Low-voltage power distribution network fault positioning method based on adjacent matrix shortest path

A technology of low-voltage distribution network, shortest path algorithm, applied in fault location, fault detection according to conductor type, measurement of electricity and other directions, can solve problems such as dependence on topology structure, small power supply radius, low positioning efficiency, etc.

Active Publication Date: 2020-12-01
国网河南省电力公司封丘县供电公司
View PDF15 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because the low-voltage distribution network has many branches, small power supply radius, and complex topological structure, most of the existing fault location methods calcula

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
  • Low-voltage power distribution network fault positioning method based on adjacent matrix shortest path
  • Low-voltage power distribution network fault positioning method based on adjacent matrix shortest path
  • Low-voltage power distribution network fault positioning method based on adjacent matrix shortest path

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0072] The following is attached Figure 1-5 To further explain the patent of the present invention, the specific embodiment of the present invention is a low-voltage distribution network fault location method based on the shortest path of the adjacency matrix, including the following steps:

[0073] Step 1: Construct a multi-section distribution network model, install a fault current monitoring unit at the head end of each feeder section, and connect the moni...

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 provides a low-voltage power distribution network fault positioning method based on an adjacent matrix shortest path. A traditional intelligent positioning algorithm is improved, a graphtheory principle is combined, and a fault current monitoring unit installed at the head end of each feeder line section is used for generating an adjacent matrix of a low-voltage power distribution network; a path of the estimated fault current is generated according to the estimated fault current connectivity in the fault state of the estimated section, and a shortest path estimation method is proposed to generate an estimated fault monitoring information matrix; and the iterative search is performed by using a particle swarm algorithm, and estimated fault information most similar to the actual fault information is found as a fault positioning result. According to the method, the accuracy of fault positioning of the low-voltage active power distribution network is effectively ensured, the interference of non-fault area monitoring information on fault positioning is suppressed, the reliability of the low-voltage power distribution network is improved, and the method has important theoretical and practical application values.

Description

technical field [0001] The invention belongs to the technical field of low-voltage distribution network fault location, in particular to a low-voltage distribution network fault location method based on the shortest path of an adjacency matrix. Background technique [0002] With the gradual increase of electricity load and the large-scale access of distributed power generation (DG) to the power grid, the structure and flow of the power distribution system tend to be multi-branched and complex. At the same time, users' requirements for power supply reliability are also increasing. The fault location of the power grid has gradually attracted the attention of researchers. At present, the fault location methods used in distribution network include: 1) matrix method, which establishes the description matrix of distribution network topology map, and forms a fault discrimination matrix in combination with the fault information matrix, but the matrix method has a large calculation d...

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): G01R31/08G06K9/62G06N3/00
CPCG01R31/088G01R31/086G06N3/006G06F18/241Y04S10/52
Inventor 姚永峰王慧萍乐健夏西宾黄永贾佳康凯王自勇化彦波王启哲
Owner 国网河南省电力公司封丘县供电公司
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