【目的】近年来，小概率、高损失的极端自然灾害频发，高比例新能源接入下的综合能源系统调度策略存在自适应优化能力不足，难以面对非预期不确定冲击的问题。为此，提出了台风灾害下综合能源系统薄弱环节识别方法与灾前韧性调度策略。【方法】首先，基于广义相量法构建了综合能源系统动态模型，刻画异质能流动态特性；其次，构建台风场景下线路故障-恢复概率模型，生成综合能源系统受灾运行场景；最后，从系统性能损失与潮流转移风险角度提出系统薄弱环节辨识方法，构建兼顾灵活性提升与潮流优化的灾前韧性调度策略。【结果】算例结果表明：在优化后的韧性调度方案中，等效储能容量提升31.68%，电网关键支路潮流负载率平均降低56.58%，系统整体失负荷量减少26.27%。【结论】所提方法实现了对兼具风险性与重要性的极端场景薄弱环节的辨识，显著提升了综合能源系统抗灾保供能力。

[Objective] Low-probability，high-impact natural disasters have become increasingly frequent. Integrated energy systems with high renewable penetration often lack the self-adaptive optimization capability needed to manage unexpected disturbances. This paper proposes a vulnerability identification framework and a pre-disaster resilience-oriented dispatch strategy for integrated energy system under typhoon disasters. [Methods] A dynamic integrated energy systems model is constructed using a generalized phasor approach to represent heterogeneous energy flows. A line fault-restoration probability model under typhoon scenarios is developed to generate disaster-operational states. A vulnerability identification method is then introduced from the perspectives of system performance loss and power-flow transfer risk. Finally，a pre-disaster resilience scheduling strategy is formulated by integrating flexibility enhancement with power-flow optimization. [Conclusions] Simulation results show that the optimized resilience-oriented dispatch strategy increases equivalent energy-storage capacity by 31.68%，reduces the average loading of key transmission branches by 56.58%，and decreases total load loss by 26.27%. [Conclusions] The proposed framework effectively identifies high-risk，critical vulnerabilities under extreme scenarios and substantially enhances the disaster resilience and supply security of integrated energy systems.