Abstract

With the growing interest in solar (photovoltaic) PV systems like standalone or grid connected, rooftop or building integrated it has become important to provide the solution for site dependent performance of the system. Since drop in voltage is more sensitive to temperature rather than rising in current, hence module temperature is key parameter to be determined accurately in order to decide the size the of the module as well overall PV size. This voltage drop also impact the DC string as well as AC side voltage. Several researchers have evaluated the impact of temperature on module performance but since it is site dependent hence an experiment is conducted in Mathura (27.4924° N, 77.6737° E) to observe the impact of module temperature on the performance of the PV system in real climate conditions. The observations are that mean square error (MSE), root mean square error (RMSE), mean bias error (MBE), standard deviation error (SDE) between simulated and experimental energy are minimum in comparison to standard approach which does not include wind effect. More over the size of the system can be reduced from 2.8 to 6% and margin of disconnection from load due to sudden disturbances like passing of clouds over the PV system is 0.14 s (7 cycles) more, provided that module temperature must be determined accurately.

中文翻译：

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光伏组件温度对尺寸和电压稳定性的影响，以印度气候为例

摘要

随着人们对太阳能（光伏）PV系统（例如独立式或并网，屋顶或建筑物集成）的兴趣日益浓厚，为系统的现场性能提供解决方案变得非常重要。由于电压下降对温度更敏感，而不是电流上升，因此模块温度是要确定模块尺寸以及整体PV尺寸的准确确定的关键参数。此电压降还会影响直流串和交流侧电压。几位研究人员评估了温度对组件性能的影响，但由于温度是取决于位置的，因此在Mathura（27.4924°N，77.6737°E）中进行了一项实验，以观察组件温度对实际气候中光伏系统性能的影响条件。观测结果是，与不包含风效应的标准方法相比，模拟能量和实验能量之间的均方误差（MSE），均方根误差（RMSE），均方误差（MBE），标准偏差（SDE）最小。 。可以将系统的尺寸从2.8％减少到6％或更多，并且由于突然的干扰（如云层在PV系统上通过）而导致的与负载的断开裕度为0.14 s（7个循环）以上，前提是必须准确确定模块温度。