基于负荷曲线特性的潜在储能用户挖掘建模

Potential energy storage user mining modeling based on load curve characteristics

文章提出的基于负荷曲线特性的潜在储能用户挖掘方法可以基于电网监控系统的运行数据快速确定储能的目标用户,加快储能投资建设的精准度。具体建模方法是通过提取用户负荷特征曲线,聚类处理原始负荷曲线,根据特性指标分析曲线的基本特征计算对应的负荷密度,提取加装储能前后用户的用电变化特征。通过分析用户参与储能用电潜力,利用数据挖掘的方式实现对区域电网中潜在储能用户的挖掘。实验结果表明,与传统的用户挖掘模型相比,基于负荷曲线特性的潜在储能用户挖掘模型挖掘出的用户数量增加了11.1%,挖掘时间节省了约57.1%。

Based on the characteristics of load curve,this paper proposes a modeling study of potential energy storage users mining.Build the mining model of potential energy storage users,collect the actual power consumption data of different types of users in the region,and extract the corresponding user load characteristic curve.The original load curve is extracted by clustering processing.The corresponding load density is calculated according to the basic characteristics of characteristic index analysis curve,and the power consumption change characteristics of users before and after energy storage are extracted.The experimental results show that:compared with the traditional user mining model,the number of users mined by the model based on the characteristics of load curve increases by 11.1%,and the mining time is saved by 57.1%.