Resilience-oriented emergency resource dispatch for power–transportation coupled networks under rainstorm-induced flood hazards

The increasing frequency and severity of extreme weather events pose growing threats to the resilience of power-transportation coupled networks (PTCNs), particularly under rainstorm-induced flood events. However, most existing resilience studies only focus on independent power or transportation systems, overlooking the cascading impacts of flood-induced disruptions on the PTCN. To bridge this gap, this study proposes a resilience-oriented emergency resources dispatch framework for PTCNs under rainstorm-induced flood hazards. First, a flood-responsive traffic model is developed by coupling the Direction 8 hydrological routing method with the Bureau of Public Roads traffic flow model, enabling quantitative assessment of flood-induced road congestion and its impact on cascading failures within PTCNs. Second, a novel tail-aware and diversity-enhanced dynamic time warping K-Means clustering method is introduced for scenario reduction, which preserves rare, high-impact events and strengthens the robustness of risk-aware optimization. Third, a resilience-oriented two-stage dynamic dispatch optimization framework is established, in which risk-aware resource pre-deployment is coordinated with adaptive post-disaster routing for mobile energy storage systems and pumping trucks. Case studies on two test systems demonstrate that the proposed framework significantly enhances resilience indices by 2.9 %–24.2 %, and enables efficient emergency resource dispatch under urban flooding.