Automated Anomaly Detection in Distribution Grids Using uPMU Measurements
| dc.contributor.author | Jamei, Mahdi | |
| dc.contributor.author | Scaglione, Anna | |
| dc.contributor.author | Roberts, Ciaran | |
| dc.contributor.author | Stewart, Emma | |
| dc.contributor.author | Peisert, Sean | |
| dc.contributor.author | McParland, Chuck | |
| dc.contributor.author | McEachern, Alex | |
| dc.date.accessioned | 2016-12-29T01:14:12Z | |
| dc.date.available | 2016-12-29T01:14:12Z | |
| dc.date.issued | 2017-01-04 | |
| 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.identifier.doi | https://doi.org/10.24251/HICSS.2017.388 | |
| dc.identifier.isbn | 978-0-9981331-0-2 | |
| dc.identifier.uri | http://hdl.handle.net/10125/41543 | |
| 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.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| 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 |
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