Automated double-ended traveling wave record correlation for transmission line disturbance analysis

Guangbin Zhang, Hongchun Shu, Yuan Liao

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


Automating analysis and correlation of traveling wave data of the same fault event from two terminals of a transmission line is essential for automated double-ended traveling wave based fault location and disturbance analysis. This paper presents a traveling wave data detection and correlation matching method. This method is capable of detecting disturbance events on transmission lines obtained at different terminals based on synchronized data. The traveling waves caused by the same disturbance tend to be captured by multiple recording devices at different observation points, resulting in a significant change in only a few channels for each captured record. The waveform pixel ratio and the featured line of waveforms are extracted based on the possible disturbances that can be identified and recorded at a local database. The correlated searching and feature matching is executed for the remote record database. The correlated traveling wave data for disturbance events can be acquired and then used for locating the event and further analysis. The proposed method is able to extract the effective traveling wave segment corresponding to the same disturbance event from the database at different observation points. This facilitates the automated double-end location. Test results based on field data have demonstrated the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)242-250
Number of pages9
JournalElectric Power Systems Research
StatePublished - Jul 2016

Bibliographical note

Publisher Copyright:
© 2016 Elsevier B.V. All rights reserved.


  • Active search
  • Disturbance analysis
  • Event correlation
  • Fault location
  • Traveling waves

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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