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A short-term prediction method and device for measurement error state of transformer

A technology of error prediction and measurement error, which is applied in the field of short-term prediction of the measurement error state of capacitive voltage transformers, can solve the problems of low accuracy and achieve the effect of ensuring stability

Active Publication Date: 2022-02-18
武汉格蓝若智能技术股份有限公司
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Problems solved by technology

The results show that the CVT measurement error state prediction model based on Q-ARMA can predict the change trend of the CVT measurement error state at the next sampling time or in a certain period of time in the future, but the accuracy is not high

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  • A short-term prediction method and device for measurement error state of transformer
  • A short-term prediction method and device for measurement error state of transformer
  • A short-term prediction method and device for measurement error state of transformer

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Embodiment Construction

[0044] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0045] figure 1 The flow chart of a short-term prediction method for the metering error state of a transformer provided by the embodiment of the present invention, as shown in figure 1 As shown, the method includes the following steps:

[0046] S1, obtain the time series data of the observed system, and obtain the error estimation value f through the station-level error evaluation system (g) and estimated value time series F (g) .

[0047] Obtain the time series data of the observed system, obtain the estimated error value through the station-level error evaluation system, and collect relevant data in the station on that day. In actual operation, there may be gross errors caused by human factors, etc., and it ...

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Abstract

The present invention relates to a short-term prediction method and device for measurement error status of transformers. Firstly, the error stripping method is used to preprocess the CVT error data, and the ARIMA algorithm is used to construct a trend prediction model, and the predicted value of the error of the transformer itself and the additional error The predicted values ​​are added to predict the error value in the near time period and obtain the transformer error state prediction curve. The short-term prediction of the transformer error state provides data support for the risk warning of the transformer, thereby ensuring the stability of the power grid operation.

Description

technical field [0001] The invention relates to the technical field of on-line monitoring of electric power metering, in particular to an ARIMA-based short-term prediction method and device for metering error states 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. Capacitive voltage transformer (CVT) is divided by series capacitors, and then stepped down and isolated by electromagnetic transformer. As an instrument used to transform voltage, capacitor voltage transformer can also couple carrier frequency to transmission line Long-distance communication, selective line high-frequency protection, remote control and other functions. Compared with conventional electromagnetic voltage transformers, capacitive voltage transformers not only h...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F119/08G06F119/12
CPCG06F30/20G06F2119/08G06F2119/12
Inventor 刘思成王帅熊灿黄娟张成龙卢甫成洪晨
Owner 武汉格蓝若智能技术股份有限公司