A progressive integrality outer-inner approximation framework solves large-scale AC unit commitment problems faster and more robustly than commercial solvers on 200- and 500-bus networks.
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Develops a convex optimization method using graph Laplacians and linear matrix inequalities to minimize expected synchronization cost in lossless power networks, validated on the IEEE 30-bus test system with reported reductions in transients.
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Warm-Startable Progressive Integrality Outer-Inner Approximation for AC Unit Commitment with Conic Formulation
A progressive integrality outer-inner approximation framework solves large-scale AC unit commitment problems faster and more robustly than commercial solvers on 200- and 500-bus networks.
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Minimizing the Expected Cost of Synchronization in Lossless Power Networks
Develops a convex optimization method using graph Laplacians and linear matrix inequalities to minimize expected synchronization cost in lossless power networks, validated on the IEEE 30-bus test system with reported reductions in transients.