Distribution network fault location method utilizing natural frequency and artificial neural network

A technology of artificial neural network and fault location, which is applied in the direction of biological neural network model, fault location, etc., to achieve good robustness

Active Publication Date: 2011-07-20
KUNMING UNIV OF SCI & TECH
View PDF3 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The present invention uses neural ne

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
  • Distribution network fault location method utilizing natural frequency and artificial neural network
  • Distribution network fault location method utilizing natural frequency and artificial neural network
  • Distribution network fault location method utilizing natural frequency and artificial neural network

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0062] Specific simulation models such as figure 2 As shown, a fault point is taken every 50m on the line, namely Δ l =50m, fault resistance is 20Ω, fault closing angle θ=0°, 30°, 45°, 60°, 90°, simulation.

[0063] (1) After a single-phase grounding fault occurs in the distribution network, the starting element is started immediately, and the fault component of the fault zero sequence current can be obtained according to the three-phase current measured at the protection installation location for:

[0064] (1)

[0065] Where are the three-phase currents of the fault line A, B, C, k =1, 2, 3... N , N Is the length of the sampling sequence;

[0066] (2) Perform FFT transformation on the transient zero-sequence current of the faulty line, the sampling frequency is 1MHz, and the sampling length is 2048. After FFT transformation, a 2048×2 matrix is ​​obtained:

[0067] (2)

[0068] Where To obtain the zero sequence transient current from the...

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 distribution network fault location method utilizing a natural frequency and an artificial neural network. In the method, fault location is performed by utilizing a principle that main natural frequencies of a line of a fault traveling wave are different when the line fails at different points; and simultaneously data processing is performed by utilizing a hierarchical distributed artificial neural network. After the line causes a single-phase ground fault, the sampling frequency is 1 MHz; a discrete zero-sequence transient signal with the sampling length of 2048 after the fault is selected; fast Fourier transform (FFT) is performed, wherein the transform result is a matrix of 2048*2; and an absolute value of the matrix is solved. According to the model adopted by the method, the fault location is performed by selecting 8 frequency values with large amplitude values as the sample attribute of the neural network, selecting a suitable transfer function and a learning rule, and setting appropriate neural network parameters to construct a back propagation (BP) network model. A large number of simulation results show that the method has a good effect.

Description

technical field [0001] The invention relates to the technical field of electric power system relay protection, in particular to a distribution network fault ranging method using natural frequency and artificial neural network. Background technique [0002] At present, the existing distribution network ranging methods include "S" injection method, differential equation method, traveling wave method and parameter identification method. The "S" injection method is to calculate the fault impedance from the busbar to the fault point by detecting the current and voltage of the fault line injection signal, and calculate the fault point position based on the known impedance per unit length. However, the sensitivity of this method is easily affected by the injected signal, and the positioning effect is related to the actual operation situation in the field. The differential equation method uses the transient differential equations of some lines to use the measured transient voltage ...

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): G01R31/08G06N3/02
Inventor 束洪春段锐敏田鑫萃王旭邬乾晋秦书硕张广斌刘可真孙士云
Owner KUNMING UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products