Electricity larceny user identification method and device in combination with transformer area line loss and abnormal events

Abstract

The invention discloses an electricity larceny user identification method in combination with transformer area line loss and abnormal events. The electricity larceny user identification method comprises the steps of: acquiring transformer area and user data of at least one transformer area to be inspected, wherein the transformer area and user data comprises transformer area line loss data and basic data of each electricity utilization user in the transformer area; determining an abnormal line loss transformer area in which electricity larceny suspect users exist in a specified electricity utilization time period by applying a transformer area line loss anomaly detection method and the transformer area line loss data of the at least one transformer area to be inspected; determining a K-means clustering electricity larceny suspect user set, a support vector machine electricity larceny suspect user set and a Bayesian algorithm electricity larceny suspect user set for any abnormal line loss transformer area with the electricity larceny suspect users; and determining an electricity larceny suspect user list in the abnormal line loss transformer area after comprehensive evaluation. According to the electricity larceny user identification method, the identification rate of low-voltage electricity utilization abnormal users is effectively improved, and the workload of electricity utilization inspectors for investigation is effectively reduced.

Description

technical field [0001] The invention relates to the technical field of power system engineering, in particular to a method, device and system for identifying electricity stealing users combined with line loss and abnormal events in the station area. Background technique [0002] Stealing electricity users account for a small proportion of the total number of electricity users, but the behavior of stealing electricity interferes with the normal order of electricity consumption. Tolerance of electricity theft is detrimental to electricity fairness. Therefore, anti-stealing power is always a task in the inspection work. The existing anti-stealing methods have poor real-time performance, low detection accuracy, unsatisfactory processing results for data sets, and low efficiency in the investigation of electricity theft. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the present invention provides a method, device and system for identifying po...

AI Technical Summary

Problems solved by technology

The existing anti-stealing methods have poor real-time performance, low detection accuracy, unsatisfactory processing results for data sets, and low efficiency in the investigation of electricity theft

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