Review of the intelligent fault-location in the transmission line

Yehui Xie, Chi Liu, Mei Wang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Transmission line is related to the security and stability of the power system, and it is the basis of the ensuring power supply. It is very important to ensure the normal operation of the transmission line and timely find and repair the faulty transmission line. This requires accurate identification of the fault type and the distance when a fault occurs. Therefore, this paper comprehensively summarizes the transmission line fault diagnosis technology and its research status. And the fault analysis method, traveling wave method, intelligent positioning method and other methods are analyzed and combed. On this basis, the research and application prospects of the artificial intelligence positioning method based on deep learning are summarized and prospected.

Original languageEnglish
Title of host publicationInternational Symposium on Artificial Intelligence and Robotics 2021
EditorsHuimin Lu, Shenglin Mu, Shota Nakashima
PublisherSPIE
ISBN (Electronic)9781510646124
DOIs
Publication statusPublished - 2021
EventInternational Symposium on Artificial Intelligence and Robotics 2021 - Fukuoka, Japan
Duration: 21 Aug 202127 Aug 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11884
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInternational Symposium on Artificial Intelligence and Robotics 2021
Country/TerritoryJapan
CityFukuoka
Period21/08/2127/08/21

Keywords

  • Deep learning
  • Fault diagnoses
  • Intelligent location
  • Traveling wave

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