Line fault judgment method based on wavelet analysis and support vector machine

A technology of support vector machine and wavelet analysis, applied in the direction of fault location, information technology support system, etc., can solve problems such as application difficulties

Inactive Publication Date: 2015-11-25
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF5 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the face of a large number of nodes and a complex regional transmission network, these methods are difficult to apply

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
  • Line fault judgment method based on wavelet analysis and support vector machine
  • Line fault judgment method based on wavelet analysis and support vector machine
  • Line fault judgment method based on wavelet analysis and support vector machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The embodiments will be described in detail below in conjunction with the accompanying drawings.

[0036] In order to verify the validity of the short-circuit fault classification model of power system transmission lines proposed above and the rationality of parameter settings, the wave recording data of a power company in a certain area are collected to form a test set for verification. Since the setting of the parameters in the present invention is based on expert experience, the test set must correct the parameters according to the accuracy of fault classification while verifying the parameters, so as to obtain more reasonable parameters. Such as figure 1 As shown, the specific method steps include:

[0037]Step 1: Select data from the historical database of the wave recording system to adjust the parameters of the fault classification method. Each transmission line will be equipped with a corresponding fault recorder, and the wave recording signal of the correspon...

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 belongs to the technical field of power system line fault judgment, and particularly relates to a line fault judgment method based on wavelet analysis and a support vector machine. The method comprises steps: firstly, fault current signals in a wave recording system are extracted, and the wavelet analysis technology is adopted for extracting and analyzing feature information of the fault current signals; then, a wavelet energy entropy theory is used for decomposing the fault current signals, an energy entropy value corresponding to each phase of current is calculated, and zero-sequence current is combined for building a four-dimensional feature vector for transmission line fault classification; and finally, a two-layer classification model is used for specific fault judgment. The judgment method comprises a linear classification module and a nonlinear classification module, wherein linear classification is initial classification on data samples according to the two-layer classification structure of the zero-sequence current and threshold parameters; and on the basis, according to data features for transmission line small sample fault, the support vector machine is used for nonlinear classification on multiple kinds of fault data, and transmission line fault judgment is finally realized.

Description

technical field [0001] The invention belongs to the technical field of power system line fault judgment, in particular to a line fault judgment method based on wavelet analysis and support vector machine. Background technique [0002] On the one hand, the transmission line spans a large space distance, generally tens to thousands of kilometers. On the other hand, it is exposed to the outdoors with harsh environmental conditions for a long time, so it cannot be effectively maintained. Compared with other electrical components, the conditions of the transmission line It is determined that it is the link most prone to failure in the power system. On the transmission line, the most common and dangerous fault is the abnormal connection between phase and phase or phase and ground, that is, short circuit. These faults are divided into single-phase ground short circuit, two-phase phase-to-phase short circuit, two-phase ground short circuit and three-phase ground short circuit in th...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/08
CPCY04S10/52
Inventor 师瑞峰史永锋张丽焦润海胡宇宸
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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