Power system probabilistic load flow calculation method and system based on data fusion

The invention relates to the field of electric power systems, in particular to an electric power system probabilistic load flow calculation method and system based on data fusion, and the method comprises the steps: obtaining the system state of an electric power system in a current time period, the system state comprising the time sequence of photovoltaic output, wind power output and load in the current time period; and inputting the system state into the trained probabilistic load flow model, and outputting a probabilistic load flow calculation result in the next adjacent time period, the probabilistic load flow calculation result comprising the mean value and variance of node voltage and branch power in the next adjacent time period. According to the technical scheme, the accuracy of the probabilistic load flow calculation result in the power system can be improved. 本申请涉及电力系统领域，尤其涉及一种基于数据融合的电力系统概率潮流计算方法及系统，方法包括：获取当前时间段内电力系统的系统状态，所述系统状态包括所述当前时间段内光伏出力、风力出力和负载的时间序列；将所述系统状态输入训练完毕的概率潮流模型，输出下一个相邻时间段的概率潮流计算结果，所述