Comparison of statistical algorithms for power system line outage detection

Georgios Rovatsos, Xichen Jiang, Alejandro D. Dominguez-Garcia, Venugopal V. Veeravalli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a statistical algorithm for detecting line outages in a power system and show that it has better performance than other schemes proposed in the literature. Our algorithm is based on the Cumulative Sum (CuSum) test from the Quickest Change Detection (QCD) literature. It exploits the statistical properties of the measured voltage phase angles before, during, and after a line outage, whereas other methods in the literature only utilize the change in statistics that occurs at the instant of outage.

Original languageEnglish (US)
Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2946-2950
Number of pages5
ISBN (Electronic)9781479999880
DOIs
StatePublished - May 18 2016
Event41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China
Duration: Mar 20 2016Mar 25 2016

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2016-May
ISSN (Print)1520-6149

Other

Other41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Country/TerritoryChina
CityShanghai
Period3/20/163/25/16

Keywords

  • CuSum test
  • Power systems
  • Shewhart test
  • line outage detection
  • quickest change detection

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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