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Method for detecting electricity stealing on basis of electricity utilization behavior patterns of electric energy users and application

A detection method and user's technology, which can be used in measurement devices, measurement of electrical variables, measurement of time integration, etc., and can solve problems such as the safety of electricity consumption information collection systems

Active Publication Date: 2018-09-28
STATE GRID TIANJIN ELECTRIC POWER +1
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AI Technical Summary

Problems solved by technology

However, the semi-open network structure and the limitation of smart meter hardware resources also bring about security issues in the electricity consumption information collection system.

Method used

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  • Method for detecting electricity stealing on basis of electricity utilization behavior patterns of electric energy users and application
  • Method for detecting electricity stealing on basis of electricity utilization behavior patterns of electric energy users and application
  • Method for detecting electricity stealing on basis of electricity utilization behavior patterns of electric energy users and application

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Embodiment 1

[0070] (1) Establish a time-sharing model of energy consumption: based on the user's electric energy metering information in the electricity consumption information collection system, consider at least one or a combination of at least two factors among behavioral habits, climate, and seasonal factors, and establish the energy consumption of different types of users. Time-consuming model; the different types of users include large-scale special transformation users, small and medium-sized special transformation users, industrial users and urban resident users;

[0071] (2) to image 3 Take the daily power load curve of user D in March as an example, use the K-means algorithm to cluster the electricity consumption behavior data of different types of users, and obtain k clusters and cluster centers C k . Considering that the residential user power consumption model can be divided into two types: the working day model and the non-working day model, the D user power consumption mo...

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Abstract

The invention belongs to the technical field of electric power detection, particularly relates to the technical field of electric power electricity stealing detection, and particularly relates to a method for detecting electricity stealing on the basis of electricity utilization behavior patterns of electric energy users and application. The method and the application have the advantages that themethod starts from electricity utilization behavior characteristics of the users, factors such as behavior habit, climate and seasons are considered according to electricity utilization energy consumption characteristics of the different electric power users, and different user energy consumption time-sharing models are built; the problem of incapability of accurately determining electricity stealing behavior of users under the consideration of reasonable electricity utilization behavior change of the electric energy users after the anomaly of electric energy measurement data of the users is detected on the basis of K-means clustering algorithms and LOF (local outlier factor) algorithms can be solved by the aid of the method and the application; the method is combined with electricity utilization information acquisition systems for measuring electric energy loss, the electricity stealing probability is introduced according to energy consumption formulas in districts, the electric energy electricity stealing probability can be computed, and accordingly different types of electricity stealing behavior of the electric energy users can be reliably monitored.

Description

technical field [0001] The invention belongs to the technical field of electric power detection, in particular to the technical field of electric power theft detection, in particular to a method and application of electric power theft detection based on the power consumption behavior pattern of electric energy users. Background technique [0002] With the continuous advancement of smart grid construction and changes in the energy landscape, electric energy is playing an increasingly important role in the economy and society. As a platform for user power information collection, analysis and processing, and data application, the power consumption information collection system plays an important role in modern power marketing and smart grid two-way interaction. more convenience. However, the semi-open network structure and the limitation of smart meter hardware resources also bring security problems to the electricity consumption information collection system. How to reasonab...

Claims

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Application Information

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IPC IPC(8): G01R11/24
CPCG01R11/24
Inventor 冯瑛敏任国岐赵晶黄丽妍刘瑾毛华赵新谢秦
Owner STATE GRID TIANJIN ELECTRIC POWER
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