Method for accelerating power distribution network fault tolerance location

A distribution network fault and distribution network technology, applied in the direction of fault location, information technology support system, etc., can solve the problems of wrong positioning results of matrix algorithm, false or missing fault information, slow fault diagnosis speed, etc., and achieve positioning The results are accurate and reasonable, the speed of fault location is improved, and the effect of meeting online real-time performance

Active Publication Date: 2013-03-27
SHENYANG POWER SUPPLY LIAONING POWER +2
View PDF1 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main achievement of fault diagnosis based on sound information is Liu Jian et al. (Liu Jian, Ni Jianjian, Du Yu. Unified Matrix Algorithm for Judgment and Isolation of Fault Sections in Distribution Networks [J]. Electric Power System Automation, 1999, 23(1) :31-33.) The matrix algorithm proposed, the matrix algorithm can quickly find the fault section and meet the real-time requirements of online operation, but because the feeder automation equipment and communication network are all working outdoors, the operating environment is harsh, and fault information is prone to occur False positives or negative negatives, it is difficult for the terminal equipment to provide sound fault information, so the positioning result of the matrix algorithm may be wrong
On the other hand, the results of fault diagnosis based on non-sound information are mainly artificial intelligence algorithms, such as Du Hongwei et al. (Du Hongwei, Sun Yaming, Liu Hongjing, etc. Distribution network fault location and isolation based on genetic algorithm[J]. ,2000,24(5):52-55.) and Li Chaowen et al. (Li Chaowen, He Zhengyou, Zhang Haiping, et al. Fault location of radial distribution network based on binary particle swarm optimization[J]. Control, 2009,37(7):35-39.) The binary particle swarm optimization algorithm proposed, although the artificial intelligence algorithm has good fault tolerance, but the fault diagnosis speed is slow, and often cannot meet the online real-time requirements of fault location
Therefore, due to the shortcomings of various algorithms, the application of feeder automation is limited.

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 accelerating power distribution network fault tolerance location
  • Method for accelerating power distribution network fault tolerance location
  • Method for accelerating power distribution network fault tolerance location

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0030] Example 1: if image 3 When a phase-to-phase fault occurs in the feeder section D5 of the distribution network, the method for accelerating the fault-tolerant location of the distribution network fault disclosed by the present invention includes the following steps (such as figure 1 shown):

[0031] Step 1: After a fault occurs in the distribution network, the master station first collects the fault current information of all feeder switches. If a switch uploads fault current information, define the fault information flag of the switch as 1, otherwise, define the switch The fault information flag of the feeder switch is 0; then, according to the fault current information uploaded by the feeder switch, the matrix algorithm is used to complete the location of the fault section. If a certain section is faulty, the fault flag of this section is defined as 1; flag is 0.

[0032] as attached image 3 A typical distribution network circuit is shown, assuming a phase-to-phas...

example 2

[0042] Example 2: if Figure 5 When a phase-to-phase fault occurs in the feeder section D4 and section D8 of the distribution network, the method for accelerating the fault-tolerant location of the distribution network fault disclosed by the present invention is used to locate the fault section, including the following steps:

[0043] step 1:

[0044] A. In Example 2, under the condition that any switch fault information is not falsely reported or missed, the fault information collected by the master station is G=[1 1 1 1 0 1 1 1 0 0 0 0], where the serial number of the switch Arrange in the order of S1, A, B, G, H, C, D, E, F, K, I, J. According to the fault information G=[1 1 1 1 0 1 1 1 0 0 0 0] of the master station, the fault section location result obtained by the matrix algorithm is [0 0 0 1 0 0 0 1 0 0 0 0], where the feeder Sections are arranged in the order of D1, D2...D12.

[0045] B. In Example 2, when the fault information of switch B is missing, the fault info...

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 accelerating power distribution network fault tolerance location. An artificial intelligence algorithm is an algorithm with higher fault tolerance in power distribution network fault section localization technologies, but the algorithm is low in fault locating speed, and difficult to meet a requirement for online real time. The method for accelerating the power distribution network fault tolerance location classifies faults according to a fault location result of a matrix algorithm, improves an initial solution of a particle swarm algorithm under multiple faults, accelerates iterative optimization, corrects error location of the matrix algorithm, and achieves fast and accurate location of power distribution network faults. The method for accelerating the power distribution network fault tolerance location uses a fault section localization result of the matrix algorithm fully, reasonably combines the matrix algorithm with the particle swarm algorithm, inherits advantages of being high in locating speed of the matrix algorithm and being good in fault tolerance of the particle swarm algorithm, achieves the fast and accurate location of faults, solves the problems that the matrix algorithm is poor in fault tolerance and the artificial intelligence algorithm is low in fault location speed in power distribution network fault localization methods.

Description

[0001] Patent field [0002] The invention belongs to the technical field of power system automation, and relates to fault diagnosis of a distribution network, in particular to a method for accelerating fault-tolerant positioning of a distribution network fault. Background technique [0003] The scale, capacity and coverage of modern power systems are getting bigger and bigger, and they play an important role in the national economy and people's lives. Failures and power outages will bring serious damage to social production and people's lives, so it is imminent to improve the reliability of power supply. Distribution automation is an important means to reduce power outage time, reduce power outage area, and improve power supply reliability. Among them, feeder automation is one of the most important functions of distribution automation, that is, after a distribution network fault occurs, it can timely and accurately locate the fault section, quickly isolate the fault area, and...

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
CPCY04S10/522Y04S10/52
Inventor 王英男王增平任哲郑涛金鹏
Owner SHENYANG POWER SUPPLY LIAONING POWER
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap