结合序列分布概率的储能系统典型功率曲线提取方法

摘要

A typical power curve mining method for energy storage system is proposed in the application of smoothing power fluctuation of photovoltaic power plant.According to the power interval distribution characteristics of energy storage system in longitudinal timing sequence,the distribution intervals with the distribution probability larger than the threshold and their corresponding characteristic power values are searched by the quantum genetic algorithm based on Bloch sphere.The typical power value at the moment is obtained according to the characteristic power value,and then the typical power curve is determined.The typical power curves of the energy storage system under four weather patterns are obtained from mining are comprehensively analyzed,which verifies the effectiveness of the proposed method.%在平滑光伏电站功率波动的应用场景下,提出一种储能系统典型功率曲线挖掘方法.基于储能系统功率在纵向时序的区间分布特性,利用基于Bloch球面的量子遗传算法寻找所有分布概率大于阈值的分布区间及相应特征功率值;根据特征功率值得到该时刻典型功率值,从而获得典型功率曲线.通过对挖掘得到的4种天气类型下储能系统典型功率曲线进行综合分析,验证了所提方法的有效性.