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A Method for Identifying Internal and External Faults of UHVDC Transmission Lines

A UHV DC, fault identification technology, applied in the fault location and other directions, can solve problems such as unreliable criteria, inability to achieve full-line protection, etc., to achieve good statistical learning effect

Active Publication Date: 2017-12-01
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The invention provides a method for identifying faults inside and outside the UHV DC transmission line, which is used to distinguish faults outside the rectifier side, faults inside the fault and faults outside the inverter side, and solve the problem that the current method proposed by electric power scholars cannot realize full-line protection Or the problem that the full-line protection can be realized but the criterion is unreliable

Method used

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  • A Method for Identifying Internal and External Faults of UHVDC Transmission Lines
  • A Method for Identifying Internal and External Faults of UHVDC Transmission Lines
  • A Method for Identifying Internal and External Faults of UHVDC Transmission Lines

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Embodiment 1

[0033] Embodiment 1: as Figure 1-2 As shown, a method for identifying faults inside and outside the UHV DC transmission line area, the specific steps of the method are:

[0034] Step1. After the UHV DC transmission system fails, the data acquisition device on the rectification side collects the fault voltage data in the time window 50ms after the arrival of the first wave of the fault voltage traveling wave;

[0035] Step2. Decompose the detected fault voltage signal by wavelet multi-scale to obtain the wavelet reconstruction high-frequency coefficients of each layer, calculate the singular spectral entropy of the wavelet reconstruction high-frequency coefficients of each layer, and combine all the wavelet reconstruction high-frequency coefficients of each layer Singular spectral entropy forms an m×n dimensional eigenvector matrix, and divides the data in the eigenvector matrix into training set and test set;

[0036] Step3. Set the training set label and the test set label ...

Embodiment 2

[0043] Embodiment 2: as Figure 1-2 As shown, a method for identifying faults inside and outside the UHV DC transmission line area, the specific steps of the method are:

[0044] Step1. After the UHV DC transmission system fails, the data acquisition device on the rectification side collects the fault voltage data in the time window 50ms after the arrival of the first wave of the fault voltage traveling wave;

[0045] Step2. Decompose the detected fault voltage signal by wavelet multi-scale to obtain the wavelet reconstruction high-frequency coefficients of each layer, calculate the singular spectral entropy of the wavelet reconstruction high-frequency coefficients of each layer, and combine all the wavelet reconstruction high-frequency coefficients of each layer Singular spectral entropy forms an m×n dimensional eigenvector matrix, and divides the data in the eigenvector matrix into training set and test set;

[0046] Step3. Set the training set label and the test set label ...

Embodiment 3

[0057] Embodiment 3: as Figure 1-2 As shown, a method for identifying faults inside and outside the UHV DC transmission line area, the specific steps of the method are:

[0058] Step1. After the UHV DC transmission system fails, the data acquisition device on the rectification side collects the fault voltage data in the time window 50ms after the arrival of the first wave of the fault voltage traveling wave;

[0059] Step2. Decompose the detected fault voltage signal by wavelet multi-scale to obtain the wavelet reconstruction high-frequency coefficients of each layer, calculate the singular spectral entropy of the wavelet reconstruction high-frequency coefficients of each layer, and combine all the wavelet reconstruction high-frequency coefficients of each layer Singular spectral entropy forms an m×n dimensional eigenvector matrix, and divides the data in the eigenvector matrix into training set and test set;

[0060] Step3. Set the training set label and the test set label ...

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Abstract

The invention relates to a method for identifying faults inside and outside the area of ​​an extra-high voltage direct current transmission line, which belongs to the field of relay protection of a high voltage direct current transmission system. Firstly, the fault voltage data is collected; the detected fault voltage signal is decomposed by wavelet multi-scale, and the wavelet reconstruction high-frequency coefficients of each layer are obtained, and the singular spectral entropy of all high-frequency coefficients of each layer is composed into an eigenvector matrix, Divide the data in the feature vector matrix into training set and test set; set the training set label and test set label; train the training set; set the storage location of the prediction label and prediction accuracy; input the test set to SVM The classifier is tested to obtain classification results and prediction accuracy; and then determine whether the classification results stored in the prediction label storage space are correct. The invention can identify faults in three different positions at the same time, and the method is simple and effective, has short calculation time, and can realize automation in the whole classification process.

Description

technical field [0001] The invention relates to a method for identifying faults inside and outside the area of ​​an extra-high voltage direct current transmission line, and belongs to the technical field of relay protection for high voltage direct current transmission systems. Background technique [0002] Currently, traveling wave protection is the main protection in DC line protection, with differential undervoltage protection and differential protection as backup protection. Traveling wave protection and differential undervoltage protection tend to refuse to operate when there is a high-impedance ground fault, and the sensitivity of current differential protection is not high, and the protection action is slow. Transient protection using the attenuation characteristics of boundaries to high-frequency quantities is the development direction of UHV DC transmission line protection. Due to the attenuation characteristics of long transmission lines, it is impossible to achiev...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08
Inventor 陈仕龙曹蕊蕊毕贵红杨具瑞谢佳伟李兴旺荣俊香罗璐王彦武
Owner KUNMING UNIV OF SCI & TECH
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