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The day-ahead energy and reserve management with transmission restrictionsand voltage security limits is a challenging task for large-scale power systemsin the presence of real-time variations caused by the uncertain demand and thefluctuating power output of renewable energy sources (RESs). The proposedformulation in this work supports joint scheduling of energy and reserve topromote an economic and reliable operation. To improve its scalability, atwo-stage iterative optimization algorithm is proposed based on Bender'sdecomposition framework. Therewith, the optimal schedule is computed subject tothe feasibility of AC network constraints (AC-NCs) at predetermined uncertainrealizations. A convex relaxation is applied to AC-NCs to support theconvergence of the algorithm. Moreover, the integration of RESs is oftenlimited by transmission congestion issues in existing grids. For such grids, ACto DC conversion schemes can be viable and attractive options for capacityexpansion. In this study, we adopt a hybrid AC/DC transmission grid (HTG)architecture with a specific topology to improve the effective utilization ofthe grid capacity and accommodate more demand and RESs, which is showcased viasimulations on a large-scale network. Moreover, HTG induces exactness of theconvex relaxation of AC-NCs, supporting the validity of the optimal schedule.

Network-Constrained Robust Unit Commitment for Hybrid AC/DC Transmission Grids