Transmission line malfunction early-warning method and system based on big data driving

A technology driven by big data and transmission lines, which is applied in data processing applications, electrical digital data processing, special data processing applications, etc. It can solve the problems of poor timeliness of information response, difficulty in achieving comprehensive and forward-looking fault prediction, and large quantities of data, etc. problems, to achieve the effect of improving comprehensiveness and foresight, realizing exception tracking, and avoiding correlation

Active Publication Date: 2017-05-31
CHINA SOUTHERN POWER GRID COMPANY +1
View PDF4 Cites 41 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For some areas with weak power grids, a single line failure may cause load loss
[0003] At present, most of the related research on transmission line faults only relies on existing data to diagnose faults. In fact, power systems have problems such as single uploaded data, large quantities,

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
  • Transmission line malfunction early-warning method and system based on big data driving
  • Transmission line malfunction early-warning method and system based on big data driving
  • Transmission line malfunction early-warning method and system based on big data driving

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0048]It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0049] An embodiment of the present invention provides a transmission line fault early warning method driven by b...

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 transmission line malfunction early-warning method and a system based on big data driving. The transmission line malfunction early-warning method comprises the following steps: acquiring related information of a power transmission line, wherein the related information of the power transmission line comprises electricity quantity, meteorological data, malfunction even sequence information and power grid topological data; extracting characteristics of the related information of the power transmission line, and furthermore establishing a malfunction factor mining databank and a malfunction judgment characteristic bank; based on a Naive Bayes algorithm, performing malfunction factor index mining on data in a current malfunction factor mining databank, and furthermore performing abnormal state tracking on an abnormal malfunction factor; transmitting the malfunction factor index of the abnormal malfunction factor to the malfunction judgment characteristic bank, matching an early-warning information time sequence generated in real time inside the malfunction judgment characteristic bank with a preset malfunction standard time sequence on the basis of a time sequence similarity malfunction matching method, outputting early-warning information corresponding to the matched early-warning information time sequences, and performing early-warning of malfunctions.

Description

technical field [0001] The invention belongs to the field of intelligent electricity utilization, and in particular relates to a transmission line fault early warning method and system driven by big data. Background technique [0002] With the development of society and economy, the dependence on electricity is getting stronger and stronger. Large-scale power outages often start from the failure of a certain line of the power grid, and continue to expand with the strong correlation and vulnerable links of the power grid topology. For some areas with weak power grids, a single line failure may lead to load loss. [0003] At present, most of the related research on transmission line faults only relies on existing data to diagnose faults. In fact, power systems have problems such as single uploaded data, large quantities, and poor comprehensiveness, which makes it difficult to achieve fault prediction relying on such data. Comprehensive and forward-looking, poor information re...

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): G06Q10/06G06F17/30G06Q50/06
CPCG06Q10/0635G06Q50/06G06F16/2465
Inventor 丁晓兵余江郑茂然陈宏山吕梁张静伟高宏慧刘智勇
Owner CHINA SOUTHERN POWER GRID COMPANY
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