RUJA: Repositorio Institucional de Producción Científica

 

DC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures: Appraisal, Optimal Scheduling and Analysis

dc.contributor.authorHabeeb, Salwan Ali
dc.contributor.authorTostado Véliz, Marcos
dc.contributor.authorHasanien, Hany M.
dc.contributor.authorTurky, Rania A.
dc.contributor.authorMeteab, Wisam Kareem
dc.contributor.authorJurado Melguizo, Francisco
dc.date.accessioned2024-10-30T09:41:40Z
dc.date.available2024-10-30T09:41:40Z
dc.date.issued2021-10-12
dc.description.abstractWith the development of electronic infrastructures and communication technologies and protocols, electric grids have evolved towards the concept of Smart Grids, which enable the communication of the different agents involved in their operation, thus notably increasing their efficiency. In this context, microgrids and nanogrids have emerged as invaluable frameworks for optimal integration of renewable sources, electric mobility, energy storage facilities and demand response programs. This paper discusses a DC isolated nanogrid layout for the integration of renewable generators, battery energy storage, demand response activities and electric vehicle charging infrastructures. Moreover, a stochastic optimal scheduling tool is developed for the studied nanogrid, suitable for operators integrated into local service entities along with the energy retailer. A stochastic model is developed for fast charging stations in particular. A case study serves to validate the developed tool and analyze the economical and operational implications of demand response programs and charging infrastructures. Results evidence the importance of demand response initiatives in the economic profit of the retailer.es_ES
dc.identifier.citationHabeeb, S.A.; Tostado-Véliz, M.; Hasanien, H.M.; Turky, R.A.; Meteab, W.K.; Jurado, F. DC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures: Appraisal, Optimal Scheduling and Analysis. Electronics 2021, 10, 2484. https://doi.org/10.3390/electronics10202484es_ES
dc.identifier.issn2079-9292es_ES
dc.identifier.other10.3390/electronics10202484es_ES
dc.identifier.urihttps://www.mdpi.com/2079-9292/10/20/2484es_ES
dc.identifier.urihttps://hdl.handle.net/10953/3316
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.ispartofElectronics [2021]; [10]: [2484]es_ES
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectDC nanogrides_ES
dc.subjectMicrogrides_ES
dc.subjectElectric vehiclees_ES
dc.subjectDemand responsees_ES
dc.subjectOptimal schedulinges_ES
dc.subjectUncertaintyes_ES
dc.titleDC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures: Appraisal, Optimal Scheduling and Analysises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_ES

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
Manuscript - RUJA.pdf
Tamaño:
1.26 MB
Formato:
Adobe Portable Document Format
Descripción:

Bloque de licencias

Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
2.02 KB
Formato:
Item-specific license agreed upon to submission
Descripción:

Colecciones