RT Journal Article
T1 Methodology for energy management strategies design based on predictive control techniques for smart grids
A1 Pajares Ferrando, Alberto
A1 Vivas Fernández, Francisco José
A1 Blasco Ferragud, Francesc Xavier
A1 Herrero Durá, Juan Manuel
A1 Segura Manzano, Francisca
A1 Andújar Márquez, José Manuel
AB This article focuses on the development of a general energy management system (EMS) design methodologyusing on model-based predictive control (MPC) for the control and management of microgrids. Different MPCbasedEMS for microgrids have been defined in the literature; however, there is a lack of generality in theproposed that would facilitate adapting to new architectures, energy storage system technology, nature of thebus, application, or purpose. To fill this gap, a novel general formulation that is parameterizable, simple, easilyinterpretable, and reproducible in different microgrid architectures is presented. This is the result of thedevelopment of a novel methodology, which is also presented. It considers the state space formulation of thecontroller from the initial modelling phase, from the dynamics of the energy storage systems represented by theirmodels to the subsequent definition of the optimisation problem. This is developed through the design of thegeneral cost function and the formulation of constrains, by means of general guidelines and reference values. Toevaluate the performance of the developed methodology, simulation tests were carried out for four differentmicrogrid architectures, with different applications and objectives, also considering different generation conditions,demand profiles, and initial conditions. The results showed that, with some simple guidelines andregardless of the case study, the developed MPC controller design methodology can address the technicaleconomicoptimisation problem associated with energy management in microgrids in an easy and intuitive way.
PB Elsevier
SN 0306-2619
SN 1872-9118 (electrónico)
YR 2023
FD 2023
LK https://hdl.handle.net/10272/22714
UL https://hdl.handle.net/10272/22714
LA eng
NO Pajares, A., Vivas, F. J., Blasco, X., Herrero, J. M., Segura, F., & Andújar, J. M. (2023). Methodology for energy management strategies design based on predictive control techniques for smart grids. In Applied Energy (Vol. 351, p. 121809). Elsevier BV. https://doi.org/10.1016/j.apenergy.2023.121809
NO This work was supported in part by grant PID2020-116616RB-C31and grant PID2021-124908NB-I00 founded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”; by the GeneralitatValenciana regional government through project CIAICO/2021/064, by Andalusian Regional Program of R + D + i (P20- 00730), and bythe project “The green hydrogen vector. Residential and mobilityapplication”, approved in the call for research projects of the CepsaFoundation Chair of the University of Huelva.
DS Repositorio Institucional de la Universidad de Huelva
RD 2 jun 2026