Partial Discharge detection in smart grid using Software Defined Radio

Hamd Mohamed, Pavlos Lazaridis, Umar Khan, Bahghtar Saeed, Keyur Mistry, David Upton, Peter Mather, Ian 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 publicationProceedings of the 25th Telecommunication Forum (TELFOR), (Belgrade, 21-22 November 2017)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781538630730
ISBN (Print)9781538630747
DOIs
Publication statusPublished - 8 Jan 2018
Event25th Telecommunications Forum - Belgrade, Serbia
Duration: 21 Nov 201722 Nov 2017
Conference number: 25
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8234842 (Link to Conference Proceedings)

Conference

Conference25th Telecommunications Forum
Abbreviated titleTELFOR 2017
CountrySerbia
CityBelgrade
Period21/11/1722/11/17
Internet address

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Cite this

Mohamed, H., Lazaridis, P., Khan, U., Saeed, B., Mistry, K., Upton, D., ... Glover, I. (2018). Partial Discharge detection in smart grid using Software Defined Radio. In Proceedings of the 25th Telecommunication Forum (TELFOR), (Belgrade, 21-22 November 2017) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TELFOR.2017.8249457