In the context of the coupling between the transportation network and the new distribution network, considering the impact of extreme disaster events on road damage, a multi period power restoration strategy for the transportation network and the new distribution network after extreme disasters is proposed. Firstly, considering the road repair status and traffic flow changes caused by disasters, a dynamic cell transmission model (DCTM) is established to obtain the travel time of distribution network repair vehicles and mobile energy storage vehicles (MESVs) through the historical decision-making behavior of travel vehicles. Secondly, the flow state factor is introduced to describe the flow transmission process of cells in the transportation network, the diversion factor value of road intersections is determined based on the distribution of path flow, and the driving path of repair vehicles and MESVs is optimized. Then, with the goal of minimizing load reduction and emergency resource scheduling costs, a mixed integer linear programming model for the distribution network considering changes in road flow, optimization of the driving paths of repair vehicles and MESVs is established, and a multi-period power supply recovery strategy for the transportation network new distribution network is proposed. Finally, the effectiveness of the proposed method in improving the restoration of power supply in the new distribution network is verified through numerical examples.