@inproceedings{7aad4a5f850d4fac945a242771eadb1a,
title = "Online Thevenin parameter tracking using synchrophasor data",
abstract = "There is significant interest in smart grid analytics based on phasor measurement data. One application is estimation of the Thevenin equivalent model of the grid from local measurements. In this paper, we propose methods using phasor measurement data to track Thevenin parameters at substations delivering power to both an unbalanced and balanced feeder. We show that for an unbalanced grid, it is possible to estimate the Thevenin parameters at each instant of time using only instantaneous phasor measurements. For balanced grids, we propose a method that is well-suited for online applications when the data is highly temporally-correlated over a short window of time. The effectiveness of the two methods is tested via simulation for two use-cases, one for monitoring voltage stability and the other for identifying cyber attackers performing 'reconnaissance' in a distribution substation.",
keywords = "Anomaly Detection, Cybersecurity, Phasor Measurement Unit (PMU), Thevenin Parameters",
author = "Mahdi Jamei and Anna Scaglione and Ciaran Roberts and Alex McEachern and Emma Stewart and Sean Peisert and Chuck McParland",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 ; Conference date: 16-07-2017 Through 20-07-2017",
year = "2018",
month = jan,
day = "29",
doi = "10.1109/PESGM.2017.8273818",
language = "English (US)",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
pages = "1--5",
booktitle = "2017 IEEE Power and Energy Society General Meeting, PESGM 2017",
}