Intelligent Power Conversion System Management for Photovoltaic Generation (Articolo in rivista)

Type
Label
  • Intelligent Power Conversion System Management for Photovoltaic Generation (Articolo in rivista) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.seta.2013.02.003 (literal)
Alternative label
  • Maria Carmela Di Piazza, Marcello Pucci, Gianpaolo Vitale (2013)
    Intelligent Power Conversion System Management for Photovoltaic Generation
    in Sustainable Energy Technologies and Assessments; Elsevier Science Ltd., Oxford (Regno Unito)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Maria Carmela Di Piazza, Marcello Pucci, Gianpaolo Vitale (literal)
Pagina inizio
  • 19 (literal)
Pagina fine
  • 30 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • NC (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.sciencedirect.com/science/article/pii/S2213138813000271 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 12 (literal)
Note
  • Science direct - Elsevier (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR - ISSIA (literal)
Titolo
  • Intelligent Power Conversion System Management for Photovoltaic Generation (literal)
Abstract
  • In this paper an intelligent management of a grid-connected PV system is proposed. The MPPT is based on the online estimation of the solar irradiance by the Growing Neural Gas (GNG) network. The PV system is composed of a DC/DC boost converter performing the MPPT and a single phase active rectifier controlled by a VOC algorithm for the connection to the grid. Each part of the PV system is controlled in a coordinated way with respect to the others, according to a general intelligent management strategy. The whole PV system, including the adopted neural-based MPPT, has been experimentally tested on a suitably devised test rig. The PV source is obtained by a power emulator to properly test the system under all possible operating conditions, including partial shading. A comparison between the proposed approach and a classical P&O technique has been done on a real irradiance profile on a daily scale, showing an increase of the generated power of 13%. The main drawback of the GNG-based MPPT is the need for a preliminary knowledge of the set of PV characteristics based on either a mathematical model or measured data, for the off line training of the GNG. Furthermore, the proposed MPPT exhibits a higher robustness with respect to the P&O under partial shading. (literal)
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