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

A Data Mining-Based Prediction Method for Electromagnetic Environment Parameters of Transmission Lines

An electromagnetic environment and transmission line technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems that linear models cannot describe nonlinear models, etc., to reduce transmission corridors, reduce land acquisition and construction costs of lines , the effect of improving the prediction accuracy

Active Publication Date: 2021-01-05
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Current models of the electromagnetic environment suffer from two important deficiencies: first, most models are trained via multiple linear regression, and linear models cannot describe complex nonlinear models

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 Data Mining-Based Prediction Method for Electromagnetic Environment Parameters of Transmission Lines
  • A Data Mining-Based Prediction Method for Electromagnetic Environment Parameters of Transmission Lines
  • A Data Mining-Based Prediction Method for Electromagnetic Environment Parameters of Transmission Lines

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] A method for predicting electromagnetic environment parameters of transmission lines based on data mining, such as figure 1 shown, including the following steps:

[0051] S1: collect data, the data includes the basic parameters of the line, the electromagnetic environment parameters, the space electric field parameters and the ion flow parameters. In this embodiment, the basic parameter information of the ±800 kV direct current transmission line and its corresponding electromagnetic environment parameters, space electric field parameters and ion flow parameters are mainly collected. The specific parameters and units are as follows:

[0052] Basic line parameters:

[0053] The number of split wires, the diameter of sub-wires (cm), the distance between split wires (cm), the distance between poles (m), the average height of wires (m), and the altitude (m);

[0054] Electromagnetic environment parameters:

[0055] Corona discharge (CL, kW / km), radio interference (RI, dB...

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 data mining-based prediction method for electromagnetic environment parameters of a power transmission line. The method comprises the following steps of (1) collecting data;(2) partitioning the data; (3) analyzing a relationship among the electromagnetic environment parameters; (4) analyzing a relationship between a spatial electric field and an ion current parameter; (5) analyzing main factors influencing an electromagnetic environment; and (6) predicting the electromagnetic environment parameters and spatial electric field parameters. By applying the method, line parameters such as a wire type, a wire splitting interval, an inter-polar distance and the like can be further optimized in a line design stage; a more environment-friendly power network development mode is realized; power transmission corridors are reduced as far as possible; land acquisition and construction costs of the line are reduced; and the method has major engineering practical values.

Description

technical field [0001] The invention belongs to the technical field of electric power system electromagnetic environment protection, and in particular relates to a method for predicting electromagnetic environment parameters of transmission lines based on data mining. Background technique [0002] The electromagnetic environment is the main consideration in the design of transmission lines, and the source of the electromagnetic environment of transmission lines is the corona discharge of the line. On the one hand, corona discharge will cause power loss and increase the cost of power transmission; on the other hand, it will affect the electromagnetic environment around the wire and further interfere with people's normal life. With the continuous development of the economy and the enhancement of people's environmental awareness, the electromagnetic environment problem has attracted more and more attention. The electromagnetic environment problem of transmission lines has becom...

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): G06F30/20G06F113/16
CPCG06F30/20G06F2113/16
Inventor 尹立群郭丽娟张玉波张炜吴秋莉颜海俊邬蓉蓉
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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