Method for evaluating pollution flashover fault probabilities of power transmission lines in online manner

A technology of failure probability and transmission line, applied in the fields of electrical digital data processing, climate sustainability, instruments, etc., can solve the problems of complex mechanism, difficult to determine the accurate model of transmission line failure, no power grid security research, etc., to achieve strong adaptation The effect of functionality and practicality

Active Publication Date: 2013-12-25
STATE GRID CORP OF CHINA +1
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, these studies are all studies on insulator hardware systems, relying on a large number of tests on insulators and data fitting methods, and have not studied from the perspective of power grid security
Because many factors need to be considered in the evaluation of the probabi

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
  • Method for evaluating pollution flashover fault probabilities of power transmission lines in online manner
  • Method for evaluating pollution flashover fault probabilities of power transmission lines in online manner
  • Method for evaluating pollution flashover fault probabilities of power transmission lines in online manner

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The present invention will be described in further detail below with reference to the accompanying drawings and examples.

[0034] figure 1 Step 1 in the above describes the aggregation of real-time weather forecast information (rain, fog size and scope, etc.) and live information (fog intensity, duration, etc.), real-time power grid working condition information and monitoring information in the control center.

[0035] figure 1 In step 2, it is described that by comparing the geographical features and surrounding environmental features along the line and their influence on rainfall intensity and fog size, the lines with similar geographical features and surrounding environmental features are divided into one section, and the total number of sections of the line is set as m.

[0036] figure 1 Step 3 is to use the weather forecast information, measured information and line static information for each section of the line to evaluate the dynamic variables required for ...

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 method for evaluating pollution flashover fault probabilities of power transmission lines in an online manner, and belongs to the technical field of power systems and automation for the power systems. The method includes quantitatively evaluating effects of geographical environments and weather factors such as rain and fog on the power transmission lines; computing the pollution flashover fault probabilities of the lines. The key external weather factors which cause flashover of the power transmission lines are evaluated, and influence factors are quantized in an earlier stage; the fault probabilities of pollution flashover of the power transmission lines under the induction effect of weather such as the rain and the fog are computed in a later stage. The method has the advantages that the pollution flashover probabilities of insulators under different weather conditions are dynamically evaluated according to change of the external weather and the external environments, and the method is based on a theory that flashover faults of the lines are caused by the external weather, and accordingly is high in practicality and adaptability.

Description

technical field [0001] The invention belongs to the technical field of electric power systems and automation thereof. More precisely, the invention relates to an online evaluation method for pollution flashover failure probability of power transmission lines. Background technique [0002] With the rapid development of my country's economy, the atmospheric environment in economically developed areas continues to deteriorate, and the content of acidic substances, dust and other pollutants contained in the air continues to increase, which makes the surface of insulators more polluted. Studies have shown that although the number of pollution flashover accidents is not the highest among natural disasters, the losses caused by pollution flashover accidents may be as high as 10 times the losses caused by lightning. Therefore, in order to build a strong smart grid and enhance the grid's ability to resist pollution flashover accidents, pollution flashover early warning should be adde...

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): G06F19/00
CPCY02A90/10
Inventor 薛禹胜谢云云
Owner STATE GRID CORP OF CHINA
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