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Title: A framework for modeling and assessing system resilience using a Bayesian network : a case study of an interdependent electrical infrastructure systems
Authors: Hossain, Niamat Ullah Ibne.
Jaradat, Raed M.
Hosseini, Seyedmohsen.
Marufuzzaman, Mohammad.
Buchanan, Randy K.
Keywords: Bayesian network
Electrical infrastructure system
System resilience
Resilience capacity
Publisher: Information Technology Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Miscellaneous Paper (Engineer Research and Development Center (U.S.)) ; no. ERDC/ITL MP-21-2
Is Version Of: Hossain, Niamat Ullah Ibne, Raed Jaradat, Seyedmohsen Hosseini, Mohammad Marufuzzaman, and Randy K. Buchanan. "A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system." International Journal of Critical Infrastructure Protection 25 (2019): 62-83.
Abstract: This research utilizes Bayesian network to address a range of possible risks to the electrical power system and its interdependent networks (EIN) and offers possible options to mitigate the consequences of a disruption. The interdependent electrical infrastructure system in Washington, D.C. is used as a case study to quantify the resilience using the Bayesian network. Quantification of resilience is further analyzed based on different types of analysis such as forward propagation, backward propagation, sensitivity analysis, and information theory. The general insight drawn from these analyses indicate that reliability, backup power source, and resource restoration are the prime factors contributed towards enhancing the resilience of an interdependent electrical infrastructure system.
Description: Miscellaneous Paper
Gov't Doc #: ERDC/ITL MP-21-2
Rights: Approved for Public Release; Distribution is Unlimited
Size: 27 pages / 5.73 MB
Types of Materials: PDF
Appears in Collections:Miscellaneous Paper

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