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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.

Authors

Hamd Mohamed

Pavlos I. Lazaridis

Bahghtar Saeed

Keyur Mistry

David Upton

Peter J. Mather

Ian A. Glover



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

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