Low-voltage area network area-user relationship identification method based on data acquired by intelligent electric energy meter

Abstract

The invention discloses a low-voltage area network area-user relationship identification method based on data acquired by intelligent electric energy meters, and the method comprises the following steps: collecting and obtaining a preset number of days of original voltage data of gateway intelligent electric energy meters and user intelligent electric energy meters in a to-be-identified low-voltage area network, cleaning the original voltage data, and obtaining the effective data of each intelligent electric energy meter; according to the obtained effective data of each intelligent electric energy meter, calculating a daily average value and a standard deviation value of the voltage of the intelligent electric energy meter; respectively carrying out correlation analysis on an average valuesequence and a standard deviation value sequence of the user intelligent electric energy meters and the gateway intelligent electric energy meters; and if the analysis result shows that correlation coefficients of the average value and the standard deviation value of the intelligent electric energy meter of a certain user and the intelligent electric energy meter of a certain gateway are the maximum values, judging that the two are matched. The identification method is based on a big data analysis method, and the calculated amount is relatively small; the method can accurately identify the area-user relationship and a meter-phase relationship, and can predict the identification accuracy.

Description

technical field [0001] The invention belongs to the technical field of data analysis, relates to the technical field of big data analysis of a smart electric energy meter digital metering system in a low-voltage station area of ​​a distribution network, and in particular to a method for identifying household relationships in a low-voltage station area based on data collected by an intelligent electric energy meter. Background technique [0002] The gateway electric energy meter refers to the metering device installed and operated in the station area and connected to the user's electric energy meter. It is used for trade settlement and internal economic index assessment, and plays an important role in the electric energy metering of the entire power grid. By calculating and analyzing line loss, we can find the distribution law of electric energy loss in the power grid, expose management and technical problems, provide theoretical and technical basis for loss reduction work, an...

AI Technical Summary

Problems solved by technology

If the matching between the energy meter at the gateway and the user’s energy meter is not accurate, the corresponding addresses of the two parties will be different, and the line loss will be too high or the line loss will be negative when calculating the line loss in the later period.

[0003] For problems that cannot be accurately identified between users and gateways, the traditional method is on-site comparison and investigation, but based on the complexity of the power supply environment that may arise during on-site operations, it may be difficult to determine the ownership of the household meter power supply, and a lot of manpower and material resources will be wasted; However, the existing devices required for judgment using hardware are more complicated, and the cost of installation and later maintenance is relatively high; conventional big data analysis algorithms directly calculate the correlation coefficient for judgment or perform cluster analysis on this basis, and these methods require repeated calculations The daily correlation coefficient between users and gateways requires a large amount of calculation and cannot simultaneously identify the relationship between households and phases of stations with different attributes

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