Multiple source localization for partial discharge monitoring in electrical substation

Y. Zhang, D. Upton, A. Jaber, H. Ahmed, U. Khan, B. Saeed, P. Mather, P. Lazaridis, R. Atkinson, M. F Q Vieira, I. A. Glover

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

11 Citations (Scopus)
11 Downloads (Pure)

Abstract

This paper studies novel localization methods of multiple partial discharge sources in electrical substations. The three compressive sensing algorithms of Orthogonal Matching Pursuit (OMP), Homotopy technique, and Dichotomous coordinate descent (DCD) are presented. The simulation results demonstrate excellent performance with the compressive sensing methods.

Original languageEnglish
Title of host publication2015 Loughborough Antennas and Propagation Conference, LAPC 2015
Place of PublicationPiscataway, N.J.
Number of pages4
DOIs
Publication statusPublished - 24 Dec 2015
Event2015 Loughborough Antennas & Propagation Conference (LAPC) - Loughborough, United Kingdom
Duration: 2 Nov 20153 Nov 2015

Conference

Conference2015 Loughborough Antennas & Propagation Conference (LAPC)
CountryUnited Kingdom
CityLoughborough
Period2/11/153/11/15

Keywords

  • compressive sensing
  • localization
  • multiple sources
  • partial discharge

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