A fault location method for low-voltage distribution network based on the shortest path of adjacency matrix

A technology of low-voltage distribution network, shortest path algorithm, applied in fault location, fault detection according to conductor type, measurement of electricity, etc., can solve problems such as applicability limitation, dependency on topology structure, multiple branches, etc., to improve accuracy and fault tolerance degree, the effect of reducing the computational dimension

Active Publication Date: 2022-07-05
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 calculate the estimated states of fault monitoring units one by one according to the switching function, and the location efficiency is low. Depending on the topology, applicability 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
  • A fault location method for low-voltage distribution network based on the shortest path of adjacency matrix
  • A fault location method for low-voltage distribution network based on the shortest path of adjacency matrix
  • A fault location method for low-voltage distribution network based on the shortest path of adjacency matrix

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0072] Attached to the following Figure 1-5 The patent of the present invention is further described. The specific embodiment of the present invention is a fault location method for low-voltage distribution network based on the shortest path of the adjacency matrix, which includes the following steps:

[0073] Step 1: Build a multi-section distribution network model, install a fault current monitoring unit at the head end of each fe...

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 proposes a fault location method for low-voltage distribution network based on the shortest path of adjacency matrix. The invention improves the traditional intelligent positioning algorithm, combines the principle of graph theory, uses the fault current monitoring unit installed at the head end of each feeder section to generate the adjacency matrix of the low-voltage distribution network; according to the estimated fault current connectivity under the fault state of the estimated section The path of the estimated fault current is generated, and the shortest path estimation method is proposed to generate the estimated fault monitoring information matrix. The particle swarm algorithm is used for iterative search to find the estimated fault information that is most similar to the actual fault information as the fault location result. The invention effectively ensures the accuracy of the fault location of the low-voltage active distribution network, suppresses the interference of the monitoring information of the non-fault area to the fault location, improves the reliability of the low-voltage distribution network, and has important theoretical and practical application value.

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 (DG) to the power grid, the structure and flow of the power distribution system are increasingly multi-branched and complicated, and users' requirements for power supply reliability are also increasing. The fault location of power grid has gradually attracted the attention of researchers. The methods currently applied to distribution network fault location include: 1) Matrix method, which establishes a description matrix of the distribution network topology diagram, and combines the fault information matrix to form a fault discrimination matrix. However, the matrix method has a large calculation dimension and low...

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 Patents(China)
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