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Lightning stroke fault determination method based on waveform difference degree and lightning stroke fault sample database

A technology of lightning strike fault and waveform difference, applied in fault location, dimension measurement and other directions, can solve problems such as insufficient accuracy

Inactive Publication Date: 2015-08-05
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of insufficient accuracy of the existing lightning strike fault discrimination method, and propose a lightning strike fault discrimination method based on waveform difference degree and lightning strike fault sample library

Method used

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  • Lightning stroke fault determination method based on waveform difference degree and lightning stroke fault sample database
  • Lightning stroke fault determination method based on waveform difference degree and lightning stroke fault sample database
  • Lightning stroke fault determination method based on waveform difference degree and lightning stroke fault sample database

Examples

Experimental program
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Effect test

Embodiment 1

[0069] Example 1: Such as figure 2 As shown in the waveform diagram, the arrow points to the waveform in the case of wind deviation fault, and the waveform without the arrow indicates the sample data waveform of lightning failure.

[0070] Taking a wind-deviation fault data waveform as an example, the cubic B-spline wavelet is used to perform wavelet transformation on the fault data, and the maximum point of the wavelet coefficient modulus maximum is the initial traveling wave arrival time of the wind-deviation fault data. The data of the initial traveling wave of the fault reaching 5ms is selected for normalization, the fault waveform recorded by the fault location device is compared with the waveforms in the lightning fault sample library, and the minimum difference min (P xy [i]) = 0.5430> 0.10, that is, the difference between the wind deviation fault waveform and the waveform in the lightning fault sample library is relatively high, and the fault can be determined as a non-lig...

Embodiment 2

[0071] Example 2: Such as image 3 As shown in the waveform diagram, the arrow points to the waveform in the case of lightning failure, and the waveform without the arrow indicates the sample data waveform of the lightning failure.

[0072] Taking a lightning fault data waveform as an example, the cubic B-spline wavelet is used to perform wavelet transformation on the fault data, and the maximum point of the wavelet coefficient modulus maximum is the initial traveling wave arrival time of the lightning fault data. The data of the initial traveling wave of the fault reaching 5ms is selected for normalization, the fault waveform recorded by the fault location device is compared with the waveforms in the lightning fault sample library, and the minimum difference min (P xy [i]) = 0.0561 <0.10, that is, the difference between the lightning failure waveform and the waveform in the lightning failure sample library is low, and the failure can be determined as a lightning failure.

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Abstract

The invention relates to a lightning stroke fault determination method based on a waveform difference degree and a lightning stroke fault sample database. According to the method, when a fault occurs at a power transmission line, a travelling-wave fault range finding apparatus records a fault waveform; calculation is carried out by using a cubic b-spline wavelet to obtain an initial traveling wave arrival time of the fault; data 5ms after the initial traveling wave arrival time are selected to carry out normalization processing; the fault waveform after normalization processing is compared with all waveforms in the lightning stroke fault sample database and waveform difference degrees are calculated; and if a minimum value of difference degrees of the fault waveform and all waveforms in the lightning stroke fault sample database is less than a set threshold value, the fault type is determined to be a lightning stroke fault type; and otherwise, the fault type is determined to a non-lightning stroke fault type. According to the invention, compared with the existing lightning stroke fault identification method, the provided determination method has the following beneficial effects: confirmation of fault points by field line patrol workers is not required; the accuracy is high; and the method is simple and effective.

Description

Technical field [0001] The invention relates to a lightning fault discrimination method based on a waveform difference degree and a lightning fault sample library, and belongs to the technical field of power system relay protection. Background technique [0002] Transmission lines have long distances and large spans, and lightning incidents occur from time to time. Lightning tripping has always been the most important factor affecting the safe and stable operation of the line. Lightning disasters reduce the reliability of the power grid and bring great resistance to the economic and reliable operation of the power grid. Therefore, it is necessary to correctly identify lightning failures, improve line lightning protection, and improve the reliability of transmission lines. [0003] In the scene, the method of distinguishing lightning failure is mainly that the on-site operation and maintenance personnel obtain the fault location result by querying the lightning data of the lightnin...

Claims

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Application Information

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IPC IPC(8): G01R31/08G01R29/04
Inventor 马仪黄然申元周仿荣束洪春余多白冰
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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