A Tri-Level Optimization Model for Interdependent Infrastructure Network Resilience Against Compound Hazard Events

• DOI: 10.48550/arxiv.2310.10587
• Publication Date: 2023-01-01
• Authors: Matthew R. Oster; Ilya Amburg; Samrat Chatterjee; Daniel A. Eisenberg; Dennis Thomas; Feng Pan; Auroop R. Ganguly
• Keywords: Notional amount; Resilience; Supply network

Resilient operation of interdependent infrastructures against compound hazard events is essential for maintaining societal well-being. To address consequence assessment challenges in this problem space, we propose a novel tri-level optimization model applied to proof-of-concept case study with fuel distribution and transportation networks -- encompassing one realistic network; fictitious, yet as well drawn from three synthetic distributions. Mathematically, our approach takes the form defender-attacker-defender (DAD) multi-agent optimization, comprised defender, attacker, an operator acting sequence. Here, notional may choose proxy actions operate system terminals gas stations (functioning supplies) network traffic flow demand) minimize unmet demand at stations. A attacker aims hypothetically disrupt normal operations by reducing supply terminals, defender identify best defense policy options which include hardening or allowing alternative methods such trucking reserve supplies. We solve DAD formulation metropolitan scale present practical insights hypothetical hazards. demonstrate generalizability framework presenting results Additionally, scalability investigating runtime performance function size. Steps future research are also discussed.