Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration
The Penalty + Sequential Linearized Feasibility Seeking (SLFS) algorithm is presented, a self-supervised learning framework for multiphase distribution AC-OPF under switch-induced topology changes, demonstrating a viable path toward real-time, topology-aware AC-OPF for large-scale distribution grids.
H. Nguyen, Shao-Hui Liu, R. Biswas et al.
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