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USING HIGH RESOLUTION SOLAR MEASUREMENT IN PV VARIABILITY STUDIES

机译:在光伏可变性研究中使用高分辨率太阳能测量

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Clouds, aerosols, water vapor and other atmospheric constituents influence solar energy reaching the earth's surface. Each of these atmospheric constituents has it's own inherent scale of temporal and spatial variability and they in turn influence the variability in the amount of solar radiation reaching the earth's surface. This combined influence of the atmospheric constituents and their separate variability characteristics makes solar variability modeling a complicated task.Output from photovoltaic (PV) power plants is dependent on the amount of solar energy reaching the surface. Therefore variability in solar radiation results in variability in PV plant output. The issue of variability in PV plant output has become important in the last couple of years as utility scale PV plants go online and increase in size. Understanding variability in PV plant output requires an understanding of (a) the spatial and temporal variability of solar radiation; (b) the influence of this solar variability on PV plant output.The goal of this paper is to understand what temporal and spatial scales of variability in Global Horizontal Radiation (GHI) are important to a PV plants and what measurements are needed to be able to characterize them. As solar radiation measuring instruments are point receivers it is important to understand how those measurements translate to energy received over a larger spatial extent. Also of importance is the temporal nature of variability characterized not at a single point on the ground but over large spatial areas. In this research we use high temporal and spatial resolution measurements from multiple time synchronized solar radiation sensors to create solar radiation fields at various spatial and temporal scales using a wide range of interpolation techniques. These solar fields are then used to create plant power output for various size PV plants. As various interpolation schemes can produce different distributions we investigate the impact of interpolation schemes on GHI and power output distribution. While power output from PV plants is an important quantity the temporal variability of power is a matter of concern to utilities. In this paper we show how PV plant output varies across different time scales.
机译:云,气溶胶,水蒸气和其他大气成分会影响到达地球表面的太阳能。这些大气成分中的每一个都有其自身固有的时间和空间可变性尺度,它们反过来会影响到达地球表面的太阳辐射量的可变性。大气成分及其各自的可变性特征的综合影响使得对太阳能可变性进行建模成为一项复杂的任务。光伏(PV)发电厂的输出取决于到达地表的太阳能量。因此,太阳辐射的可变性导致光伏电站输出的可变性。在过去的几年中,随着公用事业规模的光伏电站上线并扩大规模,光伏电站输出的可变性问题变得越来越重要。要了解光伏电站输出的可变性,需要了解以下内容:(a)太阳辐射的时空可变性; (b)这种太阳能可变性对光伏电站输出的影响。本文的目的是了解全球水平辐射(GHI)的可变性在时间和空间上对光伏电站至关重要,需要进行哪些测量才能表征它们。由于太阳辐射测量仪器是点接收器,因此重要的是要了解这些测量如何转换为更大空间范围内接收到的能量。同样重要的是,变异性的时间特性不是在地面上的单个点上而是在较大的空间区域上表征的。在这项研究中,我们使用来自多个时间同步太阳辐射传感器的高时空分辨率测量值,使用广泛的插值技术来创建各种时空尺度的太阳辐射场。然后,这些太阳能场用于为各种规模的光伏电站产生电站功率输出。由于各种插值方案可以产生不同的分布,因此我们研究了插值方案对GHI和功率输出分布的影响。尽管光伏电站的功率输出非常重要,但功率的时间变化却是公用事业关注的问题。在本文中,我们展示了光伏电站的输出如何在不同的时间范围内变化。

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