A method and device for identifying multi-user electricity stealing leak meter under the same feeder line

Abstract

The present invention provides a method and device for discriminating electricity stealing and leakage meters of multiple users under the same feeder line, wherein the method includes the following steps: acquiring the actual power consumption data of each user within the selection time of the feeder line and the actual sales volume of the feeder line Power data: predict the power consumption data of each user within the selected time of the line, obtain the predicted power consumption data of each user, and obtain the power consumption of each user according to the predicted power consumption data and the actual power consumption data difference; predict the electricity sales data of the feeder line within the selected time period, obtain the predicted electricity sales data of the feeder line, and obtain the electricity sales difference of the feeder line according to the predicted electricity sales data and the actual electricity sales data; Calculate the difference between electricity consumption and electricity sales to obtain multiple electricity stealing meter users. The invention can quickly and accurately lock suspect users and has universal applicability.

Description

technical field [0001] The invention relates to the technical field of user electricity stealing and leakage meter screening, in particular to a multi-user electricity stealing and leakage meter identification method and device under the same feeder line. Background technique [0002] In 2004, Shenzhen Power Supply Bureau Co., Ltd. developed the "Electricity Leakage Meter Analysis and Early Warning System" based on the Bayesian algorithm. After popularization and application, the company recovered huge economic losses. However, with the steady development of the anti-theft and leakage detection work, the limitations of the system algorithm are becoming more and more obvious. The main goal of this algorithm is to accurately lock the user with the largest proportion of under-metered electricity in the line. The larger the proportion, the higher the accuracy of locking. When the leakage power is not much different, the algorithm will not be able to accurately lock. In additi...

AI Technical Summary

Problems solved by technology

However, with the steady development of the anti-theft and leakage detection work, the limitations of the system algorithm are becoming more and more obvious

The main goal of this algorithm is to accurately lock the user with the largest proportion of under-metered electricity in the line. The larger the proportion, the higher the accuracy of locking. When the leakage power is not much different, the algorithm will not be able to accurately lock

In addition, the algorithm has high requirements for the selection of abnormal intervals, requires the user to have rich experience, and does not have universal applicability

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