RT Journal Article
T1 Extended Model Predictive Controller to Develop Energy Management Systems in Renewable Source- Based Smart Microgrids with Hydrogen as Backup. Theoretical Foundation and Case Study
A1 Vivas Fernández, Francisco José
A1 Segura Manzano, Francisca
A1 Andújar Márquez, José Manuel
A1 Calderon Godoy, Antonio José
AB This article presents a methodological foundation to design and experimentally test aModel Predictive Controller (MPC) to be applied in renewable source-based microgrids withhydrogen as backup. The Model Predictive Controller has been developed with the aim to guaranteethe best energy distribution while the microgrid operation is optimized considering both technicaland economic parameters. As a differentiating element, this proposal provides a solution to theproblem of energy management in real systems, addressing technological challenges such as chargemanagement in topologies with direct battery connection, or loss of performance associated withequipment degradation or the required dynamics in the operation of hydrogen systems. That is, theproposed Model Predictive Controller achieves the optimization of microgrid operation both in theshort and in the long-term basis. For this purpose, a generalized multi-objective function has beendefined that considers the energy demand, operating costs, system performance as well as thesuffered and accumulated degradation by microgrid elements throughout their lifespan. Thegenerality in the definition of the model and cost function, allows multi-objective optimizationproblems to be raised depending on the application, topology or design criteria to be considered.For this purpose, a heuristic methodology based on artificial intelligence techniques is presented forthe tuning of the controller parameters. The Model Predictive Controller has been validated bysimulation and experimental tests in a case study, where the performance of the microgrid underenergy excess and deficit situations has been tested, considering the constrains defined by thedegradation of the systems that make up the microgrid. The designed controller always made itpossible to guarantee both the power balance and the optimal energy distribution between systemsaccording to the predefined priority and accumulated degradation, while guaranteeing themaximum operating voltage of the system with a margin of error less than 1%. The simulation andexperimental results for the case study showed the validity of the controller and the designmethodology used.
PB MDPI
SN 2071-1050
YR 2020
FD 2020-10
LK http://hdl.handle.net/10272/19005
UL http://hdl.handle.net/10272/19005
LA eng
NO Vivas Fernández, F. J., Segura Manzano, F., Andújar Márquez, J. M., & Calderón Godoy, A. J. (2020). Extended Model Predictive Controller to Develop Energy Management Systems in Renewable Source-Based Smart Microgrids with Hydrogen as Backup. Theoretical Foundation and Case Study. Sustainability, 12(21), 8969. DOI: https://doi.org/10.3390/su12218969
DS Repositorio Institucional de la Universidad de Huelva
RD 14 jul 2026