Partial discharge detection in smart grid using software defined radio

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2017 25th Telecommunication Forum (TELFOR)
PublisherIEEE
ISBN (Electronic)9781538630730
DOIs
Publication statusPublished - 8 Jan 2018
Event25th Telecommunication Forum 2017 - Belgrade, Serbia
Duration: 21 Nov 201722 Nov 2017

Conference

Conference25th Telecommunication Forum 2017
Abbreviated titleTELFOR 2017
CountrySerbia
CityBelgrade
Period21/11/1722/11/17

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  • Cite this

    Mohamed, H., Lazaridis, P. I., Khan, U., Saeed, B., Mistry, K., Upton, D., Mather, P. J., & Glover, I. A. (2018). Partial discharge detection in smart grid using software defined radio. In 2017 25th Telecommunication Forum (TELFOR) [8249457] IEEE. https://doi.org/10.1109/TELFOR.2017.8249457