Automated analysis of voltage and current waveforms during faults

Wen Fan, Yuan Liao

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

2 Scopus citations

Abstract

Automated fault analysis becomes increasingly desirable because an increasing volume of fault data have been captured by various types of recording devices in power systems. This paper presents developments on algorithms and software related to automated fault analysis. Our analysis is based on voltage and current waveforms. We have developed algorithms to effectively identify the fault types, fault starting time, and fault duration, which are capable of handling faults with evolving fault types. The software module that implements the algorithms is delineated. Sample analysis results based on field data are reported.

Original languageEnglish
Title of host publicationProceedings of the 2012 44th Southeastern Symposium on System Theory, SSST 2012
Pages214-219
Number of pages6
DOIs
StatePublished - 2012
Event2012 44th Southeastern Symposium on System Theory, SSST 2012 - Jacksonville, FL, United States
Duration: Mar 11 2012Mar 13 2012

Publication series

NameProceedings of the Annual Southeastern Symposium on System Theory

Conference

Conference2012 44th Southeastern Symposium on System Theory, SSST 2012
Country/TerritoryUnited States
CityJacksonville, FL
Period3/11/123/13/12

Keywords

  • Fault analysis
  • Fault type classification
  • superimposed component
  • voltage and current waveform

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Mathematics

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