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. https://resolver.caltech.edu/CaltechAUTHORS:20190128-124902110
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Abstract
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 | ||||||||||||
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Additional Information: | © 2018 held by the owner/author(s). | ||||||||||||
Issue or Number: | 2 | ||||||||||||
DOI: | 10.1145/3305218.3305247 | ||||||||||||
Record Number: | CaltechAUTHORS:20190128-124902110 | ||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20190128-124902110 | ||||||||||||
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. https://doi.org/10.1145/3305218.3305247 | ||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||
ID Code: | 92491 | ||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||
Deposited By: | Tony Diaz | ||||||||||||
Deposited On: | 29 Jan 2019 20:00 | ||||||||||||
Last Modified: | 16 Nov 2021 03:50 |
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