A growing Neural Gas Network based MPPT Technique for Multi-String PV Plants (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• A growing Neural Gas Network based MPPT Technique for Multi-String PV Plants (Contributo in atti di convegno) (literal)

Anno

• 2010-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/ISIE.2010.5637832 (literal)

Alternative label

• M.C. Di Piazza, M. Pucci, A. Ragusa, G. Vitale (2010)
  A growing Neural Gas Network based MPPT Technique for Multi-String PV Plants
  in IEEE International Symposium on Industrial Electronics, Bari, 4-7 luglio 2010
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• M.C. Di Piazza, M. Pucci, A. Ragusa, G. Vitale (literal)

Pagina inizio

• 544 (literal)

Pagina fine

• 549 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5637832&contentType=Conference+Publications&searchField%3DSearch_All%26queryText%3DA+growing+Neural+Gas+Network+based+MPPT+Technique+for+Multi-String+PV+Plants (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• Industrial Electronics (ISIE), 2010 IEEE International Symposium on (literal)

Rivista

• Proceedings of the IEEE International Symposium on Industrial Electronics (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

• This paper presents a maximum power point tracking (MPPT) method founded on the integration of a model-based technique given by a growing neural gas (GNG) network and a perturb and observe (P&O) algorithm. The neural network is trained off line to estimate the solar irradiance and the maximum power point starting from a measurement of voltage and current on the photovoltaic source. A variable step size perturb & observe method is then utilized to track the true maximum power point. The method is set up for a DC/DC boost converter used in a multi-string PV architecture. The voltage control of the DC/DC converter is performed by a fuzzified PI, assuring the best dynamic performance and stability of the system in all working conditions. (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-ISSIA (literal)

Titolo

• A growing Neural Gas Network based MPPT Technique for Multi-String PV Plants (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-1-4244-6390-9 (literal)

Abstract

• This paper presents a maximum power point tracking (MPPT) method founded on the integration of a model-based technique given by a growing neural gas (GNG) network and a perturb and observe (P&O) algorithm. The neural network is trained off line to estimate the solar irradiance and the maximum power point starting from a measurement of voltage and current on the photovoltaic source. A variable step size perturb & observe method is then utilized to track the true maximum power point. The method is set up for a DC/DC boost converter used in a multi-string PV architecture. The voltage control of the DC/DC converter is performed by a fuzzified PI, assuring the best dynamic performance and stability of the system in all working conditions. (literal)

Prodotto di

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Convertitori, attuatori e azionamenti elettrici (SP.P03.011.001) (Modulo)

Autore CNR

• MARCELLO PUCCI (Unità di personale interno)
• ANTONELLA RAGUSA (Persona)
• GIANPAOLO VITALE (Unità di personale interno)
• MARIA CARMELA DI PIAZZA (Persona)

Insieme di parole chiave

• Parole chiave di "A growing Neural Gas Network based MPPT Technique for Multi-String PV Plants" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Convertitori, attuatori e azionamenti elettrici (SP.P03.011.001) (Modulo)

Autore CNR di

• MARIA CARMELA DI PIAZZA (Persona)
• MARCELLO PUCCI (Unità di personale interno)
• GIANPAOLO VITALE (Unità di personale interno)
• ANTONELLA RAGUSA (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Proceedings of the IEEE International Symposium on Industrial Electronics (Rivista)

Insieme di parole chiave di

• Parole chiave di "A growing Neural Gas Network based MPPT Technique for Multi-String PV Plants" (Insieme di parole chiave)