Abstract—

Calculations are made and energy parameters are compared for the actual operation data of three network photovoltaic power plants built in Russia by JSC Solar Systems. As the initial data for the calculations, the daily amounts of solar radiation and ambient temperature taken from the databases of NASA POWER, Meteonorm, and ERA5 have been used. The calculations have been carried out using a TRNSYS simulation environment, a specialized PVSyst engineering software package, and a HOMER Pro software package. In addition, we have used calculations based on a simplified technique including a linearized dependence of the photovoltaic module power on insolation and temperature implemented by means of Microsoft Excel. In all cases, we considered the efficiency of the network inverter depending on the transmitted power and the operating parameters of the module depending on the temperature. The results using each method have shown a good agreement with the actual output of photovoltaic power plants for the considered time periods. The best coincidence was observed for the case of TRNSYS, although the results vary depending on the source of the initial climatic data. Based on a simplified technique, an analysis performed concerning the output sensitivity with respect to the inverter efficiency factor and with respect to the temperature dependence of the power of photovoltaic modules showing that the method taking into account the ambient temperature makes a considerable contribution to the error of the results. The calculation results demonstrate that one could use engineering methods with a linear approximation of the photovoltaic module power depending on insolation and temperature in order to estimate the output of network power plants; however, of great importance is choosing the initial climatic data.

中文翻译：

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网络光伏电站仿真模型的比较分析

摘要—

JSC Solar Systems在俄罗斯建造的三个网络光伏电站的实际运行数据进行了计算并比较了能源参数。作为计算的初始数据，已使用了每天从NASA POWER，Meteonorm和ERA5数据库中获得的太阳辐射量和环境温度。使用TRNSYS仿真环境，专用的PVSyst工程软件包和HOMER Pro软件包进行了计算。另外，我们使用基于简化技术的计算，包括通过Microsoft Excel实施的光伏模块功率对日照和温度的线性相关性。在所有情况下，我们考虑了网络逆变器的效率取决于发射功率，而模块的工作参数取决于温度。在考虑的时间段内，每种方法的结果均与光伏电站的实际输出显示出良好的一致性。尽管结果根据初始气候数据的来源而有所不同，但在TRNSYS的情况下观察到了最佳的重合。基于简化技术，对逆变器效率因数和光伏模块电源的温度依赖性的输出灵敏​​度进行了分析，结果表明，考虑环境温度的方法对误差的影响很大。结果。计算结果表明，可以使用一种工程方法，根据日照和温度对光伏组件的功率进行线性逼近，以估算网络发电厂的输出。然而，非常重要的是选择初始气候数据。