结合序列分布概率的储能系统典型功率曲线提取方法  

Typical power curve mining of energy storage system combined with sequence distribution probability

作　　者：杨锡运[1] 任杰[1] 李相俊[2] 董德华[1] 贾学翠[2] 

机构地区：[1]华北电力大学控制与计算机工程学院,北京102206 [2]中国电力科学研究院新能源与储能运行控制国家重点实验室,北京100192

出　　处：《电力自动化设备》2017年第10期8-14,28,共8页Electric Power Automation Equipment

基　　金：国家自然科学基金资助项目(51677067);中央高校基本科研业务费专项资金资助项目(2015MS32);北京市科技新星计划项目(Z141101001814094);国家电网公司科技项目(DG71-14-046)~~

摘　　要：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。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.

关 键 词：储能 功率平滑 典型功率曲线 分布概率区间 

分 类 号：TM71[电气工程—电力系统及自动化]