摘要
针对台区居民的日负荷曲线,采用两步法进行聚类分析。结合聚类评价指标轮廓系数,提出了一种基于用电负荷的有效的居民用户分类方法。该方法可以实现对居民用电负荷曲线的多维多次聚类分析,根据用户的负荷特征曲线提取负荷特征,从而得到各个居民用户所属类别。为有针对性地开展需求侧管理活动提供有力依据,使各类需求侧管理措施发挥其应有的作用。
Based on the daily load curve of zone area residents,a two-step method is used for cluster analysis.Combined with the clustering evaluation index silhouette coefficient,an effective residential user classification method based on electricity load is proposed in this paper.The method can realize multi-dimensional multiple cluster analysis of the residential electricity load curve,and extract the load characteristics according to the load characteristic curve of the user,thereby obtaining the category to which each residential user belongs.Provide a strong basis for targeted demand-side management activities and enable various demand-side management measures to play their due roles.
出处
《工业控制计算机》
2020年第5期142-144,155,共4页
Industrial Control Computer
关键词
居民用电负荷
两步法聚类
轮廓系数
负荷特征
用户分类
residential electricity load
two-step clustering
silhouette coefficient
load characteristics
user classification