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Multiple source localization for partial discharge monitoring in electrical substation.

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

Authors

Y. Zhang

D. Upton

A. Jaber

H. Ahmed

B. Saeed

P. Mather

P. Lazaridis

R. Atkinson

M.F.Q. Vieira

I. A. Glover



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.

Citation

ZHANG, Y., UPTON, D., JABER, A., AHMED, H., KHAN, U., SAEED, B., MATHER, P., LAZARIDIS, P., ATKINSON, R., VIEIRA, M.F.Q. and GLOVER, I.A. 2015. Multiple source localization for partial discharge monitoring in electrical substation. In Proceedings of 2015 Loughborough antennas and propagation conference (LAPC 2015), 2-3 November 2015, Loughbrough, UK. Piscataway: IEEE [online], article ID 7366001. Available from: https://doi.org/10.1109/LAPC.2015.7366001

Conference Name 2015 Loughborough antennas and propagation conference (LAPC 2015)
Conference Location Loughborough, United Kingdom
Start Date Nov 2, 2015
End Date Nov 3, 2015
Acceptance Date Jun 1, 2015
Online Publication Date Nov 3, 2015
Publication Date Dec 24, 2015
Deposit Date Nov 6, 2020
Publicly Available Date Nov 6, 2020
Publisher Institute of Electrical and Electronics Engineers
ISBN 9781479989430
DOI https://doi.org/10.1109/lapc.2015.7366001
Keywords Partial discharge; Localization; Multiple sources; Comprssive sensing
Public URL https://rgu-repository.worktribe.com/output/982176

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