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Big data deduction based electric energy metering device error detection method and system

An electric energy metering device and error detection technology, which is applied in the direction of measuring devices, measuring electric variables, instruments, etc., can solve the problems of weak information of electric energy data errors and other problems

Active Publication Date: 2017-02-22
STATE GRID HUNAN POWER SUPPLY SERVICE CENT (METROLOGY CENT) +4
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the error of the metering device is relatively small, the amount of error information contained in the electric energy data is also very weak. In the past, it was difficult to detect the defective state of error out of tolerance through a small amount of electric energy data

Method used

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  • Big data deduction based electric energy metering device error detection method and system
  • Big data deduction based electric energy metering device error detection method and system
  • Big data deduction based electric energy metering device error detection method and system

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Embodiment Construction

[0102] Such as figure 1 As shown, the steps of the error detection method of the electric energy metering device based on big data deduction in this embodiment include:

[0103] 1) Obtain multiple sets of electric energy data of each line in the designated voltage area of ​​the substation to be evaluated;

[0104] 2) Calculate the corresponding bus power imbalance rate according to each set of electric energy data, and establish a mapping model between electric energy and bus power imbalance rate according to multiple sets of electric energy data and the corresponding bus power imbalance rate;

[0105] 3) Create N virtual lines, N is the number of lines in the specified voltage area of ​​the substation to be evaluated, take any two virtual lines to form a line pair, set one of the line pairs as the current line pair, and set the metered power of one of the virtual lines The value is the measurement benchmark, and the other virtual line is the comparison object; set the power ...

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Abstract

The invention discloses a big data deduction based electric energy metering device error detection method and system. The method includes the steps: acquiring multiple sets of electric energy data of each circuit, calculating bus electricity quantity non-balance ratio, building a mapping model of electric energy and bus electricity quantity non-balance ratio, calculating close degree of electric energy data and a virtual load model, selecting a plurality of sets of electric energy data according to the close degree to form a training sample set, taking the bus electricity quantity non-balance ratio as a teacher sample set to train the artificial neural network, and performing deduction and reconfiguration to obtain whole error. The system comprises an electric energy data acquisition unit, a bus electricity quantity non-balance ratio calculation unit, a virtual load model building unit, a close degree calculation unit, a sample set generation unit, an artificial neural network training unit and a whole error calculation unit. The method and system can monitor whole metering error of electric energy metering devices in real time at the same time, and has the advantages of avoidance of field test, simplicity in realization method, real-time performance and quickness in detection, high efficiency and safety.

Description

technical field [0001] The invention relates to a state evaluation technology of an electric energy metering device in electric power equipment, and specifically discloses an error detection method and system for an electric energy metering device based on big data deduction. Background technique [0002] The accurate measurement of electric energy is the basis for ensuring the fairness of electricity billing. Every year, the error electricity caused by the error of the metering device is quite considerable. On the one hand, there are currently many technical means for detecting the error of the metering device. Traditional methods include: laboratory verification and on-site inspection of electric energy meters, laboratory verification and on-site inspection of transformers, on-site inspection of secondary voltage drop of voltage transformers, etc. These tasks require personnel to disassemble the metering device to the laboratory, or require personnel to bring the standard...

Claims

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Application Information

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IPC IPC(8): G01R35/04
CPCG01R35/04
Inventor 李恺陈向群李劲柏杨茂涛陈福胜王海元陈浩黄瑞王智柳宇航
Owner STATE GRID HUNAN POWER SUPPLY SERVICE CENT (METROLOGY CENT)
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