Coordination of operational planning and real-time optimization in microgrids

Hierarchical microgrid control levels range from distributed device level controllers that run at a high frequency to centralized optimizing market integration much less frequently. Centralized are often subdivided into operational planning optimize decisions over time horizon of one or several days, and real-time optimization deal with actions in the current period. The coordination these is paramount importance. In this paper, we propose value function-based approach as way propagate information optimization. We apply method an environment where planning, using day-ahead forecasts, optimizes period resolution minimize total energy cost revenues, peak consumption injection-related costs, plans for reserve requirements. While copes forecast errors yields implementable based on measurements. compared rule-based controller three use cases, its sensitivity error assessed.