Technical Papers
Mar 22, 2022

A Fragility-Weighted Topological Network for Resilient Assessment of Overhead Power Distribution System Subjected to Hurricane Winds

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8, Issue 2

Abstract

Extreme weather events with an increased frequency have caused widespread damages to overhead power distribution systems (OPDS), an essential lifeline infrastructure, resulting in enormous societal and economic losses for communities. Cascading failure is a critical issue within OPDSs and starts with the failure of a system component, such as a pole, leading to large power outages. Therefore, the resilient assessment of OPDSs under extreme weather events could help evaluate system vulnerability and the performance of recovery strategies. Traditionally, the assessment is performed using an unweighted network based on topology, but this lacks the inclusion of OPDS structural properties. Therefore, a resilient assessment framework for OPDS subject to hurricane winds is proposed in this study with the integration of structural properties to consider the impact of system safety. Instead of the traditional unweighted network, a fragility-weighted topological network is formed to evaluate the performance of an OPDS against cascading failure. The system is found to be more vulnerable under an intentional failure scenario based on a comparison of performance under different attack scenarios. In addition, the impact of electricity load redistribution within the system can be obtained by performing dynamic analysis. Finally, different restoration strategies are included in the framework for comparison. Postdisruption restoration plans can be optimized in terms of recovery speed to benefit utility managers and decision makers from the improved resilience.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8Issue 2June 2022

History

Received: Aug 26, 2021
Accepted: Jan 22, 2022
Published online: Mar 22, 2022
Published in print: Jun 1, 2022
Discussion open until: Aug 22, 2022

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Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269. ORCID: https://orcid.org/0000-0002-5435-7350
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269 (corresponding author). ORCID: https://orcid.org/0000-0001-8364-9953. Email: [email protected]; [email protected]
Qin Lu, S.M.ASCE
Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269.
Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269. ORCID: https://orcid.org/0000-0003-1005-5841. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269. ORCID: https://orcid.org/0000-0002-4707-4336. Email: [email protected]

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  • A Probabilistic Method for Integrating Physics-Based and Data-Driven Storm Outage Prediction Models for Power Systems, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 10.1061/AJRUA6.RUENG-1171, 10, 2, (2024).

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