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Failure Localization in Power Systems via Tree Partitions

Guo, Linqi and Liang, Chen and Zocca, Alessandro and Low, Steven H. and Wierman, Adam (2018) Failure Localization in Power Systems via Tree Partitions. ACM SIGMETRICS Performance Evaluation Review, 46 (2). pp. 79-80. ISSN 0163-5999. doi:10.1145/3305218.3305247.

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Cascading failures in power systems propagate non-locally, making the control and mitigation of outages extremely hard. In this work, we use the emerging concept of the tree partition of transmission networks to provide an analytical characterization of line failure localizability in transmission systems. Our results rigorously formalize the well-known intuition that failures cannot cross bridges, and reveal a finer-grained concept that encodes more precise information on failure propagation within tree-partition regions. Specifically, when a non-bridge line is tripped, the impact of this failure only propagates within components of the tree partition defined by the bridges. In contrast, when a bridge line is tripped, the impact of this failure propagates globally across the network, affecting the power flow on all remaining lines. This characterization suggests that it is possible to improve the system robustness by temporarily switching off certain transmission lines, so as to create more, smaller components in the tree partition; thus spatially localizing line failures and making the grid less vulnerable to large outages.

Item Type:Article
Related URLs:
URLURL TypeDescription ItemConference Paper Paper
Zocca, Alessandro0000-0001-6585-4785
Low, Steven H.0000-0001-6476-3048
Additional Information:© 2018 held by the owner/author(s).
Issue or Number:2
Record Number:CaltechAUTHORS:20190128-124902110
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Official Citation:Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, and Adam Wierman. 2018. Failure Localization in Power Systems via Tree Partitions: Extended Abstract. In Proceedings of ACM Sigmetrics conference (SIGMETRICS’ 18). ACM, New York, NY, USA, 3 pages.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:92491
Deposited By: Tony Diaz
Deposited On:29 Jan 2019 20:00
Last Modified:16 Nov 2021 03:50

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