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

Power distribution network line vectorization method and device based on neural network

A neural network and distribution network technology, applied in the field of electric power, can solve the problems of lack of distribution network, inability to obtain accurate analysis results, and difficulty in accurately representing the characteristic information of distribution network.

Active Publication Date: 2020-08-28
EZHOU INST OF IND TECH HUAZHONG UNIV OF SCI & TECH +1
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in order to realize some functions of the smart grid, such as the connection of power generation, the analysis of transmission risks, and the analysis of power transfer, etc., it is necessary to digitize the distribution network; and some existing distribution network modeling methods are often It is simply a modeling analysis for a specific problem in the distribution network; the obtained digital characteristics of the power grid are difficult to effectively express the overall characteristics of the distribution network, that is, it is difficult to accurately express the characteristic information of the distribution network, so that making it impossible to obtain accurate analysis results
[0003] Therefore, there is still a lack of a data-based method that can accurately represent the characteristics of the distribution network

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
  • Power distribution network line vectorization method and device based on neural network
  • Power distribution network line vectorization method and device based on neural network
  • Power distribution network line vectorization method and device based on neural network

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0055] See figure 1 , the first embodiment of the present invention provides a neural network-based distribution network line vectorization method, figure 1 A flow chart of the neural network-based vectorization method for distribution network lines is shown.

[0056] Specifically, the method includes the following steps:

[0057] Step S10: Construct a graph model based on the connection relationship between the transmission line of the distribution network and the electrical equipment; wherein, the transmission line is used as a node in the graph model, and the connection of the transmission line is used as an edge of the graph model, so said electrical device as an injection of said graph model;

[0058] Step S20: Based on the graph model, obtain the injection eigenvector, line adjacency matrix, and injection adjacency matrix respectively corresponding to the target transmission line; wherein, the target transmission line is a transmission line corresponding to any node; t...

no. 2 example

[0088] Based on the same inventive concept, the second embodiment of the present invention provides a neural network-based distribution network line vectorization device 300 . figure 2 A functional block diagram of a neural network-based distribution network line vectorization device 300 provided in the second embodiment of the present invention is shown.

[0089] Specifically, the neural network-based distribution network line vectorization device 300 includes:

[0090] The graph model building module 301 is used to build a graph model based on the connection relationship between the transmission line of the distribution network and the electrical equipment; wherein, the transmission line is used as a node in the graph model, and the connection of the transmission line is used as the graph an edge of the model, said electrical device as an injection of said graph model;

[0091] The feature acquisition module 302 is configured to acquire an injection feature vector, a line ...

no. 3 example

[0100] See image 3 , the third embodiment of the present invention provides a method for locating a distribution network line fault, figure 1 A flow chart of the distribution network line fault location method is shown.

[0101] Specifically, the method includes the following steps:

[0102] Step S100: Construct a graph model based on the connection relationship between the transmission line of the distribution network and the electrical equipment; wherein, the transmission line is used as a node in the graph model, and the connection of the transmission line is used as an edge of the graph model, so said electrical device as an injection of said graph model;

[0103] Step S200: Vectorize the target transmission line of the distribution network based on the graph model, and embed the connection relationship between the target transmission line and adjacent transmission lines, the target transmission line and the injection, and obtain the target transmission line The line e...

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 power distribution network line vectorization method and device based on a neural network, and the method comprises the steps: building a graph model based on the connectionrelation between a transmission line of a power distribution network and electrical equipment; based on the graph model, obtaining an injection feature vector, a line adjacency matrix and an injectionadjacency matrix respectively corresponding to a target transmission line; based on a neural network, performing feature embedding on the injection feature vector and the injection adjacency matrix at nodes of the graph model to obtain a first line feature vector of the target transmission line, wherein the first line feature vector comprises a connection relationship between the target transmission line and the injection; and updating the first line feature vector based on the line adjacency matrix to obtain a second line feature vector of the target transmission line. According to the invention, the feature information of the power distribution network can be accurately represented, so that the data analysis or fault prediction result of the power distribution network is improved.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a neural network-based distribution network line vectorization method and device. Background technique [0002] Smart grid is the development direction of electric power field at present, but it is still in concept and initial stage. The smart grid is built on the basis of an integrated, high-speed two-way communication network. Through the application of advanced sensing and measurement technology, advanced equipment technology, advanced control method and advanced decision support system technology, the reliability and safety of the power grid can be realized. , Economical, efficient, environmentally friendly and safe to use, its main features include self-healing, motivating and protecting users, resisting attacks, providing power quality that meets user needs, and allowing access to various forms of power generation. However, in order to realize some functions of the...

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): G06K9/62G06N3/04G06N3/08G06Q50/06
CPCG06Q50/06G06N3/04G06N3/08G06F18/2411Y04S10/50
Inventor 莫益军徐何军方鑫
Owner EZHOU INST OF IND TECH HUAZHONG UNIV OF SCI & TECH
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