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Infrastructure Resilience Conference 2018

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Optimization-Based Investment Planning for Enhanced Critical Infrastructure Resilience

The resilience of critical infrastructure (CI) under disruptions is characterized not only by pre-event preparedness for failure mitigation but also the post-event relief for rapid recovery of system functionality. To examine the decision-making process at ex ante and ex post disruption stages, this paper develop a tri-level defender-attacker-defender optimization framework that optimally allocates preparedness and recovery expenditures to increase the resilience of a CI system. The investment decisions that maximize system resilience are derived by anticipating the worst case realization of uncertain future disruptions, i.e. by assuming there is intelligent “attacker” who has perfect knowledge of the system and uses limited resources to deliberately damage the system. In addition, unlike most literature wherein all protected components are assumed to be indestructible, a probabilistic approach is utilized in this study to model the failure of protected components under attacks. An efficient algorithm is developed for solving the proposed optimization model and new insights are provided by an illustrative case study involving a realistic electrical infrastructure network.

Yiping Fang
CentraleSupélec
France

Enrico Zio
CentraleSupélec
France

 

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