Multiple source localization for partial discharge monitoring in electrical substation

Zhang, Y. and Upton, D. and Jaber, A. and Ahmed, H. and Khan, U. and Saeed, B. and Mather, P. and Lazaridis, P. and Atkinson, R. and Vieira, M. F Q and Glover, I. A. (2015) Multiple source localization for partial discharge monitoring in electrical substation. In: 2015 Loughborough Antennas and Propagation Conference, LAPC 2015. Institute of Electrical and Electronics Engineers Inc., Piscataway, N.J.. ISBN 9781479989430

[img]
Preview
Text (Zhang-etal-LAPC-2015-Multiple-source-localization-for-partial-discharge)
Zhang_etal_LAPC_2015_Multiple_source_localization_for_partial_discharge.pdf
Accepted Author Manuscript

Download (397kB)| Preview

    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.