35kV power line fault traveling wave extraction method based on affinity propagation clustering

A fault traveling wave and neighbor propagation technology, which is applied in the direction of detecting faults, fault locations, and measuring electricity according to conductor types. The effect of reducing impact, high accuracy and reliability of identification, and strong anti-interference ability

Pending Publication Date: 2021-03-16
YUNNAN POWER GRID CO LTD PUER POWER SUPPLY BUREAU
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a 35kV power line fault traveling wave extraction method based on neighbor propagation clustering, which solves the problems that the 35kV power line fault traveling wave extraction is easily interfered by power noise, which leads to malfunction of the traveling wave positioning system and increases position

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
  • 35kV power line fault traveling wave extraction method based on affinity propagation clustering
  • 35kV power line fault traveling wave extraction method based on affinity propagation clustering
  • 35kV power line fault traveling wave extraction method based on affinity propagation clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] The present invention will be further described in detail below in conjunction with the examples.

[0060] Those skilled in the art will understand that the following examples are only for illustrating the present invention and should not be considered as limiting the scope of the present invention. Those who do not indicate specific techniques or conditions in the embodiments shall be carried out according to the techniques or conditions described in documents in the art or according to the product instructions. The materials or equipment used without the manufacturer indicated are all conventional products that can be obtained through purchase.

[0061] The fault traveling wave extraction method of 35kV power line based on neighbor propagation clustering includes the following steps:

[0062] Step 1, data preprocessing: denoise the collected traveling wave signal, and then perform coordinate transformation from the time domain coordinate system to the frequency domai...

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 35kV power line fault traveling wave extraction method based on affinity propagation clustering, and belongs to the technical field of 35kV power line fault distance measurement. The method comprises the steps of data preprocessing, fault traveling wave signal characteristic parameter extraction, affinity propagation clustering calculation and the like. According to themethod, the influence of interference signals generated by power noise on a 35kV power line fault accurate positioning system is reduced, switching value signals do not need to be extracted, clustering calculation is conducted on traveling wave signals through affinity propagation clustering, and misjudgment generated by interference of the interference traveling wave signals is eliminated according to the clustering characteristics of the interference traveling wave signals. Meanwhile, the method enables the 35kV power line fault accurate positioning system to identify lightning stroke multi-source discharge points, and is easy to popularize and apply.

Description

technical field [0001] The invention belongs to the technical field of 35kV power line fault distance measurement, and in particular relates to a method for extracting traveling waves of 35kV power line faults based on neighbor propagation clustering. Background technique [0002] There are mainly two kinds of existing effective traveling wave extraction technologies, namely: (1) use the time-domain waveform analysis method to extract effective traveling wave signals to identify lightning faults; (2) use the switching value method to filter and extract effective traveling waves The noise interferes with the signal acquisition of the positioning system. [0003] For (1), the principle of time-domain waveform analysis method to extract traveling wave signals to identify lightning strike faults is to describe the time-domain waveform characteristics of various types of lightning strike faults: surrounding lightning, direct lightning, and induction lightning, so that Lightning ...

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): G01R31/08G06K9/00G06K9/62
CPCG01R31/085G01R31/088G06F2218/04G06F2218/08G06F18/2323
Inventor 黄博王辉春苏伟基熊晓川戴庆源李文亮聂瑛王宏锋周欢李卫王丹露李学妨
Owner YUNNAN POWER GRID CO LTD PUER POWER SUPPLY BUREAU
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