Multi-Time Scale Economic Scheduling Method Based on Day-Ahead Robust Optimization and Intraday MPC Rolling Optimization for Microgrid

Due to the source and load prediction errors uncertainties, real operation state of microgrid may deviate significantly from expected state, which leads prevent system reaching its economic effects. In order obtain optimal effects for scheduling, an scheduling model considered demand responses is built in this paper firstly, then a multi-time scale method based on day-ahead robust optimization intraday predictive control (MPC), developed as well. Moreover, stage, long-time interval set 1 h used address low-frequency component issues uncertainties. Meanwhile, enables gain day-head plan keep operating effectively even when large-scale fluctuations happen. Furthermore, short-time 15 mins MPC adopted track roll-correct plan, high-frequency Finally, simulation results demonstrate feasibility proposed validity method.