Multilayer hybrid modeling framework for the performance assessment of interdependent critical infrastructures

Nan, Cen; Sansavini, Giovanni

doi:10.1016/j.ijcip.2015.04.003

Cited by 13 publications

(10 citation statements)

References 35 publications

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“…Nan and Sansavini [13] presents a powerful multilayer hybrid modeling for performance assessment of critical infrastructures, only from the perspective of a single system, Swiss power system in this case, and models the interdependencies among its three critical subsystems layers; power grid, supervisory control and data acquisition (SCADA) and human operators. The article studied the power system as a combination of integrated subsystems, structured in interdependent layers; (1) systems under control; (2) operational control system; and (3) human-organizational social system [13]. The literature search discovered that various researchers have used modeling approaches based on graph models or graph theory (network analysis).…”

Section: Methods For Modeling Cis Interdependenciesmentioning

confidence: 99%

“…Resilience, in the context of CIS, is the ability of the system to prepare for and adapt to changing conditions and withstand and recover rapidly from disruptions such as deliberate attacks, accidents, or naturally occurring threats or incidents [26,27]. The resilience curve in Figure 3 adapted from References [13,28] illustrates the resilience of a typical critical infrastructure system that goes through a disruptive event such as a natural disaster event. The circled part of the resiliency curve indicates the part of infrastructure systems' resiliency that depends on the recoverability aspect of the CIS.…”

Section: Measure Of Cis Resiliencymentioning

confidence: 99%

“…CIS resilience curves, in terms of systems performance or functionality (adapted from References[13,28]). …”

mentioning

confidence: 99%

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Post-Disaster Recovery Associations of Power Systems Dependent Critical Infrastructures

Sarker

Lester

2019

Infrastructures

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The complete failure of the power systems infrastructure in Puerto Rico, following Hurricanes Irma and Maria in 2017, severely hampered the recovery efforts of multiple critical infrastructure systems (CIS). Understanding the relationships of infrastructure recovery efforts between power infrastructure systems and the other CIS has the potential to be a key in developing an effective recovery plan leading to resilient infrastructure systems, and thereby a more resilient community. This paper explores the critical interfaces and interdependencies in CIS recovery by examining the disruptions and recovery progress of the CIS, including the power infrastructure systems, in Puerto immediately following the events of Hurricane Maria. This research uncovers that strong CIS recovery interdependency relationships exist between the power infrastructure systems and other CIS in Puerto Rico, and these relationships contribute to the resilience of these CIS. The resultant CIS recovery associations may potentially predict the recovery progress of post-disaster CIS recovery centered on the power infrastructure systems and lay the groundwork for further interdependency analysis of CIS in post-disaster scenarios. The results may also be helpful while designing CIS for resiliency in natural disaster areas.

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Section: Methods For Modeling Cis Interdependenciesmentioning

confidence: 99%

Section: Measure Of Cis Resiliencymentioning

confidence: 99%

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Post-Disaster Recovery Associations of Power Systems Dependent Critical Infrastructures

Sarker

Lester

2019

Infrastructures

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“…Each CIS component will be modeled with an open hybrid automaton and any dependencies between components will be represented with the connections between the inputs and outputs of the models. Similarly to [40], two kinds of dependencies are considered, internal and external (as depicted in Fig. 2) Remark 1.…”

Section: Hybrid Systemsmentioning

confidence: 99%

Hybrid systems modeling for critical infrastructures interdependency analysis

Heracleous

Kolios

Panayiotou

et al. 2017

Reliability Engineering & System Safety

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Critical infrastructure systems (CISs) are large scale and complex systems, across which many interdependencies exist. As a result, several modeling and simulation approaches are being employed to study the concurrent operation of multiple CISs and their interdependencies. Complementary to existing literature, this work develops and implements a modeling and simulation framework based on open hybrid automata to analyze CISs interdependencies. With the proposed approach, it is possible to develop accurate models of infrastructure components, and interlink them together based on their dependencies; in effect creating larger and more complex models that incorporate interdependencies. By implementing specific setups using varying operating conditions, one can study the cascading effects of interdependencies, perform a detailed vulnerability assessment and conduct an extensive planning exercise. To demonstrate the applicability of the proposed framework, a setup with three different types of CISs (i.e., power, telecom and water) components is investigated. Extensive simulation results are used to provide insights on the cascading effects, vulnerabilities and maintenance planning strategies.

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“…However, the aforementioned past events have not only revealed the vulnerabilities of individual infrastructure systems, but also showed the importance of dependencies and interdependencies among infrastructure sectors (Chang, 2014; Vespignani, 2010). During normal operations, these interdependencies generally have a positive effect allowing urban systems to operate closer to their design capacity, for example optimizing their efficiency in the exchange of information and resources among different networks (Applied Technology Council, 2016; Nan & Sansavini, 2015; Ouyang et al, 2015). When infrastructure systems are damaged, however, they often propagate failures to other systems and result in widespread disruption.…”

Section: Introductionmentioning

confidence: 99%

Modeling the resilience of critical infrastructure: the role of network dependencies

Guidotti

Chmielewski

Unnikrishnan

et al. 2016

Sustainable and Resilient Infrastructure

193

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Water and wastewater network, electric power network, transportation network, communication network, and information technology network are among the critical infrastructure in our communities; their disruption during and after hazard events greatly affects communities’ well-being, economic security, social welfare, and public health. In addition, a disruption in one network may cause disruption to other networks and lead to their reduced functionality. This paper presents a unified theoretical methodology for the modeling of dependent/interdependent infrastructure networks and incorporates it in a six-step probabilistic procedure to assess their resilience. Both the methodology and the procedure are general, can be applied to any infrastructure network and hazard, and can model different types of dependencies between networks. As an illustration, the paper models the direct effects of seismic events on the functionality of a potable water distribution network and the cascading effects of the damage of the electric power network (EPN) on the potable water distribution network (WN). The results quantify the loss of functionality and delay in the recovery process due to dependency of the WN on the EPN. The results show the importance of capturing the dependency between networks in modeling the resilience of critical infrastructure.

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Multilayer hybrid modeling framework for the performance assessment of interdependent critical infrastructures

Cited by 13 publications

References 35 publications

Post-Disaster Recovery Associations of Power Systems Dependent Critical Infrastructures

Post-Disaster Recovery Associations of Power Systems Dependent Critical Infrastructures

Hybrid systems modeling for critical infrastructures interdependency analysis

Modeling the resilience of critical infrastructure: the role of network dependencies

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