【目的】为有效提升台风灾害下配电网的韧性，减少自然灾害造成的负荷中断与供电损失，提出一种台风灾害下计及负荷恢复优先级与动态修复的配电网韧性优化策略与评估方法。【方法】结合Batts台风模型与线路故障模型构建台风灾害故障场景，刻画台风强度与路径对配电网的影响。在此基础上，以重要负荷优先恢复供电为核心目标，耦合动态重构、故障修复与分布式资源（distributed energy resources， DERs）动态出力特性，建立多源协同优化模型，实现灾中快速响应与资源高效调度。提出考虑负荷权重的负荷平均恢复水平韧性评估指标，用于定量评估不同场景下的系统韧性水平。【结果】基于改进的IEEE 33节点配电系统算例分析表明，所提策略能够在台风灾害场景下有效降低整体系统负荷损失，显著提升关键节点与重要用户的供电恢复水平。仿真结果同时验证了所提评估指标在区分不同策略优劣中的适用性与有效性。【结论】所提策略实现了配电网从灾害冲击到恢复过程的动态优化，相较于传统方法，在负荷恢复速度、供电可靠性及资源利用效率方面均具有明显优势；所提韧性评估指标能够更科学地刻画系统在灾害条件下的韧性水平，弥补了传统指标的不足，为未来电力系统在台风灾害下的故障恢复与韧性评估提供了重要参考。

[Objective] To enhance the resilience of distribution networks under typhoon disasters and mitigate the risks of load interruptions and power supply losses caused by natural disasters， this paper proposes a resilience-oriented optimization strategy and evaluation method that accounts for load restoration priority and dynamic repair. [Methods] Typhoon-induced fault scenarios are constructed by integrating the Batts typhoon model with a line fault model， thereby capturing the impacts of typhoon intensity and trajectory on distribution networks. On this basis， a multi-source collaborative optimization model is developed with the core objective of prioritizing the restoration of critical loads. The model couples dynamic reconfiguration， fault repair， and the dynamic output characteristics of distributed energy resources （DERs） to enable rapid response and efficient resource dispatch during disasters. A set of resilience evaluation metrics of load average recovery level considering load weights is proposed to quantitatively evaluate system resilience under different scenarios. [Results] Case studies on a modified IEEE 33-bus distribution system demonstrate that the proposed strategy effectively reduces overall system load losses and significantly improves the restoration level of critical buses and essential users under typhoon scenarios. The simulation results also validate the applicability and effectiveness of the proposed evaluation metrics in distinguishing the merits and demerits of different recovery strategies. [Conclusions] The proposed strategy achieves dynamic optimization of distribution networks throughout the disaster impact and recovery process. Compared with conventional approaches， it exhibits distinct advantages in terms of load restoration speed， supply reliability， and resource utilization efficiency. In addition， the proposed resilience evaluation metrics provide a more scientific characterization of system resilience under disaster conditions， compensating for the limitations of conventional metrics. Overall， this paper offers valuable insights and references for fault recovery and resilience evaluation of future power systems under typhoon disasters.