Evaluation of the robustness of critical infrastructures by Hierarchical Graph representation, clustering and Monte Carlo simulation
Evaluation of the robustness of critical infrastructures by Hierarchical Graph representation, clustering and Monte Carlo simulation
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DOI：
10.1016/j.ress.2016.06.007
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发表时间：
2016-11-01
影响因子：
8.1
通讯作者：
Zio, E.
中科院分区：
文献类型：
--
作者：
Ferrario, E.;Pedroni, N.;Zio, E.
在本文中，我们提出了一种方法的工作，采用系统的系统（SoS）的观点，相互依赖的关键基础设施（CIS）的鲁棒性的评估。我们提出了一个层次图表示，在考虑不同的优先级的产品流被分派到需求节点。我们使用一个多状态模型来描述不同程度的退化的各个组件，在不同的退化状态之间的过渡随机发生。通过Monte Carlo模拟对置信区间的稳健性进行了定量评价。所提出的方法是通过两个案例研究：第一个涉及小型天然气和电力网络和监控和数据采集（SCADA）系统;第二个考虑一个中等规模的配电网络，从IEEE 123节点测试馈线。第二个案例研究的规模很大，需要分层聚类进行稳健性分析。(C)2016爱思唯尔有限公司版权所有
In this paper, we present a methodological work that adopts a system-of-systems (SoS) viewpoint for the evaluation of the robustness of interdependent critical infrastructures (Cis). We propose a Hierarchical Graph representation, where the product flow is dispatched to the demand nodes in consideration of different priorities. We use a multi-state model to describe different degrees of degradation of the individual components, where the transitions between the different states of degradation occur stochastically. The quantitative evaluation of the CIs robustness is performed by Monte Carlo simulation. The methodological approach proposed is illustrated by way of two case studies: the first one concerns small sized gas and electricity networks and a supervisory control and data acquisition (SCADA) system; the second one considers a moderately large power distribution network, adapted from the IEEE 123 node test feeders. The large size of the second case study requires hierarchical clustering for performing the robustness analysis. (C) 2016 Elsevier Ltd. All rights reserved.