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Automated Anomaly Detection in Distribution Grids Using uPMU Measurements

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Item Summary Jamei, Mahdi Scaglione, Anna Roberts, Ciaran Stewart, Emma Peisert, Sean McParland, Chuck McEachern, Alex 2016-12-29T01:14:12Z 2016-12-29T01:14:12Z 2017-01-04
dc.identifier.isbn 978-0-9981331-0-2
dc.description.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.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Intrusion Detection
dc.subject Anomaly Detection
dc.subject Micro-Phasor Measurement Unit
dc.subject Distribution Grid
dc.title Automated Anomaly Detection in Distribution Grids Using uPMU Measurements
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2017.388
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