Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/72261
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mendez, J. | en_US |
dc.contributor.author | Falcon, A. | en_US |
dc.contributor.author | Hernandez, D. | en_US |
dc.date.accessioned | 2020-05-11T17:23:49Z | - |
dc.date.available | 2020-05-11T17:23:49Z | - |
dc.date.issued | 2010 | en_US |
dc.identifier.other | Scopus | - |
dc.identifier.uri | http://hdl.handle.net/10553/72261 | - |
dc.description.abstract | The 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.language | eng | en_US |
dc.relation.ispartof | Renewable energy and power quality journal | en_US |
dc.source | Renewable Energy and Power Quality Journal [EISSN 2172-038X],v. 1 (8), p. 114-119 | en_US |
dc.subject | 332202 Generación de energía | en_US |
dc.subject.other | Energy Storage | en_US |
dc.subject.other | Modelling Power Systems | en_US |
dc.subject.other | Power Quality | en_US |
dc.subject.other | Renewable Energies | en_US |
dc.subject.other | Systems Simulation | en_US |
dc.title | Simulation of storage systems for increasing the power quality of renewable energy sources | en_US |
dc.type | info:eu-repo/semantics/Article | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.24084/repqj08.252 | en_US |
dc.identifier.scopus | 84860764951 | - |
dc.contributor.authorscopusid | 55377382200 | - |
dc.contributor.authorscopusid | 6601997244 | - |
dc.contributor.authorscopusid | 57214438179 | - |
dc.identifier.eissn | 2172-038X | - |
dc.description.lastpage | 119 | en_US |
dc.identifier.issue | 8 | - |
dc.description.firstpage | 114 | en_US |
dc.relation.volume | 1 | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Artículo | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Abril 2010 | en_US |
dc.identifier.ulpgc | Sí | es |
item.grantfulltext | open | - |
item.fulltext | Con texto completo | - |
crisitem.author.dept | GIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos | - |
crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.orcid | 0000-0002-7467-947X | - |
crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.fullName | Falcón Martel,Antonio | - |
Appears in Collections: | Artículos |
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