Integration of a Multi-Stack Fuel Cell System in Microgrids: A Solution Based on Model Predictive Control
This paper proposes a multi-objective model predictive control (MPC) designed for the power management of a multi-stack fuel cell (FC) system integrated into a renewable sources-based microgrid. The main advantage of MPC is the fact that it allows the current timeslot to be optimized while taking fu...
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| Veröffentlicht in: | Energies (Basel) 2020-09, Vol.13 (18), p.4924, Article 4924 |
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| creator | Jose Calderon, Antonio Jose Vivas, Francisco Segura, Francisca Manuel Andujar, Jose |
| description | This paper proposes a multi-objective model predictive control (MPC) designed for the power management of a multi-stack fuel cell (FC) system integrated into a renewable sources-based microgrid. The main advantage of MPC is the fact that it allows the current timeslot to be optimized while taking future timeslots into account. The multi-objective function solves the problem related to 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-stack FC that can be used independently of the number of stacks that make it up. Although all the stacks 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 power control strategy cannot be based on an equal distribution according to the nominal power of each stack. On the contrary, the control algorithm should take advantage of the characteristics of the multi-stack FC concept, distributing operation across all the stacks regarding their capacity to produce power/energy, and optimizing the overall performance. |
| doi_str_mv | 10.3390/en13184924 |
| format | Article |
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| identifier | ISSN: 1996-1073 |
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| issn | 1996-1073 1996-1073 |
| language | eng |
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| source | DOAJ Directory of Open Access Journals; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals |
| subjects | Alternative energy sources Control algorithms Control theory Distributed generation Efficiency Energy & Fuels Energy resources Energy storage Fault diagnosis Fuel cells Fuel technology Greenhouse gases Linear programming Load Maintenance costs microgrid model predictive control Modular systems multi-objective multi-stack Objective function Operating costs Optimization PEM fuel cell Power management Renewable resources Science & Technology Stacks Technology |
| title | Integration of a Multi-Stack Fuel Cell System in Microgrids: A Solution Based on Model Predictive Control |
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