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Event detection and localization in distribution grids with phasor measurement units

Ardakanian, Omid and Yuan, Ye and Dobbe, Roel and von Meier, Alexandra and Low, Steven and Tomlin, Claire (2017) Event detection and localization in distribution grids with phasor measurement units. In: 2017 IEEE Power & Energy Society General Meeting. IEEE , Piscataway, NJ, pp. 1-5. ISBN 978-1-5386-2213-1.

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The recent introduction of synchrophasor technology into power distribution systems has given impetus to various monitoring, diagnostic, and control applications, such as system identification and event detection, which are crucial for restoring service, preventing outages, and managing equipment health. Drawing on the existing framework for inferring topology and admittances of a power network from voltage and current phasor measurements, this paper proposes an online algorithm for event detection and localization in unbalanced three-phase distribution systems. Using a convex relaxation and a matrix partitioning technique, the proposed algorithm is capable of identifying topology changes and attributing them to specific categories of events. The performance of this algorithm is evaluated on a standard test distribution feeder with synthesized loads, and it is shown that a tripped line can be detected and localized in an accurate and timely fashion, highlighting its potential for real-world applications.

Item Type:Book Section
Related URLs:
URLURL TypeDescription Paper
Ardakanian, Omid0000-0002-6711-5502
Yuan, Ye0000-0001-7858-0437
Dobbe, Roel0000-0003-4633-7023
von Meier, Alexandra0000-0003-4675-752X
Low, Steven0000-0001-6476-3048
Additional Information:© 2017 IEEE.
Subject Keywords:Event Detection, Localization, System Identification, Phasor Measurement Units, 3-Phase Unbalanced Networks.
Record Number:CaltechAUTHORS:20180208-150455146
Persistent URL:
Official Citation:O. Ardakanian, Y. Yuan, R. Dobbe, A. von Meier, S. Low and C. Tomlin, "Event detection and localization in distribution grids with phasor measurement units," 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, USA, 2017, pp. 1-5. doi: 10.1109/PESGM.2017.8273895
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:84743
Deposited By: Ruth Sustaita
Deposited On:09 Feb 2018 00:22
Last Modified:15 Nov 2021 20:22

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