• DocumentCode
    77208
  • Title

    Optimization of Perturbative PV MPPT Methods Through Online System Identification

  • Author

    Manganiello, Patrizio ; Ricco, Mattia ; Petrone, Giovanni ; Monmasson, E. ; Spagnuolo, Giovanni

  • Author_Institution
    Seconda Univ. degli Studi di Napoli, Naples, Italy
  • Volume
    61
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    6812
  • Lastpage
    6821
  • Abstract
    The maximum power point (MPP) tracking function allows one to extract the maximum power from the photovoltaic (PV) system in any operating condition. The perturb and observe technique is one of the mainly used algorithms aimed at this function. Its performances depend on the values of the two design parameters, which are the amplitude and the frequency of the perturbations that it applies in identifying the position of the MPP. In this paper, a method for the online optimization of the perturbation period is presented. It is based on the identification of the whole system, including the PV source and the dc/dc converter controlling it. The system impulse and frequency responses are evaluated by using the cross-correlation method. Such a technique, as well as the tracking algorithm, is effectively implemented by using a field-programmable gate array, and it is validated by means of simulation and experimental results.
  • Keywords
    correlation methods; field programmable gate arrays; maximum power point trackers; optimisation; perturbation techniques; photovoltaic power systems; power system identification; solar cell arrays; transient response; MPP tracking function; PV MPPT method optimization; cross-correlation method; dc-dc converter control; field-programmable gate array; frequency response; impulse response; maximum power extraction; online system identification; perturb and observe technique; perturbation amplitude; perturbation frequency; photovoltaic system; DC-DC power converters; Field programmable gate arrays; Maximum power point trackers; Photovoltaic systems; Transfer functions; DC??DC power converters; photovoltaic systems;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2014.2317143
  • Filename
    6797917