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.

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 (IEEE)
• 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