基于稳健回归和卷积神经网络的中压窃电类型检测方法  

A Medium-voltage Stealing Type Detection Method Based on Robust Regression and Convolutional Neural Network

作　　者：陈敏 张逸[1] 邹阳[1] 辛荣 张良羽 高琛 林华 CHEN Min;ZHANG Yi;ZOU Yang;XIN Rong;ZHANG Liangyu;GAO Chen;LIN Hua(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,Fujian Province,China;State Grid Fujian Marketing Service Center,Fuzhou 350011,Fujian Province,China)

机构地区：[1]福州大学电气工程与自动化学院,福建省福州市350108 [2]国网福建省电力有限公司营销服务中心,福建省福州市350011

出　　处：《电网技术》2024年第11期4729-4738,I0077-I0080,I0076,共15页Power System Technology

基　　金：国家电网有限公司总部科技项目“用电信息采集一体化运营与全网协同分析应用关键技术研究(5108-202218280A-2-255-XG)”。

摘　　要：目前传统的窃电检测方法只能识别用户是否存在窃电,而无法针对各类型窃电用户进行快速准确稽查。针对中压用户具有用电量大、用电较为规律的特点,该文提出一种基于稳健回归和卷积神经网络的中压配电线路窃电类型检测方法。首先,考虑到受通信延迟中断等因素影响存在非正常数据的情况,采用稳健回归算法减小其影响,提高回归分析精度;其次,将回归所得的各用户修正系数及误差项作为用户窃电特征,输入卷积神经网络模型进行训练,以完成窃电类型识别;最后,通过仿真和实测数据进行该文方法的验证。结果表明,在不同扰动条件下,该文方法能准确识别不同类型窃电行为,能够更好地辅助现场排查,缩小排查范围,提高查实率。The traditional power theft detection method can only identify whether the user has power theft,but cannot perform rapid and accurate inspections for various types of power theft users.Aiming at the characteristics of mediumvoltage users with large and regular power consumption,this paper proposed a method for detecting the type of power theft in medium-voltage distribution lines based on robust regression and convolutional neural networks.Firstly,considering abnormal data due to factors such as communication delay interruption,a robust regression algorithm is used to reduce its impact and improve the accuracy of regression analysis.Secondly,the correction coefficient and error term of each user obtained by regression are taken as the characteristics of the user stealing electricity and input into the convolutional neural network model for training to complete the identification of stealing electricity type.Finally,the method is verified by simulation and measured data.The results show that under different disturbance conditions,the proposed method can accurately identify different types of power stealing behaviors,which can better assist the on-site investigation,narrow the investigation scope,and improve the verification rate.

关 键 词：窃电检测 稳健回归 中压配电线路 神经网络 智能电表 

分 类 号：TM721[电气工程—电力系统及自动化]