【目的】极端灾害会导致配电网出现多种物理故障，同时交通网出现道路损坏等问题。交通道路的损坏会阻碍抢修车辆的行进，故而影响配电网故障恢复效率。为提升配电网在极端灾害条件下的故障恢复效率，提出考虑损坏道路修复进度的配电网多故障抢修优化策略。【方法】首先，构建交通网-配电网耦合模型，以及灾害对交通网的影响模型，并基于三种用户在时空上的负荷需求构建负荷时变模型。然后，协同道路修复构建配电网抢修策略优化模型，旨在将配电网的失电量降至最低并尽可能缩短抢修时间。为求解多目标优化模型，采用参数自适应非支配排序遗传算法（non-dominated sorting genetic algorithm-II，NSGA-II），并结合拐点策略来求解。最后，以某区域配电线路和含17节点的交通网系统为对象进行仿真实验。【结果】仿真结果表明，所提策略能够根据耦合网修复进度实时优化抢修资源调度，避免了抢修延误，实现了交通网修复与配电网抢修的协同优化，有效缩短了配电网抢修时间，减少了配电网失电负荷。【结论】所提策略有效融合交通道路抢修与配电网故障修复，提升了配电网抢修效率，为极端灾害下的配电网抢修提供帮助。

[Objective] Extreme disasters can cause multiple physical failures in distribution networks as well as damage to road infrastructure. Road disruptions impede the mobility of repair crews，thereby affecting the efficiency of distribution network restoration. To improve the fault recovery efficiency of distribution networks post extreme disasters，this paper proposes an optimization strategy that couples road repair progress into multi-fault restoration planning for distribution networks. [Methods] A coupled model of the transportation network and distribution network is established，together with a disaster-impact model for the transportation network. A time-varying load model is then developed based on the spatiotemporal demand characteristics of three user categories. Building on these models，a coordinated restoration optimization framework is formulated that jointly schedules distribution-network repairs and road-repair activities，with the dual objectives of minimizing power loss and shortening overall restoration time. To solve this multi-objective optimization model，a parameter-adaptive Non-dominated Sorting Genetic Algorithm II （NSGA-II） algorithm enhanced by an inflection point strategy is employed. Simulation studies are conducted on a regional distribution line and a transportation network system with 17 nodes. [Conclusions] The results show that the proposed strategy dynamically allocates emergency repair resources based on the evolving restoration status of the coupled network，prevents repair delays，enables coordinated optimization of transportation-network recovery and distribution network restoration. The method effectively reduces the distribution-network repair time and outage load. [Conclusions] The proposed strategy effectively integrates road emergency repairs in the transportation network with fault restoration in the distribution network，enhances system resilience against extreme disasters，and offers valuable reference for distribution network emergency repair.