2017/11/06 by Yushi Tan, Tan, Yushi, Arindam K. Das +5 · 2 citations
Engineering · #FOS: Mathematics #Infrastructure Resilience and Vulnerability Analysis #Optimal Power Flow Distribution #Optimization and Control (math.OC) #Smart Grid Security and Resilience
paper · pdf · doi:10.48550/arxiv.1711.02205
openalex publication_date 2017/11/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Distribution systems are often crippled by catastrophic damage caused by a natural disaster. Well-designed hardening can significantly improve the performance of post-disaster restoration operations. Such performance is quantified by a resilience measure associated with the operability trajectory. The distribution system hardening problem can be formulated as a two-stage stochastic problem, where the inner operational problem addresses the proper sequencing of post-disaster repairs and the outer problem the judicious selection of components to harden. We propose a deterministic robust reformulation with two solution methods, an MILP formulation and a heuristic approach. We provide computational evidence on various IEEE test feeders which illustrates that the heuristic approach provides near-optimal hardening solutions efficiently.