Skip to main navigation Skip to search Skip to main content

A Novel Fault Detection and Fault Location Method for VSC-HVDC Links Based on Gap Frequency Spectrum Analysis

  • Qingqing Yang
  • , Simon Le Blond
  • , Bertrand Cornelusse
  • , Philippe Vanderbemden
  • , Jianwei Li*
  • *Corresponding author for this work
  • Beijing Electric Power Company
  • University of Bath
  • University of Liege

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper proposes a one-end gap-based fault location method for VSC-HVDC transmission line using the fault current signal. Using the post-fault current time series, the frequency spectrum is generated for measuring the gaps between the contiguous peak frequencies. This method is able to locate the fault by analyzing the single-end fault current, which guarantees a faster response than using two-end data. The new gap-based approach is able to give accurate fault detection using any appropriate range of post-fault signal. Furthermore, the proposed method is fault resistance independent. A two-terminal VSC-HVDC system is modeled in PSCAD/EMTDC. The algorithm is verified by studying different cases of different fault resistances in various fault locations. The result shows that the proposed method gives an accurate and reliable fault location detection along DC transmission line. In addition, the proposed algorithm can be potentially used in other HVDC systems.

Original languageEnglish
Pages (from-to)2243-2249
Number of pages7
JournalEnergy Procedia
Volume142
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event9th International Conference on Applied Energy, ICAE 2017 - Cardiff, United Kingdom
Duration: 21 Aug 201724 Aug 2017

Keywords

  • Fault current signal
  • VSC-HVDC system
  • fault detection
  • fault location transmission line

Fingerprint

Dive into the research topics of 'A Novel Fault Detection and Fault Location Method for VSC-HVDC Links Based on Gap Frequency Spectrum Analysis'. Together they form a unique fingerprint.

Cite this