[en] Hierarchical microgrid control levels range from distributed device level controllers that run at a high frequency to centralized controllers optimizing market integration that run much less frequently. Centralized controllers are often subdivided in operational planning controllers that optimize decisions over a time horizon of one or several days, and real-time optimization controllers that deal with actions in the current market period. The coordination of these levels is of paramount importance. In this paper we propose a value function based approach as a way to propagate information from operational planning to real-time optimization. We apply this method to an environment where operational planning, using day-ahead forecasts, optimizes at a market period resolution the decisions to minimize the total energy cost and revenues, the peak consumption and injection related costs, and plans for reserve requirements. While real-time optimization copes with the forecast errors and yields implementable actions based on real-time measurements. The approach is compared to a rule-based controller on three use cases, and its sensitivity to forecast error is assessed.
Disciplines :
Computer science Energy
Author, co-author :
Dumas, Jonathan ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart-Microgrids
Language :
English
Title :
Presentation of the coordination of operational planning and real-time optimization in microgrids
Publication date :
July 2020
Event name :
XXI Power Systems Computation Conference
Event date :
29/06/2020 - 03/07/2020
By request :
Yes
Audience :
International
References of the abstract :
Dumas, Jonathan, et al. "Coordination of operational planning and real-time optimization in microgrids." (2020).