@inproceedings{4d56372f438e44859160a3a5df515507,
title = "Automated anomaly detection in distribution grids using µPMU measurements",
abstract = "The impact of Phasor Measurement Units (PMUs) for providing situational awareness to transmission system operators has been widely documented. Micro-PMUs (µPMUs) 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 µPMUs 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.",
keywords = "Anomaly detection, Distribution grid, Intrusion detection, Micro-Phasor measurement unit",
author = "Mahdi Jamei and Anna Scaglione and Ciaran Roberts and Emma Stewart and Sean Peisert and Chuck McParland and Alex McEachern",
note = "Publisher Copyright: {\textcopyright} 2017 Proceedings of the Annual Hawaii International Conference on System Sciences. All rights reserved.; 50th Annual Hawaii International Conference on System Sciences, HICSS 2017 ; Conference date: 03-01-2017 Through 07-01-2017",
year = "2017",
month = jan,
day = "7",
language = "English",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "IEEE Computer Society",
pages = "3184--3193",
editor = "Bui, \{Tung X.\} and Ralph Sprague",
booktitle = "Proceedings of the 50th Annual Hawaii International Conference on System Sciences, HICSS 2017",
}