Automated Anomaly Detection in Distribution Grids Using uPMU Measurements

Date
2017-01-04
Authors
Jamei, Mahdi
Scaglione, Anna
Roberts, Ciaran
Stewart, Emma
Peisert, Sean
McParland, Chuck
McEachern, Alex
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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.
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Intrusion Detection, Anomaly Detection, Micro-Phasor Measurement Unit, Distribution Grid
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10 pages
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Proceedings of the 50th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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