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Transmission line fault identification method under combined action of power frequency and impact

A transmission line, combined action technology, applied in the field of fault identification, can solve the problems of power failure, difficult reclosing, lack of fault identification methods, etc., to ensure safe and stable operation, and the effect of clear and intuitive features.

Active Publication Date: 2019-12-24
SICHUAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that typical faults such as vegetation, pollution, or ice-covered flashovers can easily form breakdown channels under lightning strikes or operating shocks, and form continuous arcs under power frequency voltage to cause flashovers, and these three types of faults are not easy to reclose successfully. , in severe cases, it will induce a large-scale blackout
At present, most of the research focuses on the fault identification of vegetation, pollution and icing flashover caused by power frequency voltage breakdown, and there is still a lack of effective fault identification methods for vegetation, pollution and icing flashover caused by impact.

Method used

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  • Transmission line fault identification method under combined action of power frequency and impact
  • Transmission line fault identification method under combined action of power frequency and impact
  • Transmission line fault identification method under combined action of power frequency and impact

Examples

Experimental program
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Effect test

Embodiment 1

[0049] Each type of flashover fault simulation test was repeated twice, and then the flashover current signal f(t) collected in the above three types of fault simulation tests was analyzed using the transmission line fault identification method under the combined action of power frequency and impact provided by this embodiment. The process for processing involves the following steps:

[0050] (1) Use db4 wavelet in matlab to decompose the flashover current signal f(t) with 6 layers of wavelet, and obtain the wavelet coefficient S of the reconstructed signal in 6 frequency bands from 0 to high frequency i (n)(i=0,1,...,6), n represents the sampling point of the nth flashover current signal, and the obtained reconstructed signal is as follows figure 2 shown;

[0051] (2) According to the wavelet coefficient S of the reconstructed signal in different frequency bands i (n), calculate the wavelet energy e of the flashover current signal in the corresponding frequency band i : ...

Embodiment 2

[0069] Each type of flashover fault simulation test was repeated twice, and then the flashover current signal f(t) collected in the above three types of fault simulation tests was analyzed using the transmission line fault identification method under the combined action of power frequency and impact provided by this embodiment. The process for processing involves the following steps:

[0070] (1) Use db4 wavelet in matlab to decompose the flashover current signal f(t) with 6 layers of wavelet, and obtain the wavelet coefficient S of the reconstructed signal in 6 frequency bands from 0 to high frequency i (n)(i=0,1,...,6), n represents the sampling point of the nth flashover current signal, and the obtained reconstructed signal is as follows figure 2 shown;

[0071] (2) According to the wavelet coefficient S of the reconstructed signal in different frequency bands i (n), calculate the wavelet energy e of the flashover current signal in the corresponding frequency band i : ...

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Abstract

The invention discloses a transmission line malfunction identification method under combined action of power frequency and surge. The transmission line malfunction identification method under combinedaction of power frequency and surge obtains the wavelet energy in different frequency bands by performing wavelet analysis on a fault transient cable, and calculates the identification feature quantity for determining vegetation flashover and pollution / icing flashover according to the wavelet energy in different frequency bands and the identification feature quantity for determining pollution flashover and icing flashover, and can realize reliable identification of the fault type of vegetation flashover, pollution flashover and icing flashover under combined action of power frequency and surge (such as lightning strike) through quantitative analysis. The transmission line malfunction identification method under combined action of power frequency and surge can be used for identification and research of the fault type of vegetation flashover, pollution flashover and icing flashover when the practical line is under impact, such as lightning stroke, and the like, thus having practical guiding significance for ensuring safe and stable operation of the power system.

Description

technical field [0001] The invention belongs to the technical field of fault identification in electric power engineering, and relates to a transmission line fault identification technology, in particular to a transmission line fault identification method under the joint action of power frequency and impact. Background technique [0002] Overhead transmission lines are the foundation of power grid construction. Accurate and rapid identification of transmission line fault causes can provide scientific and effective decision-making support for the safe and stable operation of power systems. Most existing transmission line fault identification uses artificial intelligence algorithms to extract feature quantities through fault components, S transform, wavelet transform and other methods, and then classify and identify them by BP (Back propagation) neural network and fuzzy recognition. However, the above methods are all black-box operations, and the specific shock wave parameters...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08G01R31/12
CPCG01R31/085G01R31/088G01R31/1272Y04S10/52
Inventor 龚薇曾琴周凯
Owner SICHUAN UNIV