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Super-high voltage direct-current power transmission line region internal and external fault identification method

A UHV DC and fault identification technology, applied in the direction of fault location, etc., can solve the problems of unreliable criterion and inability to realize full-line protection, etc., and achieve good statistical learning effect

Active Publication Date: 2015-08-26
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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  • Super-high voltage direct-current power transmission line region internal and external fault identification method
  • Super-high voltage direct-current power transmission line region internal and external fault identification method
  • Super-high voltage direct-current power transmission line region internal and external fault identification method

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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 super-high voltage direct-current power transmission line region internal and external fault identification method, and belongs to the field of high voltage direct-current power transmission system relay protection. The method comprises the steps of: firstly collecting fault voltage data; carrying out wavelet multi-scale decomposition on detected fault voltage signals to obtain a wavelet reconstruction high frequency coefficient of each layer, forming a characteristic vector matrix with singular-spectrum entropy of the high frequency coefficients of all layers, and dividing the data in the characteristic vector matrix into a training set and a testing set; then setting a training set label and a testing set label; carrying out training on the training set; then setting storage positions of prediction labels and prediction precision; inputting the testing set to an SVM classifier for testing, and obtaining a classification result and prediction precision; and then determining whether the classification result stored in a prediction label storage space is correct. By adopting the method provided by the invention, faults at three different positions can be identified at the same time; in addition, the method is simple and effective, the calculating time is short, and automation is realized 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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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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