Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41543

Automated Anomaly Detection in Distribution Grids Using uPMU Measurements

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Title: Automated Anomaly Detection in Distribution Grids Using uPMU Measurements
Authors: Jamei, Mahdi
Scaglione, Anna
Roberts, Ciaran
Stewart, Emma
Peisert, Sean
show 2 moreMcParland, Chuck
McEachern, Alex

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Keywords: Intrusion Detection
Anomaly Detection
Micro-Phasor Measurement Unit
Distribution Grid
Issue Date: 04 Jan 2017
Abstract: The impact of Phasor Measurement Units (PMUs) for providing situational awareness to transmission system operators \ has been widely documented. Micro-PMUs (uPMUs) \ are an emerging sensing technology that can provide similar \ benefits to Distribution System Operators (DSOs), enabling a \ level of visibility into the distribution grid that was previously \ unattainable. In order to support the deployment of these \ high resolution sensors, the automation of data analysis and \ prioritizing communication to the DSO becomes crucial. In this \ paper, we explore the use of uPMUs to detect anomalies on \ the distribution grid. Our methodology is motivated by growing \ concern about failures and attacks to distribution automation \ equipment. The effectiveness of our approach is demonstrated \ through both real and simulated data.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41543
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.388
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Resilent Networks Minitrack



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