• DocumentCode
    2594117
  • Title

    Analysis of MPPT algorithms for photovoltaic panels based on ripple correlation techniques in presence of parasitic components

  • Author

    Spiazzi, G. ; Buso, S. ; Mattavelli, P.

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padova, Italy
  • fYear
    2009
  • fDate
    Sept. 27 2009-Oct. 1 2009
  • Firstpage
    88
  • Lastpage
    95
  • Abstract
    The maximum power point tracking algorithms based on power and voltage (or current) ripple components have been proved to allow an effective and low cost analog implementation, suitable for interfacing photovoltaic (PV) panels with batteries or inverters connected to the utility grid. However, when exploiting the inherent switching frequency ripple components caused by power converters, PV panel reactive parasitic elements, like output shunt capacitance and series inductance, can play a key role in determining the overall algorithm efficiency. The paper addresses this topic by investigating the effect of these parasitic components, through analytical models, as well as by simulations and experimental measurements, when a high-frequency (>100 kHz) DC-DC converter is employed as a MPP tracker.
  • Keywords
    DC-DC power convertors; photovoltaic cells; DC-DC converter; MPPT algorithms; maximum power point tracking; parasitic components; photovoltaic panels; power converters; ripple correlation techniques; utility grid; Algorithm design and analysis; Analytical models; Batteries; Costs; Inverters; Photovoltaic systems; Solar power generation; Switching converters; Switching frequency; Voltage; Maximum power point; photovoltaic panel; renewable energy; ripple correlation technique;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Conference, 2009. COBEP '09. Brazilian
  • Conference_Location
    Bonito-Mato Grosso do Sul
  • ISSN
    2175-8603
  • Print_ISBN
    978-1-4244-3369-8
  • Electronic_ISBN
    2175-8603
  • Type

    conf

  • DOI
    10.1109/COBEP.2009.5347738
  • Filename
    5347738