2022/03/09 by Patrick Maloney, Maloney, Patrick, Xiaoyuan Fan +5
Engineering · #Electric Power System Optimization #FOS: Electrical engineering #Infrastructure Resilience and Vulnerability Analysis #Power System Reliability and Maintenance #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2203.04517
openalex publication_date 2022/03/09 · openalex created_date 2022/04/03 · openalex updated_date 2026/07/28
This work proposes a methodology for estimating recovery times for transmission lines and substations, and is demonstrated on a real-world 1269-bus power system model of Puerto Rico under 20 hurricane scenarios, or stochastic realizations of asset failure under the meteorological conditions of Hurricane Maria. The method defines base recovery times for system components and identifies factors that impact these base values by means of multipliers. While the method is tested on transmission lines and substation failures due to hurricanes, it is based on a generic process that could be applied to any system component or event as a general recovery time estimation framework. The results show that given the two failure modes under study (transmission towers and substations), transmission towers appear to have a greater impact on recovery time estimates despite substations being given longer base outage times. Additionally, average recovery times for the simulated hurricanes across 20 scenarios is ~28,000 work crew days.