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

Fault diagnosis method for power grid based on improved Bayesian Petri net

A technology of power grid fault and diagnosis method, which is applied in the field of power transmission and distribution

Active Publication Date: 2018-02-02
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF10 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The timing correlation attribute is an important attribute of alarm information. Although there are many studies on the timing constraint relationship, there is no in-depth research on the quantitative expression of the timing constraint relationship between fault elements and protection actions, protection actions and circuit breaker action logic rules.

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
  • Fault diagnosis method for power grid based on improved Bayesian Petri net
  • Fault diagnosis method for power grid based on improved Bayesian Petri net
  • Fault diagnosis method for power grid based on improved Bayesian Petri net

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The present invention proposes an improved Bayesian Petri net (temporalassociation Bayesian Petri net, TABPN) model that considers quantitative temporal association rules, combines the Petri net with the Bayesian network, and introduces temporal association rules (temporal association rules, TAR), From a quantitative point of view, describe the timing relationship and logic rules between various warehouses. Under the condition of incomplete fault information, use the protection action rules to reason about the timing constraint relationship of alarm information, and give the identification of the loss of alarm information. , breakpoint and false alarm algorithm, and further combined with Bayesian network to quickly and accurately locate faulty components.

[0070] Definition 1: An improved Bayesian Petri net model (TABPN) model containing quantitative time series association rules is defined as a nine-tuple:

[0071] ∑ TABPN =(P,T,F,W,M 0 ,α,f,Δu,T AR )

[0072] In ...

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 fault diagnosis method for a power grid based on an improved Bayesian Petri net, and the method comprises the steps: firstly introducing a time sequence correlation rule, andstarting from the quantification angle to describe the time sequence relation between all places and a logic rule; secondly carrying out the reasoning of the time sequence constraint correlation of alarm information through a protection action rule under the condition that fault information is not complete, and giving an algorithm for recognizing the loss of alarm information, a breaking point and false alarm; finally achieving the positioning of a fault element quickly and accurately through combining with a Bayesian network. According to the invention, the method makes the most of the information in an alarm signal, and a fault diagnosis model which is based on the improved Bayesian Petri net and gives consideration to the time sequence correlation rule is proposed on the basis of the deep analysis of the time sequence attribute in the alarm information. The method reduces the uncertainty of an alarm result, is strong in resistance to interference, and can greatly improve the accuracy of a diagnosis result.

Description

technical field [0001] The invention relates to a fault diagnosis method for an improved Bayesian Petri net model considering quantitative time series association rules, and belongs to the technical field of power transmission and distribution. Background technique [0002] Smart grid is an inevitable form of power system development. Its scale and complexity will greatly increase the difficulty and vulnerability of operation and control, which also brings great challenges to power system fault diagnosis. At present, in terms of power system fault diagnosis, it can be divided into expert system, artificial neural network, fuzzy reasoning and Petri net from the perspective of its application. Although these methods have certain adaptability in the fault diagnosis process, when multiple faults occur in the power grid, the alarm information will increase rapidly, which increases the burden on dispatchers to process information. At the same time, the uncertainty and incompleten...

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
CPCG01R31/086G01R31/088
Inventor 李刚郭晓红曹瑞张博刘云鹏
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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