Study on smoothing effects of PV outputs — Method with autocorrelation function

K. Kikuchi, T. Nanahara
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引用次数: 3

Abstract

Photovoltaic power generation systems (PVs) are significantly increasing in recent years. On the other hand, large-scale penetration of PVs causes concerns in keeping supply-and-demand balance of a power system because output power of PVs shows considerable fluctuations due to weather conditions. To assess the impacts on the balance, fluctuation characteristics of PVs should be examined for the case of large-scale penetration of PVs. Since the fluctuations of total output of many PVs dispersed across an area are dominated by smoothing effects, it is essential to figure out the factors that govern the smoothing effects. This paper proposes a method to analyze solar irradiance data with an autocorrelation function to examine their fluctuation characteristic. Applying the method to the solar irradiance data measured at an observation site within one kilometer for four seasons, the paper discusses the relationship between the fluctuations of solar irradiances and the smoothing effects. The results implicate that horizontal scale of clouds governs the smoothing effects.
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光伏发电输出平滑效应的研究——自相关函数法
近年来,光伏发电系统(pv)正在显著增加。另一方面,由于光伏的输出功率受天气条件的影响会出现较大的波动,光伏的大规模普及给电力系统的供需平衡带来了担忧。为了评估对平衡的影响,在pv大规模渗透的情况下,应该研究pv的波动特征。由于分散在一个区域内的许多pv的总产出波动受平滑效应支配,因此有必要找出控制平滑效应的因素。本文提出了一种用自相关函数分析太阳辐照度数据的方法,以考察其波动特性。将该方法应用于一个观测点1公里以内的4个季节的太阳辐照度数据,讨论了太阳辐照度波动与平滑效应之间的关系。结果表明,云的水平尺度决定了平滑效果。
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