Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Transmission line fault detection method based on spearman correlation coefficient

A technology of correlation coefficient and fault detection, which is applied in the direction of fault location, fault detection according to conductor type, and electrical measurement, can solve the problems of insufficient sensitivity and achieve the effects of low synchronization requirements, insensitive abnormal data, and fast action speed

Active Publication Date: 2019-07-05
SOUTHWEST JIAOTONG UNIV
View PDF13 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a transmission line fault detection method based on Spearman's correlation coefficient, which can effectively solve the problem of insufficient sensitivity of the protection algorithm in the case of high-impedance ground fault, abnormal sampling value, information asynchronous, CT saturation, etc. question

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Transmission line fault detection method based on spearman correlation coefficient
  • Transmission line fault detection method based on spearman correlation coefficient
  • Transmission line fault detection method based on spearman correlation coefficient

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0060] 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 3kHz. Set the fault in the IEEE39 node system, take out the fault data, and program in MATLAB to realize the fault line detection algorithm.

[0061] 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.

[0062] Example 1

[0063] In the IEEE39 node system, the line L17-18 is set to fail at 5%, 50%, and 95% of the distance from the bus 17, respectively. The fault types are AG, ABG, AB, an...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a transmission line fault detection method based on a spearman correlation coefficient. The method comprises the following steps of: acquiring three-phase current instantaneousvalues on two sides of a line at each moment; calculating to obtain instantaneous values of a positive sequence fault component current, a negative sequence current and a zero sequence current on twosides of the line; constructing a fault component comprehensive current on a certain side of the line to be the superposition of the instantaneous values of the positive sequence fault component current, the negative sequence current and the zero sequence current at the same moment; using one cycle as a time window, utilizing the fault component comprehensive current in the time window to construct two characteristic sequences of a certain line, and calculating the spearman correlation coefficient between the two characteristic sequences; and calculating the spearman correlation coefficient of the line once when the time window moves forwards by one point, and judging that the line is a fault line when the correlation coefficient is larger than a threshold value 0. The transmission line fault detection method of the invention has the beneficial effects that: the transmission line fault detection method is not influenced by transition resistance, abnormal data, current transformer saturation and the like, and the fault line can be detected when a fault occurs in open-phase operation and flow transferring, and the requirement on information synchronism is not high.

Description

technical field [0001] The invention relates to the technical field of fault detection of power grid transmission lines. Background technique [0002] Most of the existing protection algorithms use the Fourier algorithm to obtain the power frequency phasor in the fundamental wave phasor system and then perform protection calculations. However, the Fourier algorithm will be affected by the attenuated DC component in the fault current, and the protection action speed will be affected by the filter. The algorithm data window is limited, and there are still problems such as insufficient anti-interference ability. In view of the above problems, domestic and foreign scholars began to study the protection algorithm based on the current instantaneous value waveform. There are certain deficiencies in tolerance and accuracy. [0003] The literature (Chen Le, Bo Zhiqian, Lin Xiangning, et al. Research on fast longitudinal protection of lines based on waveform similarity comparison [J...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01R31/08
CPCG01R31/085G01R31/088
Inventor 童晓阳温豪
Owner SOUTHWEST JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com