Probabilistic Shared Risk Link Groups Modeling Correlated Resource Failures Caused by Disasters

@article{Vass2021ProbabilisticSR,
  title={Probabilistic Shared Risk Link Groups Modeling Correlated Resource Failures Caused by Disasters},
  author={B{\'a}lazs Vass and J{\'a}nos Tapolcai and Zal{\'a}n Heszberger and J{\'o}zsef B{\'i}r{\'o} and David Hay and Fernando A. Kuipers and Jorik Oostenbrink and Alessandro Valentini and Lajos R{\'o}nyai},
  journal={IEEE Journal on Selected Areas in Communications},
  year={2021},
  volume={39},
  pages={2672-2687}
}
To evaluate the expected availability of a backbone network service, the administrator should consider all possible failure scenarios under the specific service availability model stipulated in the corresponding service-level agreement. Given the increase in natural disasters and malicious attacks with geographically extensive impact, considering only independent single component failures is often insufficient. This paper builds a stochastic model of geographically correlated link failures… 
A Stochastic Planning Model for Improving Resilience of Distribution System Considering Master-Slave Distributed Generators and Network Reconfiguration
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This study presents a new two-stage stochastic mixed-integer linear programming model (SMILP) to hedge against natural disaster uncertainty and demonstrates the effectiveness of the proposed model in improving disaster-induced the resilience of distribution systems.

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