Reduction of solar photovoltaic system output variability with geographical aggregation

M.R. Aldeman , J.H. Jo , D.G. Loomis , B. Krull
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Abstract

Variable power outputs are one of the largest challenges facing the widespread adoption of renewable energy systems. The inherent variability of solar resources makes it challenging to integrate large amounts of solar energy into the electric grid. However, the weather factors that influence solar production are often local in nature. In this study, eleven solar photovoltaic systems with publicly available historical data were identified for analysis. The systems are located within a circle with a diameter of approximately 130 km. The historical power output data for each system were acquired, and quality control measures were applied. A comparison is made between the variability of the time-varying power output from individual systems compared to the variability of the aggregated output of the eleven systems combined. Next, the effect of increasing the geographical spread of the aggregated systems is investigated. This is done by comparing the variability of the aggregated time-varying power output from closely-spaced systems against the variability of the aggregated time-varying power output from systems spread out over a large geographical area. Next, the correlations between the outputs from each of the individual systems are explored. The data show that the correlation decreases by approximately 0.1 for each 80 km of separation distance. Finally, the historical solar output data is used to define the “expected output”, and the deviation from this expected output is compared for individual systems and various sets of aggregated systems. The four aggregated systems located far apart are 31% more likely to have a combined output that is close to their expected output, defined as having a normalized power output deviation less than or equal to 0.2 kW/kW. Furthermore, the four aggregated systems located far apart are 54% less likely to have a combined output that is significantly different from their expected output, defined as having a normalized power output deviation greater than or equal to 0.4 kW/kW.

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利用地理聚集降低太阳能光伏系统的输出可变性
可变功率输出是可再生能源系统广泛采用所面临的最大挑战之一。太阳能资源的固有可变性使得将大量太阳能整合到电网中具有挑战性。然而,影响太阳能生产的天气因素往往是当地性质的。在这项研究中,确定了11个具有公开历史数据的太阳能光伏系统进行分析。这些系统位于一个直径约130公里的圆圈内。获取了每个系统的历史功率输出数据,并采取了质量控制措施。在来自单独系统的时变功率输出的可变性与组合的十一个系统的合计输出的可变性之间进行比较。接下来,研究了增加聚合系统的地理分布的影响。这是通过将来自紧密间隔的系统的聚合时变功率输出的可变性与来自分布在大地理区域上的系统的聚集时变功率输出来的可变性进行比较来实现的。接下来,探究每个单独系统的输出之间的相关性。数据显示,对于每80公里的分离距离,相关性降低约0.1。最后,使用历史太阳能输出数据来定义“预期输出”,并比较单个系统和各种集合系统与该预期输出的偏差。相距较远的四个聚合系统的组合输出接近其预期输出的可能性高31%,定义为具有小于或等于0.2kW/kW的归一化功率输出偏差。此外,相距较远的四个聚合系统具有与它们的预期输出显著不同的组合输出的可能性降低54%,该组合输出被定义为具有大于或等于0.4kW/kW的归一化功率输出偏差。
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