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USING HIGH RESOLUTION SOLAR MEASUREMENT IN PV VARIABILITY STUDIES

机译:在光伏变异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影响到达地球表面的太阳能。这些大气成分中的每一个都具有自身的时间和空间变异性规模,并且它们反过来影响到达地球表面的太阳辐射量的变化。这种大气成分的这种综合影响及其单独的可变性特性使太阳能变异性建模复杂的任务。从光伏(PV)发电厂的输出取决于到达表面的太阳能量。因此,太阳辐射的可变性导致光伏工厂输出的可变性。由于实用规模光伏工厂在线上网并增加尺寸,PV植物产量的变异性在过去几年中变得重要。理解光伏工厂输出的可变性需要了解(a)太阳辐射的空间和时间变化; (b)这种太阳能变异性对光伏工厂产量的影响。本文的目标是了解全球水平辐射(GHI)中变异性的时间和空间尺度对光伏设备很重要,并且需要哪些测量值表征它们。由于太阳辐射测量仪器是点接收器,了解这些测量如何转化为在更大的空间范围内接收的能量是很重要的。同样重要的是变异性的时间性,其特征在于地面上的单点,但在大型空间区域。在本研究中,我们使用多时间同步的太阳辐射传感器的高时和空间分辨率测量,以使用各种插值技术在各种空间和时间尺度的太阳辐射场。然后使用这些太阳能字段为各种尺寸的PV工厂创建工厂电源输出。随着各种插值方案可以产生不同的分布,我们研究了插值方案对GHI和功率输出分布的影响。虽然光伏工厂的电源输出是一个重要的数量,但功率的时间变异性是对公用事业的关注问题。在本文中,我们展示了PV植物输出如何在不同的时间尺度上变化。

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