A scalable PTDF-based two-stage optimization framework with trust-region multicut Benders decomposition for co-optimizing transmission and storage under high renewables, demonstrated on a 2000-bus synthetic Texas system with sub-2% optimality gaps.
Implementing automatic benders decomposition in a modern mip solver,
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High-Resolution PTDF-Based Planning of Storage and Transmission Under High Renewables
A scalable PTDF-based two-stage optimization framework with trust-region multicut Benders decomposition for co-optimizing transmission and storage under high renewables, demonstrated on a 2000-bus synthetic Texas system with sub-2% optimality gaps.