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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Lumbreras Sancho, Sara | es-ES |
dc.contributor.author | Ramos Galán, Andrés | es-ES |
dc.date.accessioned | 2016-01-15T11:26:59Z | - |
dc.date.available | 2016-01-15T11:26:59Z | - |
dc.date.issued | 19/06/2011 | es_ES |
dc.identifier.uri | http://hdl.handle.net/11531/5566 | - |
dc.description | Capítulos en libros | es_ES |
dc.description.abstract | es-ES | |
dc.description.abstract | Optimizing the electric design of an offshore wind farm is a key issue given cost and reliability considerations. The model presented here has been developed to efficiently optimize the electric layout of a wind farm taking into account stochasticity in wind scenarios and component failures. Given the suitable structure of the problem, Benders’ decomposition method has been applied to the model successfully finding optimal solutions in a reduced computation time. | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.publisher | Norwegian University of Science Technology (NTNU), IEEE PE Norway Chapter (Trondheim, Noruega) | es_ES |
dc.rights | es_ES | |
dc.rights.uri | es_ES | |
dc.source | Libro: IEEE PES Trondheim PowerTech 2011, Página inicial: , Página final: | es_ES |
dc.subject.other | Instituto de Investigación Tecnológica (IIT) | es_ES |
dc.title | A benders’ decomposition approach for optimizing the electric system of offshore wind farms | es_ES |
dc.type | info:eu-repo/semantics/bookPart | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es_ES |
dc.keywords | es-ES | |
dc.keywords | Offshore installations, Wind Energy, Power System Reliability, Circuit Optimization, Integer Linear Programming, Stochastic Optimization. | en-GB |
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Fichero | Descripción | Tamaño | Formato | |
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IIT-11-102A.pdf | 395,88 kB | Adobe PDF | Visualizar/Abrir Request a copy |
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