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

doi:10.1109/TELFOR.2017.8249457

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 proceeding › Conference contribution › peer-review

6 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 language	English
Title of host publication	Proceedings of the 25th Telecommunication Forum (TELFOR), (Belgrade, 21-22 November 2017)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	4
ISBN (Electronic)	9781538630730
ISBN (Print)	9781538630747
DOIs	https://doi.org/10.1109/TELFOR.2017.8249457
Publication status	Published - 8 Jan 2018
Event	25th Telecommunications Forum - Belgrade, Serbia Duration: 21 Nov 2017 → 22 Nov 2017 Conference number: 25 https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8234842 (Link to Conference Proceedings)

Conference

Conference	25th Telecommunications Forum
Abbreviated title	TELFOR 2017
Country/Territory	Serbia
City	Belgrade
Period	21/11/17 → 22/11/17
Internet address	https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8234842 (Link to Conference Proceedings)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TELFOR.2017.8249457Licence: Unspecified

Partial Discharge detection in smart grid using Software Defined RadioAccepted author manuscript, 621 KBLicence: Unspecified

Cite this

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title = "Partial Discharge detection in smart grid using Software Defined Radio",

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{\textquoteright} 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.",

keywords = "Software defined radio, RTL-SDR dongles, Received Signal Strength, Partial Discharge, Software Defined Radio",

author = "Hamd Mohamed and Pavlos Lazaridis and Umar Khan and Bahghtar Saeed and Keyur Mistry and David Upton and Peter Mather and Ian Glover",

note = "{\textcopyright} {\textcopyright} 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 25th Telecommunications Forum, TELFOR 2017 ; Conference date: 21-11-2017 Through 22-11-2017",

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language = "English",

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booktitle = "Proceedings of the 25th Telecommunication Forum (TELFOR), (Belgrade, 21-22 November 2017)",

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Mohamed, H, Lazaridis, P, Khan, U, Saeed, B, Mistry, K, Upton, D, Mather, P & 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., 25th Telecommunications Forum, Belgrade, Serbia, 21/11/17. https://doi.org/10.1109/TELFOR.2017.8249457

Partial Discharge detection in smart grid using Software Defined Radio. / Mohamed, Hamd; Lazaridis, Pavlos; Khan, Umar et al.

Proceedings of the 25th Telecommunication Forum (TELFOR), (Belgrade, 21-22 November 2017). Institute of Electrical and Electronics Engineers Inc., 2018.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Mohamed, Hamd

AU - Lazaridis, Pavlos

AU - Khan, Umar

AU - Saeed, Bahghtar

AU - Mistry, Keyur

AU - Upton, David

AU - Mather, Peter

AU - Glover, Ian

N1 - Conference code: 25

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AB - 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.

KW - Software defined radio

KW - RTL-SDR dongles

KW - Received Signal Strength

KW - Partial Discharge

KW - Software Defined Radio

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BT - Proceedings of the 25th Telecommunication Forum (TELFOR), (Belgrade, 21-22 November 2017)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Telecommunications Forum

Y2 - 21 November 2017 through 22 November 2017

ER -

Partial Discharge detection in smart grid using Software Defined Radio

Abstract

Conference

UN SDGs

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