  In order to increase the resilience of distribution systems against
high-impact low-probability (HILP) events, it is important to prioritize the
damaged assets so that the lost loads, especially critical and important loads,
can be restored faster. In addition, correctly predicting the number of repair
teams during critical times contributes to restoring the network to the initial
resilience level. For this reason, this paper discusses the prioritization of
electricity supply lines for evaluating the number of required repair teams. To
this end, the economic value of distribution system lines has been considered
as a criterion representing the sensitivity of the network to hurricanes. The
modeling is based on value, in which the load value, failure probability of the
poles, fragility curve, duration of line repair by the maintenance team, and
the topology factor have been considered. This is so that the significance of
the demand side, the failure extent and accessibility of the lines, the
importance of time, and the network configuration are considered. The results
provide a list of line priority for fault resolution, in which the topology
factor has a larger effect. The number of repair teams required to restore
critical and important loads is determined from this model. This modeling has
been tested on an IEEE 33-bus network. Keywords: Resilience, distribution
systems, asset evaluation, restoration prioritization, repair team
