RT Journal Article
T1 Integration of a Multi-Stack Fuel Cell System in Microgrids: A Solution Based on Model Predictive Control
A1 Calderón, Antonio José
A1 Vivas Fernández, Francisco José
A1 Segura Manzano, Francisca
A1 Andújar Márquez, José Manuel
AB This paper proposes a multi-objective model predictive control (MPC) designed for thepower management of a multi-stack fuel cell (FC) system integrated into a renewable sources-basedmicrogrid. The main advantage of MPC is the fact that it allows the current timeslot to be optimizedwhile taking future timeslots into account. The multi-objective function solves the problem relatedto the power dispatch at time that includes criteria to reduce the multi-stack FC degradation,operating and maintenance costs, as well as hydrogen consumption. Regarding the scientific literature,the novelty of this paper lies in the proposal of a generalized MPC controller for a multi-stackFC that can be used independently of the number of stacks that make it up. Although all thestacks that make up the modular FC system are identical, their levels of degradation, in general,will not be. Thus, over time, each stack can present a different behavior. Therefore, the powercontrol strategy cannot be based on an equal distribution according to the nominal power of eachstack. On the contrary, the control algorithm should take advantage of the characteristics of themulti-stack FC concept, distributing operation across all the stacks regarding their capacity to producepower/energy, and optimizing the overall performance.
PB MDPI
SN 1996-1073
YR 2020
FD 2020-09
LK http://hdl.handle.net/10272/18821
UL http://hdl.handle.net/10272/18821
LA eng
NO Calderón, A. J., Vivas  Fernández, F. J., Segura Manzano, F., & Andújar  Márquez, J. M. (2020). Integration of a Multi-Stack Fuel Cell System in Microgrids: A Solution Based on Model Predictive Control. Energies, 13(18), 4924. DOI: https://doi.org/10.3390/en13184924
DS Repositorio Institucional de la Universidad de Huelva
RD 1 jun 2026