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arXiv · 2106.02374

Coordination of operational planning and real-time optimization in microgrids

Jonathan Dumas·Selmane Dakir·Clément Liu·Bertrand Cornélusse
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Abstract

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 into 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.

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Jonathan Dumas, Selmane Dakir, Clément Liu, Bertrand Cornélusse. 2021-06-04. Coordination of operational planning and real-time optimization in microgrids. https://doi.org/10.1016/j.epsr.2020.106634

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