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

Grid fault diagnosis method based on fuzzy integral multi-source information fusion theory

A multi-source information fusion and power grid fault technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of expanding faulty component diagnosis, unsatisfactory, misjudgment, missed judgment, etc., to reduce redundancy High accuracy, intuitive understanding and high accuracy

Active Publication Date: 2016-10-12
DEZHOU POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Traditional power grid fault diagnosis mostly only uses electrical quantities or protection information, but due to the uncertainty of fault information, it will lead to misjudgment and missed judgment, which will expand the diagnosis of faulty components and cause misjudgment. Therefore, only switch value fault diagnosis is used. unsatisfactory

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
  • Grid fault diagnosis method based on fuzzy integral multi-source information fusion theory
  • Grid fault diagnosis method based on fuzzy integral multi-source information fusion theory
  • Grid fault diagnosis method based on fuzzy integral multi-source information fusion theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] Such as Figure 7 As shown, a power grid fault diagnosis method based on fuzzy integral multi-source information fusion theory includes the following steps:

[0038] Step 1, obtaining electrical quantity and switch quantity fault information;

[0039] Step 2: Preprocess the fault information in Step 1, perform wavelet analysis on the electrical quantity, and obtain the wavelet singularity x j1 and wavelet failure degree x j2 ;Bayesian network diagnosis is carried out on the switching quantity, and the failure degree x of the switching quantity is calculated by Bayesian theory j3 ;

[0040] Step 3, based on the theory of fuzzy integral algorithm, calculate the wavelet singularity x obtained in step 2 j1 and wavelet failure degree x j2 , The failure degree of the switching value x j3 Fusion is carried out to obtain the final decision result....

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 grid fault diagnosis method based on a fuzzy integral multi-source information fusion theory. The method comprises: step one, electrical quantity and switching value fault information is obtained; step two, pretreatment is carried out on the fault information obtained at the step one, a wavelet analysis is carried out on the electrical quantity to obtain a wavelet singularity xj1 and a wavelet fault degree xj2; a Bayesian network diagnosis is carried out on the switching value and a fault degree xj3 of the switching value is obtained based on a Bayesian theory; and step three, on the basis of a fuzzy integral algorithm theory, fusion of the wavelet singularity xj1, the wavelet fault degree xj2, and the fault degree xj3 of the switching value that are obtained at the step two is carried out, thereby obtaining a final decision-making result. Therefore, occurrence of a model error that is caused by only using a switching value or an electrical quantity to diagnose a grid fault can be reduced.

Description

technical field [0001] The invention relates to the technical field of grid fault diagnosis, in particular to a grid fault diagnosis method based on fuzzy integral multi-source information fusion theory. Background technique [0002] The power grid is the backbone of the national economy, and economic development is inseparable from the development of the power grid. Once a large-scale power outage occurs, immeasurable losses will occur. In recent years, my country has ushered in the rapid development stage of power grid construction, and the research on fault diagnosis methods of power grid has become the focus of domestic and foreign scholars. Therefore, grid fault diagnosis has become a concern of power system researchers and power equipment manufacturers. However, due to the unpredictability of the occurrence of power grid faults and the extremely complex principles of protection devices, the accuracy of determining faulty equipment only by electrical quantities is not ...

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): G01R31/02
CPCG01R31/50
Inventor 魏燕袁桂华张瑞芳李振凯段立春王鸿雁耿洪彬刘志刚
Owner DEZHOU POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
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