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Simulation of regional day-ahead PV power forecast scenarios

机译:区域日前光伏发电预测方案的仿真

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Uncertainty associated with Photovoltaic (PV) generation can have a significant impact on real-time planning and operation of power systems. This obstacle is commonly handled using multiple forecast realizations, obtained using for example forecast ensembles and/or probabilistic forecasts, often at the expense of a high computational burden. Alternatively, some power system applications may require realistic forecasts rather than actual estimates; able to capture the uncertainty of weather-driven generation. To this end, we propose a novel methodology to generate day-ahead forecast scenarios of regional PV production matching the spatio-temporal characteristics while preserving the statistical properties of actual records.
机译:与光伏(PV)发电相关的不确定性可能对电力系统的实时规划和运行产生重大影响。通常使用多个预测实现来处理该障碍,例如,通过使用预测集合和/或概率预测来获得该预测实现,但往往要付出高计算量。或者,某些电力系统应用程序可能需要实际的预测,而不是实际的估计。能够捕获由天气驱动的发电的不确定性。为此,我们提出了一种新颖的方法来生成与时空特征相匹配的区域光伏生产的日前预测情景,同时保留实际记录的统计属性。

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