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Tipo di prodottoArticolo in rivista
TitoloGrowing Neural Gas-Based MPPT of Variable Pitch
Anno di pubblicazione2012
FormatoElettronico
Autore/iCirrincione Maurizio, Pucci MArcello, Vitale Gianpaolo.
Affiliazioni autoriUniversity of Technology of Belfort-Montbéliard, 90010 Belfort, France
Autori CNR e affiliazioni
  • GIANPAOLO VITALE
  • MARCELLO PUCCI
Lingua/e
  • inglese
AbstractThis paper proposes a maximum power point tracking (MPPT) technique for variable pitch wind generators with induction machines, which can suitably be adopted in both the maximum power range and the constant power range of the wind speed. For this purpose, anMPPT technique based on the growing neural gas (GNG) wind turbine surface identification and the corresponding function inversion has been adopted to cover also the situation of constant rated power region. This has been obtained by including the blade pitch angle in the space of the data learnt by the GNG and feeding back the estimated wind speed to compute the correct value of the pitch angle, which permits the machine to work at rated power and torque. A further enhancement of the pitch angle selection by a simple perturb & observe method has been added to cope with slight wind estimation errors occurring at machine rated speed. The proposed methodology has been verified both in numerical simulation and experimentally on a properly devised test setup. The correct behavior of the system has been proved also on a real wind speed profile on a daily scale.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da1006
Pagine a1016
Pagine totali11
RivistaIEEE transactions on industry applications
Attiva dal 1972
Editore: Institute of Electrical and Electronic Engineers] - [New York,
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 0093-9994
Titolo chiave: IEEE transactions on industry applications
Titolo proprio: IEEE transactions on industry applications.
Titolo abbreviato: IEEE trans. ind. appl.
Titoli alternativi:
  • Transactions on industry applications
  • Industry applications
Numero volume della rivista48
Fascicolo della rivista3
DOI10.1109/TIA.2012.2190964
Verificato da refereeSì: Internazionale
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:6170040)
Parole chiaveInduction machine, maximum power point, tracking (MPPT), neural networks (NNs), variable pitch turbines.
Link (URL, URI)http://www.scopus.com/inward/record.url?eid=2-s2.0-84861431489&partnerID=40&md5=e02876dcc1d99ec43757cc5915c2e0be
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioniquartile: Q1
Strutture CNR
  • ISSIA — Istituto di studi sui sistemi intelligenti per l'automazione
Moduli/Attività/Sottoprogetti CNR
  • SP.P03.011.001 : Convertitori, attuatori e azionamenti elettrici
Progetti Europei-
Allegati
Growing Neural Gas-Based MPPT of Variable Pitch (documento privato )
Tipo documento: application/pdf

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Editore
  • IEEE-Institute Of Electrical And Electronics Engineers Inc., Piscataway (Stati Uniti d'America)