Modeling a residential microgrid for energy management

dc.creatorAlarcón, Martín Alejandro
dc.creatorAlarcón, Rodrigo Germán
dc.creatorGonzález, Alejandro H.
dc.creatorFerramosca, Antonio
dc.date.accessioned2020-12-14T19:43:54Z
dc.date.available2020-12-14T19:43:54Z
dc.date.issued2020-10-18
dc.description.abstractThis article proposes a discrete time model for the energy management of a residential microgrid. It consists on array of solar panels, a storage system (made up of a lithiumion battery bank) and a load profile in line to the one of a typical residence. It is considered that it can operate connected to the main electrical network. The way to determine the loads is indicated, as well as the way to obtain the power profile generated through simulation models and the modeling of batteries that make up the storage system. The goal of the work is to obtain a suitable model to implement Model Predictive Control (MPC) strategies in the management of microgrid energy resource. Index Terms—Microgrid, Renewable Energy, Energy Management, Distributed Generationes_ES
dc.description.affiliationFil: Alarcón Martín: Universidad Tecnológica Nacional, Facultad Regional Reconquista, Argentina. Alarcón Rodrigo: Universidad Tecnológica Nacional, Facultad Regional Reconquista, Argentina. Gonzales Alejandro: INTEC, CONICET - UNL, Santa Fe, Argentina Ferramosca Antonio: CONICET. Universidad Tecnológica Nacional Facultad Regional Reconquista; Reconquista; Argentina.es_ES
dc.formatapplication/pdfes_ES
dc.identifier.isbnISBN: 9789874685926
dc.identifier.urihttp://hdl.handle.net/20.500.12272/4646
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.rights.uriCC0 1.0 Universal*
dc.rights.useN/Aes_ES
dc.subjectElectric power generation; renewable energieses_ES
dc.titleModeling a residential microgrid for energy managementes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.type.versionacceptedVersiones_ES

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
AADECA_2020_paper_101.pdf
Size:
607.69 KB
Format:
Adobe Portable Document Format
Description:

License bundle

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