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Lookup NU author(s): Cassie Pickering, Professor Sean Wilkinson, Professor Richard DawsonORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Historical electrical disturbances highlight the impact of extreme weather on power system resilience. Even though the occurrence of such events is rare, the severity of their potential impact calls for (i) developing suitable resilience assessment techniques to capture their impacts and (ii) assessing relevant strategies to mitigate them. In this paper, a fragility model of the transmission system is built for mapping the real-time impact of severe weather, with focus on wind events, on components’ failure probabilities. A probabilistic multi-temporal and multi-regional resilience assessment model, based on optimal power flow and sequential Monte Carlo simulation and coupled with the component fragility model, is then introduced, allowing the assessment of the spatiotemporal impact of a weather front moving across a transmission network. Different risk-based resilience enhancement (or “adaptation”) measures are evaluated, which are driven by the resilience achievement worth (RAW) index of the individual transmission components. The methodology is demonstrated using a reduced version of the Great Britain’s system. The results demonstrate how, by using a mix of infrastructure and operational indices, it is possible to effectively quantify system resilience to extreme weather, identify and prioritize critical network sections, and assess the technical benefits of different adaptation measures to enhance resilience.
Author(s): Panteli M, Pickering C, Wilkinson S, Dawson R, Mancarella P
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Power Systems
Year: 2017
Volume: 32
Issue: 5
Pages: 3747-3757
Print publication date: 01/09/2017
Online publication date: 29/12/2016
Acceptance date: 26/06/2016
Date deposited: 31/10/2016
ISSN (print): 0885-8950
ISSN (electronic): 1558-0679
Publisher: IEEE
URL: http://dx.doi.org/10.1109/TPWRS.2016.2641463
DOI: 10.1109/TPWRS.2016.2641463
Data Access Statement: http://dx.doi.org/10.17634/102759-2
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