Economic Model Predictive Control for energy management in a microgrid

dc.creatorAlarcón, Martin
dc.creatorAlarcón, Rodrigo
dc.creatorGonzales, Alejandro
dc.creatorFerramosca, Antonio
dc.date2020-12-14T19:51:12Z
dc.date2020-12-14T19:51:12Z
dc.date2020-10-18
dc.date.accessioned2023-08-31T14:12:59Z
dc.date.available2023-08-31T14:12:59Z
dc.identifierISBN: 9789874685926
dc.identifierhttp://hdl.handle.net/20.500.12272/4647
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8546805
dc.descriptionThis article proposes a design strategy for energy flow controllers in microgrids with renewable generation within the framework of Economic Model Predictive Control (EMPC). The model used is made up of a storage system and a generation source, considering the possibility of exchanging energy with the main network, thus allowing to the microgrid, through the proposed control strategy, the possibility of acting and participating within the electrical market. The proposed unctional for the controller considers costs of use for the microgrid systems, as well the benefit from sale of energy to the main electrical network. The operation of the system is checked by simulating it in different scenarios.
dc.descriptionFil: Alarcón Martín: Universidad Tecnológica Nacional Facultad Regional Reconquista; Reconquista; Argentina. Alarcón Rodrigo: Universidad Tecnológica Nacional Facultad Regional Reconquista; Reconquista; Argentina. Gonzales Alejandro: INTEC, CONICET - UNL, Santa Fe, Argentina Ferramosca Antonio: CONICET. Universidad Tecnológica Nacional Facultad Regional Reconquista; Reconquista; Argentina.
dc.formatapplication/pdf
dc.languageeng
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsCC0 1.0 Universal
dc.rightsN/A
dc.subjectMicrogrid, Energy Management, Distributed Energy Resources, Predictive Control
dc.titleEconomic Model Predictive Control for energy management in a microgrid
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.typeacceptedVersion


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