2026-04-05T10:47:19Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3283772026-01-23T03:59:06Zcom_2072_1033col_2072_452950

A model predictive control-based energy management scheme for hybrid storage system in islanded microgrids Raveendran Nair, Unnikrishnan Costa Castelló, Ramon Àrees temàtiques de la UPC::Informàtica::Automàtica i control Àrees temàtiques de la UPC::Energies::Tecnologia energètica::Emmagatzematge i transport de l'energia Energy storage Smart power grids Energy management Model predictive control Fuzzy systems Energy storage systems Degradation reduction Islanded microgrid Energia -- Emmagatzematge Xarxes elèctriques intel·ligents Model predictive control (MPC) facilitates online optimal resource scheduling in electrical networks, thermal systems, water networks, process industry to name a few. In electrical systems, the capability of MPC can be used not only to minimise operating costs but also to improve renewable energy utilisation and energy storage system degradation. This work assesses the application of MPC for energy management in an islanded microgrid with PV generation and hybrid storage system composed of battery, supercapacitor and regenerative fuel cell. The objective is to improve the utilisation of renewable generation, the operational efficiency of the microgrid and the reduction in rate of degradation of storage systems. The improvements in energy scheduling, achieved with MPC, are highlighted through comparison with a heuristic based method, like Fuzzy inference. Simulated behaviour of an islanded microgrid with the MPC and fuzzy based energy management schemes will be studied for the same. Apart from this, the study also carries out an analysis of the computational demand resulting from the use of MPC in the energy management stage. It is concluded that, compared to heuristic methods, MPC ensures improved performance in an islanded microgrid. This work was supported in part by the European Union’s Horizon 2020 Research and Innovation Program under the Marie Skłodowska Curie under Grant 675318 (INCITE), in part by the Spanish State Research Agency through the Maria de Maeztu Seal of Excellence to IRI under Grant MDM-2016-0656, and in part by the Spanish National Project DOVELAR (MCIU/AEI/FEDER, UE) under Grant RTI2018-096001-B-C32. Peer Reviewed Postprint (published version) 2020-05-21 Article https://ieeexplore.ieee.org/document/9097839 info:eu-repo/grantAgreement/MINECO/2PE/MDM-2016-0656 info:eu-repo/grantAgreement/EC/H2020/675318/EU/Innovative controls for renewable sources Integration into smart energy systems/INCITE info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096001-B-C32/ES/CONTROL Y GESTION DE ENERGIA EN VEHICULOS ELECTRICOS HIBRIDOS CON PILAS DE COMBUSTIBLE/ http://creativecommons.org/licenses/by/3.0/es/ Open Access Attribution 3.0 Spain Institute of Electrical and Electronics Engineers (IEEE)