基于监测装置的窃电用户检测研究
Study on Detection of Electricity Thieving Users Through Monitoring Devices
赵艳龙 1汪卓俊 1杨勇胜 1蒋钟 2刘一民 1戚裕1
作者信息
- 1. 国网浙江省电力有限公司安吉县供电公司,浙江湖州 313300
- 2. 国网浙江省电力有限公司湖州供电公司,浙江湖州 313300
- 折叠
摘要
为了解决窃电用户的检测与定位问题,设计了一款挂载在用户输电线路的窃电行为监测装置.该装置通过传感器采集线路周期电流电压值,并利用红外抄表方式实现所在区域内电表数据的收集,随后将所有数据集中打包上传至云端服务器以实现窃电行为的取证,同时利用K均值聚类算法对数据进行处理.一旦某用户远离正常用户的簇中心,就表明该用户为窃电用户.
Abstract
Aiming at facilitating addressing the problem of detecting and localizing electricity thieving users,an electricity theft behavior monitoring device was designed to be mounted on the user's transmission line.This device could collect the periodic current and voltage values of the line through sensors,and acquire the data of electricity meters in its located area by means of infrared meter reading.All data were centrally packaged and uploaded to the cloud server for evidence collec-tion of electricity theft behavior.Moreover,K-means clustering algorithm was used to process it,which,upon finding that the cluster center of an individual user was far away from those of normal users,provided determining proof of elec-tricity thieving behavior.
关键词
用电信息/窃电行为/K均值聚类算法/数据通信Key words
power usage information/power stealing behavior/K-means clustering algorithm/data communication引用本文复制引用
出版年
2024
NETL
NSTL
万方数据