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Resilience-driven restoration model for interdependent infrastructure networks

机译：相互依赖的基础架构网络的弹性驱动的恢复模型

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摘要

Critical infrastructure networks such as electric power, water distribution, natural gas, transportation and telecommunications are the backbone of modern societies as they provide them with the services that are essential for their continuous functioning. However, these infrastructure networks are not isolated from each other but instead, most of them rely on one another to be functional. Hence, they are highly vulnerable to any disruptive event (e.g., components deteriorating, terrorist attacks, or natural disasters) which makes their restoration more challenging task for decision makers. In this paper, we study the restoration problem of a system of interdependent infrastructure networks following a disruption event considering different disruptions scenarios. We propose a resilience-driven multi-objective restoration model using mixed-integer programming that aims to maximize the resilience of the system of interdependent infrastructure networks while minimizing the total cost associated with the restoration process. The restoration model considers the availability of limited time and resources and provides a prioritized list of components, nodes or links, to be restored along with assigning and scheduling them to the available work crews. The proposed model is illustrated through a generated system of interdependent power-water networks, however it is applicable to any physically interdependent networks.
机译：关键的基础设施网络，例如电力，配水，天然气，运输和电信，是现代社会的骨干，因为它们为它们提供了对其持续运行必不可少的服务。但是，这些基础结构网络不是相互隔离的，而是它们中的大多数相互依赖才能发挥作用。因此，他们极易受到任何破坏性事件的影响（例如部件恶化，恐怖袭击或自然灾害），这使得恢复决策者的工作更具挑战性。在本文中，我们研究了考虑不同中断场景的中断事件后相互依赖的基础设施网络系统的恢复问题。我们提出一种使用混合整数编程的弹性驱动的多目标恢复模型，该模型旨在最大化相互依赖的基础架构网络系统的弹性，同时最小化与恢复过程相关的总成本。恢复模型考虑了有限时间和资源的可用性，并提供了要恢复的组件，节点或链接的优先列表，以及将它们分配和安排给可用的工作人员的时间表。通过生成的相互依存的水电网络系统说明了所提出的模型，但是该模型适用于任何物理相互依存的网络。

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