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Neural networks based power flow control of the doubly fed induction generator

dc.contributor.authorSoares, Orlando
dc.contributor.authorGonçalves, Henrique
dc.contributor.authorMartins, António A.
dc.contributor.authorCarvalho, Adriano
dc.date.accessioned2012-09-13T09:34:55Z
dc.date.available2012-09-13T09:34:55Z
dc.date.issued2009
dc.description.abstractThis paper describes the models of wind power system, such as the turbine, the generator, the power electronics convertrs and the controllers,with the aim to control the generation of wind power in order to miximize the power generated with the lowest possible impact in the voltage and the frequency of the grid during normal operation and the under occurrency of faults. the present work considers a wind power system equipped with the Doubly Fed Induction Generator (DFIG) and a converter connected between the rotor and the grid. This system allows independent control of active and reactive power using neural networks based controllers.por
dc.identifier.citationSoares, Orlando; Gonçalves, Henrique; Martins, António; Carvalho, Adriano (2009). Neural networks based power flow control of the doubly fed induction generator. In 2nd International Conference on Power Engineering, Energy and Electrical Drives. Lisboa. p. 588-593. ISBN 978-1-4244-4611-7por
dc.identifier.isbn978-1-4244-4611-7
dc.identifier.isbn978-1-4244-2291-3
dc.identifier.urihttp://hdl.handle.net/10198/7529
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4907389por
dc.titleNeural networks based power flow control of the doubly fed induction generatorpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboapor
oaire.citation.endPage593por
oaire.citation.startPage588por
oaire.citation.title2nd International Conference on Power Engineering, Energy and Electrical Drivespor
person.familyNameSoares
person.givenNameOrlando
person.identifier.ciencia-id6B1D-E906-C118
person.identifier.orcid0000-0002-7731-5102
person.identifier.ridO-4067-2015
person.identifier.scopus-author-id56370132600
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication615c6198-e821-41f9-86d2-a96fd64888fa
relation.isAuthorOfPublication.latestForDiscovery615c6198-e821-41f9-86d2-a96fd64888fa

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