Neighborhood distance based transmission line fault detection method

A transmission line, fault detection technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc.

Active Publication Date: 2019-09-20
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a transmission line fault detection method based on neighborhood distance, which can effectively solve the problem

Method used

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  • Neighborhood distance based transmission line fault detection method
  • Neighborhood distance based transmission line fault detection method
  • Neighborhood distance based transmission line fault detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0089] Using the electromagnetic transient simulation software PSCAD / EMTDC to build the IEEE39 node system, the system structure is as follows figure 2 shown. figure 2 The circled G in the middle represents the generator, and the serial numbers 1 to 39 are the numbers of each busbar. The system voltage level is 345kV, the frequency is 60Hz, and the sampling frequency is 2.4kHz. Set the fault in the IEEE39 node system, extract the corresponding fault data, and program in MATLAB to realize the detection method of the fault line.

[0090] In the following calculation example, AG represents a phase-to-ground fault, ABG represents a two-phase-to-ground short-circuit fault of A and B, AB represents a short-circuit fault between phases A and B, and ABC represents a three-phase short-circuit fault of A, B, and C.

[0091] Example 1

[0092] In the IEEE39 node system, set faults at different positions of line L4-14, including three positions of 10%, 50%, and 90%. Each position is r...

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Abstract

The invention discloses a neighborhood distance based transmission line fault detection method, and relates to the technical field of fault detection of power transmission lines. The method includes extracting the three-phase current sampling values on the two sides of a line, utilizing abnormal data detection and mean value correction methods, and performing rejecting and correction on abnormal data; performing normalization processing on a current waveform rejecting the abnormal data; extracting the A phase, B phase and C phase current sampling values on the two sides of the line of the last cycle of each sampling point to form the phase current sets on the two sides of the sampling points, and constructing and calculating the neighborhood distances between each phase current set on the two sides; judging the line is failed when one or more neighborhood distances of the line are greater than a protection threshold value; and backward moving a sampling point, and detecting that the line is failed when line fault is continuously judged for three times.

Description

technical field [0001] The invention relates to the technical field of fault detection of power grid transmission lines. Background technique [0002] At present, most of the existing protection algorithms use the Fourier algorithm, and then do the protection calculation after obtaining the power frequency phasor, but the Fourier algorithm is easily affected by the attenuated DC component in the fault current, and the protection action speed will be limited by the data window of the filtering algorithm. And there are problems such as insufficient anti-interference ability. For this reason, scholars at home and abroad have studied the protection algorithm using the similarity of the current instantaneous value waveform. [0003] For example, the literature (Chen Le, Bo Zhiqian, Lin Xiangning, etc. Research on line fast longitudinal protection based on waveform similarity comparison [J]. Chinese Journal of Electrical Engineering, 2017, 37(17): 5018-5027) studied the The curr...

Claims

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Application Information

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IPC IPC(8): G01R31/00G01R31/02
CPCG01R31/00G01R31/50
Inventor 童晓阳张生鹏
Owner SOUTHWEST JIAOTONG UNIV
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