Unlock instant, AI-driven research and patent intelligence for your innovation.

A power network line fault risk early warning method based on SVM

A technology for early warning of line faults and risks, which is applied in the field of power grid planning and SVM-based power grid line fault risk early warning, can solve the problems of single disaster meteorological conditions, regardless of the importance of lines in the power grid, and lack of universality. The effect of economic benefits

Active Publication Date: 2019-02-19
STATE GRID FUJIAN ELECTRIC POWER CO LTD +1
View PDF19 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The disaster meteorological conditions considered in the existing power grid line disaster early warning are single, and generally only the disaster vulnerability of the power grid line is used for early warning, regardless of the importance of the line in the power grid
Its early warning implementation method is mainly realized through highly subjective algorithms such as analytic hierarchy process, which is not universal

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 power network line fault risk early warning method based on SVM
  • A power network line fault risk early warning method based on SVM
  • A power network line fault risk early warning method based on SVM

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0040] Such as figure 1 As shown, the present invention provides a kind of SVM-based power grid line fault risk early warning method, comprises the following steps:

[0041] Step S1. Establish a learning data set for the SVM power grid line fault risk early warning algorithm by using the line history fault information of the early warning target grid. Data on four aspects of disaster losses;

[0042] Step S2, using the learning data set in step S1 to learn the SVM algorithm, and output the SVM power grid line fault risk early warning algorithm;

[0043] Step S3, establishing a data set of the basic line conditions of the early warning target grid;

[0044] Step S4, using the SVM power grid line fault risk early warning algorithm obtained in step S2 and the line basic situation data set of the early warning target power grid in step S3 ...

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 relates to a power network line fault risk early warning method based on SVM. This method utilizes SVM to learn the characteristics and consequences of the line affected by disasters, and and comprehensively analyzes and quantifies the vulnerability of the line to disasters and the results after damage. The invention comprehensively considers the influence of wind disaster, lightningdisaster and other disasters on the power network, and comprehensively analyzes the disaster loss of the power network caused by the line fault corresponding to the line according to the disaster resistance performance of the power network itself and the importance degree of the line in the power network. The invention solves the problem that the power grid fault risk early warning has strong subjectivity, the use range is narrow, and the meteorological elements considered are single, which does not meet the disadvantages of the actual grid line disaster situation, and the support vector machine algorithm is used instead of the analytic hierarchy process. the single meteorological element is replaced with three common meteorological elements. The present invention also considers the importance of the line in the power network structure, and can bring better economic benefit as a reference of the power network disaster prevention planning.

Description

technical field [0001] The invention belongs to the field of power grid planning related to the different planning of power grid disaster prevention, and in particular relates to an SVM-based power grid line fault risk early warning method. Background technique [0002] In the past decade, major power system accidents caused by natural disasters have occurred frequently. Natural disasters such as floods, typhoons, and earthquakes have caused physical structural damage to power grids and power grid equipment, and their repairs take a long time and require a lot of manpower and material resources, which have brought great losses to national production and life. Disaster-resistant power system planning can greatly reduce the losses caused by natural disasters to the power system and society; and the early warning of power grid line failure risk under disaster conditions is the basis for disaster-resistant construction and disaster-proof transformation of power grids. [0003] ...

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): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06
Inventor 张林垚施鹏佳雷勇宣菊琴陈雪
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD