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Resilience Enhancement for Multi-State Interdependent Infrastructure Networks

机译:多状态相互依存基础设施网络的恢复能力增强

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Reducing vulnerability and enhancing resilience of infrastructure networks subject to uncertain disruptions is a challenge as these networks become intensively interconnected and interdependent. This paper devotes to addressing the problem of preparedness planning of interdependent infrastructure networks. The multi-state natures of network components are taken into account to characterize the interactions between infrastructure networks. A novel two-stage stochastic programming model which is able to cope with the uncertainty associated with disruptions is proposed to effectively enhance resilience under limited budget. The proposed model is applied to an illustrative network composed of interdependent power-water distribution networks, and the results show that (i) the overall resilience of interdependent power-water distribution networks is greatly enhanced under different types disruptive events. (ii) the proposed two-stage stochastic programming model is a general model framework that is applicable to a diversity of multi-state interdependent infrastructure networks.
机译:减少易受伤害和增强基础设施网络的恢复性,受不确定中断的影响是挑战,因为这些网络变得密集地互连和相互依存。本文致力于解决相互依存基础设施网络的准备规划问题。考虑到网络组件的多状态自适应,以表征基础设施网络之间的交互。提出了一种能够应对与中断相关的不确定性的新型两阶段随机编程模型,以有效地提高预算下的弹性。所提出的模型应用于由相互依存的电力分配网络组成的说明性网络,结果表明(i)在不同类型的破坏事件下大大增强了相互依存的电力分配网络的整体弹性。 (ii)提出的两阶段随机编程模型是一般模型框架,适用于多国相互依存基础设施网络的多样性。

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