在交通网-新型配电网耦合的背景下，考虑极端灾害事件造成道路受损的影响，提出极端灾害后交通网-新型配电网多时段供电恢复策略。首先，考虑灾害造成的道路修复状态以及交通流量变化，建立动态元胞传输模型（dynamic cell transmission model，DCTM），通过出行车辆历史决策行为得到配电网抢修车辆及移动式储能车（mobile energy storage vehicles，MESVs）行程时间。其次，引入流量状态因子描述交通路网中元胞的流量传递过程，根据路径流量的分布状况确定道路路口的分流因数取值，优化抢修车辆及MESVs的行驶路径。然后，以负荷削减量及应急资源调度成本最小为目标，建立考虑道路流量变化、抢修车辆和MESVs行驶路径优化的配电网混合整数线性规划模型，提出了交通网-新型配电网多时段供电恢复策略。最后，通过算例验证了所提方法对提高新型配电网供电恢复的有效性。

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.