Optimal Scheduling of Energy Storage Systems with Private Ownership Based on a Stochastic-Robust Hybrid Optimization Model in Energy and Ancillary Services Markets
In this paper, the problem of participation of a Battery Energy Storage (BES) in the Day-Ahead Market (DAM) and Real-Time Market (RTM) in three cases including Joint Energy Kit da Viaggio and Reactive Power Market (JERPM), Energy Market (EM) and Energy and Reserve Market (ERM) is modeled based on a hybrid Stochastic Robust Optimization (SRO) model