基于智能电表数据的台区识别与窃电检测方法研究  

Research on Users' Transformer Attribute Identification and Stealing Electricity Detection Method Based on Smart Meter Data

作　　者：潘明明[1] 田世明[1] 吴博 叶俊[3] 

机构地区：[1]中国电力科学研究院,北京100192 [2]国网河南省电力公司电力科学研究院,河南郑州450052 [3]武汉大学电气工程学院,湖北武汉430072

出　　处：《智慧电力》2017年第12期80-84,共5页Smart Power

基　　金：国家自然科学基金项目资助(51077103)~~

摘　　要：提出了一种基于智能电表数据的台区用户识别及窃电检测方法,该方法通过对智能电表的量测数据进行灰色关联分析,以对用户所属台区及相别进行识别;通过对智能电表的计量数据和量测数据进行计算和分析,以对台区进行窃电检测。该方法不需要加装额外的装置便可实现台区用户识别和窃电检测,可有效提升电网企业的智能化和自动化水平,提高工作效率。This paper proposes a new method to deal with these problems based on smart meter data. The method can be used to identify the distribution area and phase by conducting the gray correlation analysis of the smart meter data. The stealing electricity detection can be carried out by analyzing the metering data and the measured data from the smart meter data. This method can realize the goals without installing additional devices, effectively improving the intelligent and automation level as well as the work efficiency of the power grid enterprise.

关 键 词：智能电表 用户识别 灰色关联分析 窃电检测 

分 类 号：TM762[电气工程—电力系统及自动化]