Real-time integration of optimal generation scheduling with MPC for the energy management of a renewable hydrogen-based microgrid

Mario Petrollese, Luis Valverde, Daniele Cocco, Giorgio Cau and José Guerra

Applied Energy, 2016, vol. 166, issue C, 96-106

Abstract: This paper presents a novel control strategy for the optimal management of microgrids with high penetration of renewable energy sources and different energy storage systems. The control strategy is based on the integration of optimal generation scheduling with a model predictive control in order to achieve both long and short-term optimal planning. In particular, long-term optimization of the various microgrid components is obtained by the adoption of an optimal generation scheduling, in which a statistical approach is used to take into account weather and load forecasting uncertainties. The real-time management of the microgrid is instead entrusted to a model predictive controller, which has the important feature of using the results obtained by the optimal generation scheduling.

Keywords: Energy management strategy; Energy storage systems; Hydrogen storage; Renewable energy (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (48)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:166:y:2016:i:c:p:96-106

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DOI: 10.1016/j.apenergy.2016.01.014

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