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Mathematical approximation of the production of a photovoltaic system

机译:光伏系统生产的数学近似

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The production data of solar systems are well described by their density and distribution function. However, the mathematical description of this empirical curve is not known in closed form. So as to define the distributions, they should be approximated with special distributions. As the incident solar irradiation to the surface of photovoltaic modules can be approached with Beta-distribution, the daily average production, total daily production and the daily maximum values can be reached with that distribution as well. However, to define the parameters of a special mathematical distribution, significant resources are required. A great number of calculation software for engineers can assist the empirical density function to be adjusted by special distributions so that the parameters are displayed as the result of the calculation. Awareness of these parameters can help determine the empirical curve approximation, and the goodness of approximation can be measured with pre-defined error indicators. In this study the electricity production of photovoltaic systems, placed in different parts of Hungary, was examined from different aspects. The approximation of empirical density- and distribution functions, received from the defined aspects, with Beta-distribution has proven to have appropriate accuracy, since the error indicators in most cases were found to have a very low value.
机译:通过密度和分布函数可以很好地描述太阳能系统的生产数据。但是,该经验曲线的数学描述以封闭形式未知。为了定义分布,应使用特殊分布对其进行近似。由于可以通过Beta分布来接近入射到光伏组件表面的太阳辐射,因此,该分布也可以达到日平均产量,日总产量和日最大值。但是,要定义特殊数学分布的参数,需要大量资源。大量的工程师计算软件可以通过特殊分布来帮助调整经验密度函数,从而将参数显示为计算结果。了解这些参数可以帮助确定经验曲线的近似值,并且可以使用预定义的误差指标来衡量近似值的优劣。在这项研究中,从不同方面检查了位于匈牙利不同地区的光伏系统的电力生产。从定义的方面接收到的经验密度和分布函数与Beta分布的近似值已被证明具有适当的准确性,因为在大多数情况下,误差指标的值非常低。

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