Significant damages caused by extreme weather conditions such as flood, storm, hurricanes, blizzards etc., contribute multiple and widely-spread damages to electric power transmission and distribution systems resulting in large-scale power failures. In such cases, the electric utilities send repair crew to affected locations as soon as possible to repair the transmission and distribution systems. Damage assessment process is one of the steps in system restoration process, which assesses overall damage and gives out an approximate restoration time for the damaged location. Until now, a team of technicians manually did damage assessment process by inspecting every affected location. In this thesis, a systematic method of the damage assessment procedure is proposed in an effort to reduce the restoration time in conjunction with drone technology. In the past, damage assessors have inspected locations under various hazardous events circumstances like heavy rain and wind, and sometimes paths to damaged areas are inaccessible due to disruption caused by the HILF events. Drone technology offers good potential to make the restoration process more efficient and safe. This thesis, proposes a drone routing algorithm that provides a drone path covering the entire part of damaged area of a circuit. It is also proposed how to integrate the algorithm into the overall restoration process. Detailed procedure is illustrated on a real distribution network as a case study.