  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.
