Research on Photovoltaic Consumption Based on Occurrence Probability of Typical Scenarios

Guodong Zheng, Yanhu Ma, Donghui Chen, Zhixiang Sun, Pu Zhang, Yanbo Chen
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Abstract

With the continuous increase in the access of new energy sources such as photovoltaics in the power system, in order to reasonably evaluate the photovoltaic consumption of the power system, this paper proposes a photovoltaic consumption evaluation method that considers the probability of typical scenarios. The method firstly performs cluster analysis on the historical data of photovoltaic output to obtain multiple typical scenarios of photovoltaic output and their occurrence probability, and then takes the maximum photovoltaic power consumption as the objective function to solve the maximum photovoltaic power consumption under each typical scenario. Finally, the final photovoltaic consumption is obtained by multiplying the maximum photovoltaic consumption in each scenario by the occurrence probability of the corresponding scene and summing up. The example analysis shows that, compared with the solution method of a single typical scenario, the photovoltaic consumption based on the occurrence probability of the typical scene is more reasonable, and can effectively reflect the annual photovoltaic consumption of the power grid.
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基于典型场景发生概率的光伏消纳研究
随着光伏等新能源在电力系统中的接入不断增加,为了合理评估电力系统的光伏消纳,本文提出了一种考虑典型场景概率的光伏消纳评估方法。该方法首先对光伏发电量的历史数据进行聚类分析,得到光伏发电量的多个典型场景及其发生概率,然后以最大光伏耗电量为目标函数,求解每个典型场景下的最大光伏耗电量。最后,将各场景下最大光伏用电量乘以对应场景的发生概率,求和得到最终光伏用电量。算例分析表明,与单一典型场景的求解方法相比,基于典型场景发生概率的光伏消纳更合理,能有效反映电网年光伏消纳情况。
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