Partial discharge detection in smart grid using software defined radio.

Mohamed, Hamd; Lazaridis, Pavlos I.; Khan, Umar; Saeed, Bahghtar; Mistry, Keyur; Upton, David; Mather, Peter J.; Glover, Ian A.

Abstract

Smart grid is the term used to describe the next generation power grid in which the management of electricity distribution is enhanced by advanced two-way communications, so that it monitors, protects, and takes decisions automatically to optimize the operation of its interconnected elements. The smart grid is made possible by combining two-way communications and persistent computing capabilities, to enhance control, efficiency, reliability, and safety. Using two-way digital technologies, a smart grid can transport electricity between suppliers and consumers. Such technology allows consumers to save energy, reduce cost and increase their smart appliances' efficiency, reliability and transparency. Software Defined Radio (SDR) is a promising technology, it can support the smart grid so that it can provide control, protection and automatic optimization to operate its interconnected elements effectively and efficiently. This paper proposes the use of Software Defined Radio (SDR) for Partial Discharge (PD) detection and localization at the user end in the smart grid.

Citation

MOHAMED, H., LAZARIDIS, P.I., KHAN, U., SAEED, B., MISTRY, K., UPTON, D., MATHER, P.J. and GLOVER, I.A. 2017. Partial discharge detection in smart grid using software defined radio. In Proceedings of 25th Telecommunications forum 2017 (TELFOR 2017), 21-22 November 2017, Belgrade, Serbia. Piscataway: IEEE [online], article ID 8249457. Available from: https://doi.org/10.1109/TELFOR.2017.8249457

• Conference Name: 25th Telecommunication forum 2017 (TELFOR 2017)
• Conference Location: Belgrade, Serbia
• Start Date: Nov 21, 2017
• End Date: Nov 22, 2017
• Acceptance Date: Nov 1, 2017
• Online Publication Date: Nov 22, 2017
• Publication Date: Jan 8, 2018
• Deposit Date: Oct 13, 2020
• Publicly Available Date: Oct 13, 2020
• Publisher: Institute of Electrical and Electronics Engineers
• ISBN: 9781538630723; 9788674667071
• DOI: https://doi.org/10.1109/telfor.2017.8249457
• Keywords: Software defined radio; RTL-SDR dongles; Received signal strength; Partial discharge
• Public URL: https://rgu-repository.worktribe.com/output/975926