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

Dynamic Evaluation of Power Distribution Lines for Determining the  Number of Repair Teams and Prioritizing the Resolution of Faults Caused by  High-Impact Low-Probability Events