A method and system for predicting measurement errors of capacitive voltage transformers

A technology of voltage transformer and measurement error, which is applied in the field of prediction method and system of measurement error of capacitive voltage transformer, and can solve the problem of low accuracy rate and so on.

Active Publication Date: 2022-03-11
武汉格蓝若智能技术股份有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the accuracy rate in the prediction of the capacitance voltage transformer measurement error is not high, and multiple manual parameter adjustments are required, the first aspect of the present invention provides a method for predicting the measurement error of the capacitance type voltage transformer, including: Obtain a plurality of error data of the transformer to be tested; strip each of the error data into its own error and additional error, and process a plurality of its own errors into a time series; input the time series into the trained LSTM In the model, the self-error prediction value of the transformer to be tested is obtained; the additional error prediction value of the transformer to be tested is calculated according to the temperature information and frequency information; the error prediction value and the additional error prediction value of the transformer to be tested are combined to obtain the mutual inductance to be measured The final predictive value of the

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  • A method and system for predicting measurement errors of capacitive voltage transformers
  • A method and system for predicting measurement errors of capacitive voltage transformers
  • A method and system for predicting measurement errors of capacitive voltage transformers

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Embodiment 2

[0056] refer to Figure 4 , the second aspect of the present invention provides a prediction system 1 for measurement errors of capacitive voltage transformers, including: an acquisition module 11 for acquiring a plurality of error data of the transformer to be tested; a stripping module 12 for Each of the error data is stripped into self-error and additional error, and a plurality of self-errors are processed as a time series; the prediction module 13 is used to input the time series into the trained LSTM model to obtain the tested The self-error prediction value of the transformer; the fusion module 14 is used to calculate the additional error prediction value of the transformer to be tested according to the temperature information and frequency information; the error prediction value and the additional error prediction value of the transformer to be tested are fused to obtain the mutual inductance to be measured final predictor value.

[0057] In some embodiments of the pr...

Embodiment 3

[0059] refer to Figure 5 , the third aspect of the present invention provides an electronic device, including: one or more processors; storage means for storing one or more programs, when the one or more programs are used by the one or more executed by one or more processors, such that the one or more processors implement the method of the first aspect of the present invention.

[0060] The electronic device 500 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 501, which may be loaded into a random access memory (RAM) 503 according to a program stored in a read-only memory (ROM) 502 or loaded from a storage device 508 Various appropriate actions and processing are performed by the program. In the RAM 503, various programs and data necessary for the operation of the electronic device 500 are also stored. The processing device 501 , ROM 502 and RAM 503 are connected to each other through a bus 504 . An input / output (I / O) i...

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Abstract

The present invention relates to a method and system for predicting measurement errors of capacitive voltage transformers. The method comprises: obtaining a plurality of error data of transformers to be tested; stripping each of the error data into its own error and additional error, and A plurality of self-errors are processed as a time series; the time series is input into the LSTM model that has been trained to obtain the self-error prediction value of the transformer to be tested; the additional error of the transformer to be tested is calculated according to temperature information and frequency information Predicted value; combining the error predicted value and additional error predicted value of the transformer to be tested to obtain the final predicted value of the transformer to be tested. The invention improves the accuracy of error prediction and realizes long-term prediction by stripping the error of the capacitive voltage transformer and combining with the LSTM model.

Description

technical field [0001] The invention belongs to the technical field of electric power measurement and deep learning, and specifically a method and system for predicting measurement errors of capacitive voltage transformers. Background technique [0002] As an important part of the electric energy metering device, the accuracy and reliability of the metering performance of the transformer is directly related to the fairness and justice of the electric energy trade settlement. A capacitive voltage transformer (CVT, Capacitance type voltage transformer) is divided by series capacitors, and then stepped down and isolated by an electromagnetic transformer. As an instrument for transforming voltage, a capacitive voltage transformer can also couple the carrier frequency to Power lines are used for long-distance communication, selective line high-frequency protection, remote control and other functions. Compared with conventional electromagnetic voltage transformers, capacitive vol...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G01R35/02G06N3/04G06N3/08
CPCG01R35/02G06N3/08G06N3/044
Inventor刘思成王帅冯宽廖传炬汪鑫夏志武张林
Owner武汉格蓝若智能技术股份有限公司