Abstract: To address the difficulty in accurately characterizing emergency resource travel times caused by dynamically evolving traffic conditions under extreme disasters, which may adversely affect post-disaster distribution network restoration decisions, a coordinated optimization method for emergency resource dispatch and repair considering dynamic traffic is proposed. A cell transmission model is employed to characterize the spatiotemporal evolution of post-disaster traffic flow, while a traffic delay model is used to estimate time-varying travel times. The resulting travel-time information is further embedded into the coordinated scheduling model of mobile emergency power supplies and repair crews, thereby enabling joint optimization of traffic accessibility and the distribution network restoration process. Case studies demonstrate that the proposed method can effectively coordinate mobile emergency power supply and line repair while prioritizing the restoration of critical loads. Compared with the nearby repair plan, the time required to achieve 90% of the cumulative weighted recovery contribution decreases from 190.46 minutes to 109.29 minutes. During the recovery period, the node voltage can remain between 0.96 and 1.03 p.u., effectively improving the post-disaster recovery efficiency and the executability of the dispatch plan.

Key words: distribution network, dynamic traffic, repair scheduling, coordinated optimization, post-disaster restoration