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An electricity larceny user discovery method based on user sample data difference characteristic analysis

A technology of sample data and differential features, which is applied in the field of discovery of power-stealing users based on the analysis of differential features of user sample data

Active Publication Date: 2019-06-14
CHANGCHUN INST OF TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the face of a variety of electricity stealing methods, there are relatively few electricity stealing samples (electricity stealing is not a large-scale behavior), and it is difficult to support the automation of existing intelligent methods simply by relying on fewer electricity stealing samples. Find new stealers

Method used

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  • An electricity larceny user discovery method based on user sample data difference characteristic analysis
  • An electricity larceny user discovery method based on user sample data difference characteristic analysis

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Embodiment 1

[0091] Taking 800 electricity customers in a certain enterprise concentrated area in specific Changchun City as an example, the census of electricity stealing users is carried out by the method of the present invention, comprising the following steps:

[0092] S1, input the list UTable of user’s daily electricity consumption, QIDList of the user ID list of known electricity stealing users, UIDList of user ID list of known non-electricity stealing users, get the number of users UNum, get the number of electricity stealing users QUNum, and get the number of non-stealing users Number of users UUNum;

[0093] The user's daily electricity consumption list UTable is a list. Each table item in the list corresponds to a user's daily electricity consumption. Each table item is a set containing the following content:

[0094] ID: user number

[0095] A1: Phase A voltage, which is an array of 96 elements, which corresponds to the phase A voltage sampled by the user every 15 minutes a da...

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Abstract

The invention provides an electricity larceny user discovery method based on user sample data difference characteristic analysis, through difference description and distance description between samples according to the user sample data difference characteristics, the judgment on the user electricity larceny behavior according to the specific electricity larceny behavior is not realized, so that the electricity larceny user is found. According to the patent of the invention, electricity stealing users can be more effectively discovered, and great significance is provided for scientific and effective management of a power grid.

Description

technical field [0001] The invention relates to the technical field of power grid management, in particular to a method for discovering electricity-stealing users based on the analysis of difference characteristics of user sample data. Background technique: [0002] Electricity theft occurs frequently in the current power system network. Electricity theft not only damages the interests of power supply enterprises, but also affects the orderly and normal operation of the power grid, and brings serious security risks to the entire power network. The intelligent method can automatically, quickly and low-cost discover electricity stealing users among many users, so this type of method has high practical value in the field of electricity stealing discovery. [0003] Stealing electricity users usually use some specific wiring methods to make the metering equipment of the power grid invalid or less metering. These methods will cause changes in certain phases. There are two main met...

Claims

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Application Information

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IPC IPC(8): G06F16/21G06F16/245G06Q50/06
Inventor 孙宏彬潘欣
Owner CHANGCHUN INST OF TECH
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