CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations

arXiv:2403.17660v1 Announce Type: new
Abstract: Optimal Power Flow (OPF) refers to a wide range of related optimization problems with the goal of operating power systems efficiently and securely. In the simplest setting, OPF determines how much power to generate in order to minimize costs while meeting demand for power and satisfying physical and operational constraints. In even the simplest case, power grid operators use approximations of the AC-OPF problem because solving the exact problem is prohibitively slow with state-of-the-art solvers. …

abstract arxiv costs cs.lg demand flow generate optimization power robust scalable solver systems type