Stochastic Optimization for Resource Adequacy in Capacity Markets with Storage and Renewables

This paper proposes and validates a computationally tractable two-stage stochastic optimization framework for capacity procurement that integrates storage and renewables by modeling temporally correlated uncertainties, demonstrating that stochastic decomposition can efficiently solve large-scale problems while achieving faster convergence for optimization than for precise reliability metric estimation.

Baptiste Rabecq, Andy Sun, Feng Zhao + 3 more2026-03-05🔢 math