Events characterized by their rarity but with a significant impact, like earthquakes, floods, and windstorms, are high-impact low probability (HILP) events. These events cause severe damage to power distribution networks (PDNs), leading to widespread and extended power outages. Hence, numerous operational measures are employed to restore the PDN after a HILP event. This paper uses dynamic network reconfiguration and distribution generation unit scheduling to restore the PDN after HILP events. An optimization problem is introduced to address the restoration of the PDN. The goal is to maximize the restoration of load demand based on the priority of the load. The optimization problem is formulated as a mixed-integer linear programming (MILP) model. Furthermore, the effectiveness of the provided framework is assessed by analysing it on the 33-bus test network for validation purposes.