Vulnerability Identification and Resilience Scheduling Strategy for Integrated Energy Systems Under Typhoon Disasters

[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.