据。光伏电站的性能评估是根据几个性能指标进行的，如最终产量、性能比、系统损耗、捕获损耗、阵列效率和容量因子。然后使用PCA方法研究和分析性能参数与气象变量之间的相关性。结果分析表明，多晶硅技术是性能最好的一种。发现多晶的性能比的年平均值为 86.66%，而单晶和非晶分别为 84.76% 和 83%。对于日常数据，PCA 方法显示性能比与太阳辐射无关，但它与温度和系统损耗有轻微的相关性，与捕获损耗有很强的相关性。结果还表明，与结晶相比，温度对非晶的影响很小。分别。对于日常数据，PCA 方法显示性能比与太阳辐射无关，但它与温度和系统损耗有轻微的相关性，与捕获损耗有很强的相关性。结果还表明，与结晶相比，温度对非晶的影响很小。分别。对于日常数据，PCA 方法显示性能比与太阳辐射无关，但它与温度和系统损耗有轻微的相关性，与捕获损耗有很强的相关性。结果还表明，与结晶相比，温度对非晶的影响很小。