基于局部矩阵重构算法的电力用户窃电分析  

Analysis of Electricity Stealing by Power Users Based on Local Matrix Reconstruction Algorithm

作　　者：梁哲辉 李莹 罗智慧 Liang Zhehui;Li Ying;Luo Zhihui(Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Guangzhou 510620,China)

机构地区：[1]广东电网有限责任公司广州供电局,广州510620

出　　处：《兵工自动化》2025年第3期20-24,共5页Ordnance Industry Automation

摘　　要：针对目前窃电检测模型需要大量样本、训练过程复杂、检测性能有待提高等缺点,提出一种基于局部矩阵重构的检测模型。引入主成分分析用于分析相邻数据样本之间差异的分布特征;利用欧几里德距离和数据分布特性用来检测不同耗电模式之间的差异;引入局部异常值得分,从而确定窃电样本。对某电力公司提供的住宅电力负荷数据进行实验分析,结果表明:所提模型ROC曲线下面积为0.8463,具有相对稳定的检测阈值和更强的鲁棒性,对配电网窃电检测评估具有一定借鉴作用。In view of the shortcomings of the current electricity theft detection model,such as requiring a large number of samples,complex training process,and the detection performance needs to be improved,a detection model based on local matrix reconstruction is proposed.The principal component analysis is introduced to analyze the distribution characteristics of the differences between adjacent data samples;the Euclidean distance and data distribution characteristics are used to detect the differences between different power consumption modes;the local outlier score is introduced to determine the power theft samples.The residential power load data provided by a power company is used for experimental analysis,and the results show that the area under the ROC curve of the proposed model is 0.8463,which has a relatively stable detection threshold and stronger robustness,and has a certain reference for the electricity theft detection and evaluation of distribution network.

关 键 词：配电网 窃电检测 主成分分析 局部矩阵 欧氏距离 

分 类 号：TM7[电气工程—电力系统及自动化]