Line outage detection using support Vector Machine (SVM) based on the Phasor Measurement Units (PMUs) technology

A. Y. Abdelaziz, S. F. Mekhamer, M. Ezzat, E. F. El-Saadany

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

33 Scopus citations

Abstract

Phasor Measurement Units (PMUs) have been increasingly widespread throughout the power network. As a result, several researches have been made to locate the PMUs for complete system observability. Many protection applications are based upon the PMUs locations. This paper introduces an important application in power system protection which is the detection of single line outage. In addition, a detection of the outaged line is achieved depending on the variations of phase angles measured at the system buses where the PMUs are located. Hence, a protection scheme from unexpected overloading in the network that may lead to system collapse can be achieved. Such detections are based upon an artificial intelligence technique which is the support Vector Machine (SVM) classification tool. To demonstrate the effectiveness of the proposed approach, the algorithm is tested using offline simulation for the 14-bus IEEE system.

Original languageBritish English
Title of host publication2012 IEEE Power and Energy Society General Meeting, PES 2012
DOIs
StatePublished - 2012
Event2012 IEEE Power and Energy Society General Meeting, PES 2012 - San Diego, CA, United States
Duration: 22 Jul 201226 Jul 2012

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2012 IEEE Power and Energy Society General Meeting, PES 2012
Country/TerritoryUnited States
CitySan Diego, CA
Period22/07/1226/07/12

Keywords

  • Phasor measurement units
  • PSCAD
  • Support vector machines
  • Transmission line measurements

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