Resilience Assessment and Importance Measure for Interdependent Critical Infrastructures

Xing Liu, Yiping Fang, E. Ferrario, E. Zio
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引用次数: 9

Abstract

Based upon a novel control-based dynamic modeling framework, this paper proposes two new indicators, i.e., resilience by mitigation and resilience by recovery, for the resilience analysis of interdependent critical infrastructures (ICIs) under disruptions. The former is built from the protection activities before and during the mitigation phase of a disruptive event, and the latter is the result of the restoration efforts, which take place at the recovery phase. The total resilience of ICIs combines both of these two aspects by taking into account the preferences of the decision makers. We demonstrate the applicability of the proposed modeling framework and metrics in a case study involving ICIs made of a power grid and a gas distribution system. Owing to the new resilience indicators, the priorities of subsystems and links within ICIs at different phases can be ranked; therefore, different resilience strategies at different phases of disruptive events are compared. The results show that proposed metrics can be used by stakeholders of ICIs on improving the effectiveness of system protection measurements.
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相互依赖的关键基础设施弹性评估与重要性测度
基于一种新的基于控制的动态建模框架,本文提出了两个新的指标,即缓解复原力和恢复复原力,用于相互依赖的关键基础设施(ICIs)在中断下的复原力分析。前者建立在破坏性事件缓解阶段之前和期间的保护活动之上,后者是在恢复阶段进行的恢复工作的结果。综合投资机构的总弹性通过考虑决策者的偏好将这两个方面结合起来。我们在一个案例研究中展示了所提出的建模框架和度量的适用性,该案例研究涉及由电网和燃气分配系统组成的集成电路。利用新的弹性指标,可以对不同阶段的子系统和各环节的优先级进行排序;因此,本文比较了破坏性事件不同阶段的弹性策略。结果表明,所提出的度量可以被集成电路利益相关者用于提高系统保护度量的有效性。
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来源期刊
CiteScore
5.20
自引率
13.60%
发文量
34
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