A quantitative method for assessing resilience of interdependent infrastructures. (January 2017)

• Record Type: Journal Article
• Authors: Nan, Cen; Sansavini, Giovanni
• Is Part Of: Reliability engineering & system safety. Volume 157(2017)
• Page Start: 35
• Page End: 53
• Publication Date: 2017-01
• Subjects: ABM agent based modeling -- ASSAI average substation service availability index -- CI critical infrastructure -- CNT complex network theory -- CPC common performance condition -- CREAM cognitive reliability error analysis method -- CU communication unit -- CV coefficient variation -- ENS energy not served -- EPSS electric power supply system -- FCD field level control device -- FID field level instrumentation device -- FIS fuzzy inference system -- GR general resilience -- HEP human error probability -- HLA high level architecture -- HOL human operator level -- HRA human reliability analysis -- ICT information and communication technology -- IIM input–output inoperability modeling -- LAN local area network -- MMI man-made machine interface -- MOP measurement of performance -- MTTR mean time to repair -- MTU master terminal unit -- OCS operational control system -- PL performance loss -- PN Petri-Net -- R robustness -- RA recovery ability -- RAPI rapidity -- RBC RTU battery capacity -- RL resilience loss -- RTU remote terminal unit -- RTI run time infrastructure -- SCADA supervisory control and data acquisition -- SD system dynamic -- SoS system of systems -- SUC system under control -- TAPL time averaged performance loss; Interdependent critical infrastructure -- Resilience -- Reliability -- Agent-based modeling -- Interdependency; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2016.08.013
• Languages: English
• ISSNs: 0951-8320

Abstract

Abstract: The importance of understanding system resilience and identifying ways to enhance it, especially for interdependent infrastructures our daily life depends on, has been recognized not only by academics, but also by the corporate and public sectors. During recent years, several methods and frameworks have been proposed and developed to explore applicable techniques to assess and analyze system resilience in a comprehensive way. However, they are often tailored to specific disruptive hazards/events, or fail to properly include all the phases such as absorption, adaptation, and recovery. In this paper, a quantitative method for the assessment of the system resilience is proposed. The method consists of two components: an integrated metric for system resilience quantification and a hybrid modeling approach for representing the failure behavior of infrastructure systems. The feasibility and applicability of the proposed method are tested using an electric power supply system as the exemplary infrastructure. Simulation results highlight that the method proves effective in designing, engineering and improving the resilience of infrastructures. Finally, system resilience is proposed as a proxy to quantify the coupling strength between interdependent infrastructures. Highlights: A method for quantifying resilience of interdependent infrastructures is proposed. It combines multi-layer hybrid modeling and a time-dependent resilience metric. The feasibility of the proposed method is tested on the electric power supply system. The method provides insights to decision-makers for strengthening system resilience. Resilience capabilities can be used to engineer interdependencies between subsystems.