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eess.SY2026
UNION: A Unified AC-OPF Framework for Topology-Varying Real-Time Grid Operation
Kyungnam Park, Keunju Song, Yeji Lim +3
Secure real-time grid operation requires fast AC optimal power flow (AC-OPF) tools that stay accurate and feasible as operating conditions and topology change. Learning-based metho…
eess.SY2026
SABLE: GPU-Based Power Flow Accelerator for Sparsity-Aware Batched Learning
Suho Park, Keunju Song, Hongseok Kim
Recent studies have developed GPU-based approaches for solving AC power flow and successfully applied them to standalone power flow problems. However, integrating these approaches…
eess.SY2026
Physics-Informed Graph Learning Acceleration for Large-Scale AC-OPF with Topology Changes
Keunju Song, Kyungnam Park, Sua Choi +5
In power systems, alternating current optimal power flow (AC-OPF) has been a challenging problem for decades due to its nonconvexity, but fast and efficient solutions are even more…