Study on Detection of Electricity Thieving Users Through Monitoring Devices
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.
power usage informationpower stealing behaviorK-means clustering algorithmdata communication
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NSTL
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