A fixed-depth branch-and-bound algorithm using QC relaxation lower bounds narrows the optimality gap on small PGLib cases, without proof of global optimality.
Global optimization of optimal power flow using a quadratic convex relaxation,
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Scalable Global Optimization for AC-OPF via Quadratic Convex Relaxation and Branch-and-Bound
A fixed-depth branch-and-bound algorithm using QC relaxation lower bounds narrows the optimality gap on small PGLib cases, without proof of global optimality.