Optimized Restoration Planning of Infrastructure System-of-Systems Using Heterogeneous Network Flow Simulation

Abstract

Inter- and intradependencies could lead to cascading failures in infrastructures or inefficient restoration of disrupted infrastructures. To help achieve optimized restoration of inter- and intradependent critical infrastructures (CIs), this study proposes an integrated flow-based model using a mixed-integer linear programming (MILP) formulation that is able to (1) capture the heterogeneity of nodes and arcs; (2) model disruptions to both nodes and arcs; and (3) consider varying levels of functional capabilities during the restoration process in a complex infrastructure system-of-systems. The effectiveness of the proposed model was tested in a case study consisting of intra- and interdependent oil, gas, coal, and electricity infrastructures. Results from the case study make both theoretical and methodological contributions for assessment of infrastructure restoration performance and uncertainty in postdisruption scenarios.