Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/72261
DC FieldValueLanguage
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-
Appears in Collections:Artículos
Thumbnail
Simulation_storage
Adobe PDF (407,37 kB)
Show simple item record

SCOPUSTM   
Citations

1
checked on Nov 17, 2024

Page view(s)

83
checked on Jan 27, 2024

Download(s)

19
checked on Jan 27, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.