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Operational interdependency between electrical substations and road networks under extreme events

机译:极端事件下变电站与道路网络之间的操作相互依赖

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The critical infrastructure (CI) elements in the United States are highly interconnected and interdependent. Recent cases of extreme events–either nature or human-caused– have demonstrated ripple effects propagating from one critical infrastructure to another reflecting the interdependencies. Among many CIs, the electric power and transportation infrastructure systems exhibit a higher level of interdependencies, and it is vital to model electric power and transportation infrastructure system holistically to understand the vulnerable states from temporal and spatial dimensions considering interconnectedness and cascading effects. This study developed a graph-theory based analysis framework to model the interdependencies between the electric power and transportation infrastructure systems– road networks. The CI elements are integrated by building a heterogeneous graph that includes transportation road sections, electrical substations, utility headquarters, traffic signal nodes, and other relevant CI nodes. We report the results from a case study in Seattle, Washington considering different scenarios– network disruption types, traffic congestion level, and uncertainty in restoration time.
机译:美国的关键基础架构(CI)元素高度互连且相互依赖。最近发生的极端事件(无论是自然事件还是人为因素)都显示出连锁反应从一种关键基础设施传播到另一种基础设施,反映出相互依存关系。在许多配置项中,电力和运输基础设施系统表现出更高的相互依赖性,因此,对电力和运输基础设施系统进行整体建模以考虑互连性和级联效应,从时间和空间维度上了解脆弱状态至关重要。这项研究开发了一种基于图论的分析框架,以对电力和运输基础设施系统(道路网络)之间的相互依赖性进行建模。通过构建包含交通路段,变电站,公用事业总部,交通信号节点和其他相关CI节点的异构图形,可以集成CI元素。我们报告了在华盛顿西雅图的案例研究中得出的结果,其中考虑了不同的情况-网络中断类型,流量拥塞程度以及恢复时间的不确定性。

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