Partial discharge detection using low cost RTL-SDR model for wideband spectrum sensing.

Mohamed, H.; Lazaridis, P.; Upton, D.; Khan, U.; Saeed, B.; Jaber, A.; Zhang, Y.; Mather, P.; Vieira, M.F.Q.; Barlee, K.W.; Atkinson, D.S.W.; Mihovska, A.; Gavrilovska, L.; Glover, I.A.

Abstract

Partial discharge (PD) is one of the predominant factors to be controlled to ensure reliability and undisrupted functions of power generators, motors, Gas Insulated Switchgear (GIS) and grid connected power distribution equipment, especially in the future smart grid. The emergence of wireless technology has provided numerous opportunities to optimise remote monitoring and control facilities that can play a significant role in ensuring swift control and restoration of HV plant equipment. In order to monitor PD, several approaches have been employed, however, the existing schemes do not provide an optimal approach for PD signal analysis, and are very costly. In this paper an RTL-SDR (Software Defined Radio) based spectrum analyser has been proposed in order to provide a potentially low cost solution for PD detection and monitoring. Initially, a portable spectrum analyser has been used for PD detection that was later replaced by an RTL-SDR device. The proposed schemes exhibit promising results for spectral detection within the VHF and UHF band.

Citation

MOHAMED, H., LAZARIDIS, P., UPTON, D., KHAN, U., SAEED, B., JABER, A., ZHANG, Y., MATHER, P., VIEIRA, M.F.Q., BARLEE, K.W., ATKINSON, D.S.W., MIHOVSKA, A., GAVRILOVSKA, L. and GLOVER, I.A. 2016. Partial discharge detection using low cost RTL-SDR model for wideband spectrum sensing. In Proceedings of 23rd International conference on telecommunications 2016 (ICT 2016), 16-18 May 2016, Thessaloniki, Greece. Piscataway: IEEE [online], article ID 7500353. Available from: https://doi.org/10.1109/ICT.2016.7500353

• Conference Name: 23rd International conference on telecommunications (ICT)
• Conference Location: Thessaloniki, Greece
• Start Date: May 16, 2016
• End Date: May 18, 2016
• Acceptance Date: Mar 13, 2016
• Online Publication Date: May 18, 2016
• Publication Date: Jun 30, 2016
• Deposit Date: Nov 5, 2020
• Publicly Available Date: Nov 5, 2020
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• ISBN: 9781479980789
• DOI: https://doi.org/10.1109/ICT.2016.7500353
• Keywords: Partial discharge detection; Spectrum sensing; RTL-SDR; Software defined radio
• Public URL: https://rgu-repository.worktribe.com/output/982121