Method for judging abnormal electricity consumption behaviors of users based on EEMD method

Abstract

The invention relates to a method for judging abnormal electricity consumption behaviors of users based on an EEMD method. The method comprises the following steps of S1, carrying out cluster on electrical loads of the users by adopting a self-organizing map neural network method; S2, selecting one cluster from the clustering results of the step S1 at random and selecting any user in the cluster at random to obtain load data on any two identical time periods; S3, decomposing data in the step S2 into an IMF component and residual trend terms by adopting an empirical mode decomposition method; S4, carrying out linear correlation analysis on load residual terms of the two time periods respectively to obtain rho1 and rho2; S5, analyzing the rho1 and the rho2. The method for judging the abnormal electricity consumption behaviors of the users based on the EEMD method enables power supply enterprises to detect the abnormal behaviors in the electricity consumption process of the users, corresponding measures can be taken, and better services can be supplied to the users.

Description

technical field [0001] The invention relates to a method for judging the abnormality of the user's electricity consumption behavior, in particular to a method for judging the abnormality of the user's electricity consumption behavior based on the EEMD method. Background technique [0002] In recent years, with the development of the smart grid, the State Grid Corporation has begun to vigorously build a two-way interactive service system for the smart grid. This system realizes the two-way interaction of information and electric energy between power supply enterprises and customers, encourages users to change the traditional electricity consumption mode, actively participates in the operation of the power grid, adjusts the electricity consumption mode according to the real-time electricity price, and satisfies the diverse and diverse needs of users for electricity consumption, effectively Improve the utilization efficiency of the power grid and improve customer service levels...

AI Technical Summary

Problems solved by technology

[0003] However, the current two-way interactive service system of the smart grid is not perfect. The power supply companies only understand the user's electricity consumption behavior through the data provided by the meter. However, the current, voltage and energy displayed by the meter will be affected by external fluctuations to a certain extent. The interference of various factors makes it difficult for power supply companies to obtain the real situation of users' electricity consumption, and it is difficult to effectively supervise and guide users' electricity consumption

Moreover, power supply companies lack sufficient understanding of users' electricity consumption behaviors, and cannot detect abnormalities in users' electricity consumption in time, which also brings certain troubles to users.

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