Wireless sensor network for radiometric detection and assessment of partial discharge in HV equipment.

Upton, D.W.; Saeed, B.I.; Khan, U.; Jaber, A.; Mohamed, H.; Mistry, K.; Mather, P.J.; Lazaridis, P.; Vieira, M.F.Q.; Atkinson, R.; Tachtatzis, C.; Iorkyase, E.; Judd, M.; Glover, I.A.

Abstract

Monitoring of partial discharge (PD) activity within high voltage electrical environments is frequently used for the assessment of insulation condition. Traditional measurement techniques employ technologies that require either offline installation or high power consumption and cost. A wireless sensor network is proposed that utilizes only received signal strength to locate partial discharge within a high-voltage electricity substation. The network comprises low-power and low cost radiometric sensor nodes which receive the radiation propagated from a source of partial discharge. Results are reported from a test performed within a large indoor environment with a network of nine sensor nodes. An emulated PD source was placed at multiple locations within the network. Signal strength measured by the nodes is reported via WirelessHART to a data collection hub where it is processed using a location algorithm. The results obtained place the measured location within 2 m of the actual source location.

Citation

UPTON, D.W., SAEED, B.I., KHAN, U., JABER, A., MOHAMED, H., MISTRY, K., MATHER, P.J., LAZARIDIS, P., VIEIRA, M.F.Q., ATKINSON, R., TACHTATZIS, C., IORKYASE, E., JUDD, M. and GLOVER, I.A. 2017. Wireless sensor network for radiometric detection and assessment of partial discharge in HV equipment. In Proceedings of 32nd Union Radio Science international (URSI) General assembly and scientific symposium 2017 (URSI GASS 2017), 19-26 August 2017, Montreal, Canada. Piscataway: IEEE [online], article ID 8104973. Available from: https://doi.org/10.23919/URSIGASS.2017.8104973

• Conference Name: 32nd Union of Radio Science international (URSI) General assembly and scientific symposium 2017 (URSI GASS 2017)
• Conference Location: Montreal, Canada
• Start Date: Aug 19, 2017
• End Date: Aug 26, 2017
• Acceptance Date: Aug 17, 2017
• Online Publication Date: Aug 17, 2017
• Publication Date: Nov 13, 2017
• Deposit Date: Nov 2, 2020
• Publicly Available Date: Nov 2, 2020
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• ISBN: 9789082598704
• DOI: https://doi.org/10.23919/URSIGASS.2017.8104973
• Keywords: Partial discharges; Radiometry; Wireless sensor networks
• Public URL: https://rgu-repository.worktribe.com/output/980272