A two-stage stochastic multi-objective resilience optimization model for network expansion of interdependent power–water networks under disruption

Achara Tiong and Hector A. Vergara

International Journal of Critical Infrastructure Protection, 2023, vol. 40, issue C

Abstract: Network expansion of interdependent critical infrastructures under disruption uncertainty is modeled as a mixed-integer two-stage stochastic multi-objective optimization program. In this model, expected total cost and expected post-disaster resilience are considered competing objectives. Network resilience is quantified through network complexity and unmet demand. Functional relationships between critical infrastructures are modeled using a network-based approach with the physical interdependency enforced through demand constraints. Uncertainty is introduced as a set of random parameters corresponding to disruption scenarios. The proposed model is demonstrated in a case study of coupled power–water networks with the power flow in the grid modeled using linear DC power flow approximation equations. The deterministic-equivalent multi-objective model is solved using the augmented ϵ-constraint method. Solutions from stochastic and deterministic models are compared and the value of stochastic optimization is discussed.

Keywords: Multi-objective optimization; Two-stage stochastic programming; Interdependent networks; Resilience; Network expansion; DC power flow (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ijocip:v:40:y:2023:i:c:s187454822300001x

DOI: 10.1016/j.ijcip.2023.100588

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