Method for locating fault area of power grid based on multi-dimensional information

A technology for grid fault and regional location, applied in the direction of fault location, etc., can solve the problems of measurement point error, topology change, synchronous timing, etc., to achieve fast and accurate location, reduce the sampling frequency requirements, good robustness and universal The effect of suitability

Active Publication Date: 2018-01-19
CHINA UNIV OF MINING & TECH
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, fault location methods based on single-dimensional information in the entire network are s

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
  • Method for locating fault area of power grid based on multi-dimensional information
  • Method for locating fault area of power grid based on multi-dimensional information
  • Method for locating fault area of power grid based on multi-dimensional information

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0037] The present invention will be further explained below in conjunction with the drawings.

[0038] Such as figure 1 As shown, a method for locating a grid fault area based on multi-dimensional information of the present invention includes the following steps:

[0039] (1) First, the multi-dimensional feature quantities of n measuring points are expressed in the form of a matrix, as follows:

[0040]

[0041] Among them, n represents the number of samples, s represents the dimension of the fault feature quantity; then x sn Represents the value corresponding to the s-th dimension feature quantity of the n-th sample;

[0042] (2) Normalize the initial data, and the normalized multi-dimensional fault feature matrix X′ is:

[0043]

[0044] (3) Given the classification number c=4 of the optimized cluster analysis, set the iterative stop target threshold ε=10 -5 , Give the initial cluster center P (t) , Set the initial iteration value t = 0;

[0045] (4) Fuzzy membership based on optimiz...

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 method for locating a fault area of a power grid based on multi-dimensional information. First, multi-dimensional eigenvectors X of the time domain, the frequency domain, theenergy domain and the like, are constructed and then normalized to obtain vector space X'. Then, the optimal clustering analysis algorithm is used to obtain the optimal membership matrix U, and samples are classified based on U. Finally, based on a classification criterion value matrix of the inherent characteristics of multi-dimensional fault vectors of the time domain, the frequency domain, theenergy domain and the like, classification measurement points are concretely attributed, and the power grid area is divided into four categories: a fault area, a fault boundary area, a fault transition area and a non-fault area. The method integrates multi-dimensional information such as the time domain and the frequency domain in a complex power grid, identifies and corrects error data by usingmulti-dimensional information correlation characteristics, and quickly and accurately locates the fault area. At the same time, the requirement for the sampling frequency of field devices is reduced,and the method provided by the invention is more robust and universally applicable than the existing whole-network one-dimensional fault location method.

Description

technical field [0001] The invention relates to a method for locating a grid fault area using multi-dimensional information. Background technique [0002] With the development of smart grid, the voltage level and transmission capacity of transmission lines have been continuously improved, which has effectively promoted the development of productivity. However, once the failure of the transmission line fails to solve it in time, it will lead to huge economic losses. Therefore, a reliable and practical fault area location method is of great significance to quickly troubleshoot faults and maintain safe and stable operation of the system. [0003] At present, the fault location methods of power grid mainly include impedance method and traveling wave method. Although the impedance method is simple, it is easily affected by factors such as fault resistance and arc. The traveling wave method has high positioning accuracy and is not affected by factors such as arcs, so it is more...

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
Inventor 梁睿杨智宋超然王政褚宁吴胜磊
Owner CHINA UNIV OF MINING & 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