摘要
在电力系统电能损失中,非技术损失占有相当大的比例。为了有效稽查出电力系统中的用电异常用户,文中使用电力用户负荷历史曲线数据和模糊C均值算法进行聚类分析,得到电力用户负荷典型曲线,然后通过比较用户实际负荷曲线与相应行业负荷典型曲线的Camberra距离,分析可能发生异常用电的用户,从而对相应用户进行针对性用电异常稽查。
In power losses of power system,nontechnical losses occupy a large proportion. To inspect abnormal elec- tricity customers in power system effectively, historical load curve data and fuzzy C-means algorithm are used for clus- tering analysis in this paper. Typical load curves of electricity customers are obtained. By comparing Camberra dis- tances of actual load curves and typical load curves of corresponding industry, potential abnormal electricity customers are analyzed. Corresponding customers are inspected specifically.
出处
《华北电力技术》
CAS
2016年第4期14-18,共5页
North China Electric Power
