Economic model predictive control for energy management of a microgrid connected to the main electrical grid

dc.creatorAlarcón, Martín Alejandro
dc.creatorAlarcón, Rodrigo Germán
dc.creatorGonzález, Alejandro H.
dc.creatorFerramosca, Antonio
dc.creator.orcid0000-0002-3823-043x
dc.creator.orcid0000-0001-9936-1452
dc.creator.orcid0000-0001-9132-4577
dc.creator.orcid0000-0003-3935-9734
dc.date.accessioned2024-12-27T19:31:10Z
dc.date.issued2022-09
dc.description.abstractElectric microgrids have become an interesting tool to facilitate the inclusion of renewable energies. Its architecture and control system plays a fundamental role in the implementation of these systems. This paper proposes a control strategy for the management of energy resources in a residential microgrid. The system is made up of a set of solar panels as renewable resource, a storage system formed by a lithium-ion battery bank and a consumption profile according to a residence. The microgrid will be connected to the main electrical grid and the proposed management strategy consists in the implementation of a suitable Economic Model Predictive Control, where it considers the costs of use for the different components of the microgrid, thus contemplating the participation of the system as an active agent in the electricity market. Simulations were carried out with different scenarios of available resources and prediction times. In all cases, the objectives fulfilling by satisfying the restrictions operational and technical imposed on the system.
dc.description.affiliationFil: Alarcón, Martín Alejandro. Universidad Tecnológica Nacional, Facultad Regional Reconquista, Grupo de Investigación en Programación Electrónica y Control, Argentina.
dc.description.affiliationFil: Alarcón, Rodrigo Germán. Universidad Tecnológica Nacional, Facultad Regional Reconquista, Grupo de Investigación en Programación Electrónica y Control, Argentina.
dc.description.affiliationFil: González, Alejandro H. Instituto de Desarrollo Tecnológico para la Industria Química (INTEC), CONICET - Universidad Nacional del Litoral (UNL), Argentina.
dc.description.affiliationFil: Ferramosca, Antonio. Università degli Studi di Bergamo, Italia.
dc.formatpdf
dc.identifier.doihttps://doi.org/10.1016/j.jprocont.2022.07.004
dc.identifier.urihttp://hdl.handle.net/20.500.12272/12059
dc.language.isoen
dc.publisherScienceDirect
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Argentinaen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.rights.useLicencia Creative Commons / CC BY-NC (Autoría – No Comercial)
dc.subjectEconomic model predictive control
dc.subjectEnergy management
dc.subjectMicrogrid
dc.subjectRenewable energy
dc.subjectStorage
dc.titleEconomic model predictive control for energy management of a microgrid connected to the main electrical grid
dc.typeinfo:eu-repo/semantics/article
dc.type.versionpublisherVersion

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Economic model predictive control for energy management of a microgrid connected to the main electrical grid.pdf
Size:
82.6 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.63 KB
Format:
Item-specific license agreed upon to submission
Description: