Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/72261
Campo DC Valoridioma
dc.contributor.authorMendez, J.en_US
dc.contributor.authorFalcon, A.en_US
dc.contributor.authorHernandez, D.en_US
dc.date.accessioned2020-05-11T17:23:49Z-
dc.date.available2020-05-11T17:23:49Z-
dc.date.issued2010en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/72261-
dc.description.abstractThe use of renewable energy sources (RES) in electricity generation has many economical and environmental advantages, but has a downside in the instability and unpredictability introduced into the public electric systems. High variable energies such as wind power have a lack of stability and, to avoid short-term variations in power supplied to the grid, a local storage subsystem can be used to provide higher quality in the fed energy. This paper contains a mathematical model and a simulator focused on energy management that may be useful to evaluate the service quality, the energy efficiency and the required storage capacity.en_US
dc.languageengen_US
dc.relation.ispartofRenewable energy and power quality journalen_US
dc.sourceRenewable Energy and Power Quality Journal [EISSN 2172-038X],v. 1 (8), p. 114-119en_US
dc.subject332202 Generación de energíaen_US
dc.subject.otherEnergy Storageen_US
dc.subject.otherModelling Power Systemsen_US
dc.subject.otherPower Qualityen_US
dc.subject.otherRenewable Energiesen_US
dc.subject.otherSystems Simulationen_US
dc.titleSimulation of storage systems for increasing the power quality of renewable energy sourcesen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.24084/repqj08.252en_US
dc.identifier.scopus84860764951-
dc.contributor.authorscopusid55377382200-
dc.contributor.authorscopusid6601997244-
dc.contributor.authorscopusid57214438179-
dc.identifier.eissn2172-038X-
dc.description.lastpage119en_US
dc.identifier.issue8-
dc.description.firstpage114en_US
dc.relation.volume1en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateAbril 2010en_US
dc.identifier.ulpgces
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.orcid0000-0002-7467-947X-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameFalcón Martel,Antonio-
Colección:Artículos
miniatura
Simulation_storage
Adobe PDF (407,37 kB)
Vista resumida

Citas SCOPUSTM   

1
actualizado el 17-nov-2024

Visitas

83
actualizado el 27-ene-2024

Descargas

19
actualizado el 27-ene-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.