• DocumentCode
    258998
  • Title

    Input characteristic impedance technique of power converters circuits applied to the maximum power point tracker of photovoltaic panels

  • Author

    Zanotti, Jefferson William ; Cruz Martins, Denizar

  • Author_Institution
    Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianopolis, Brazil
  • fYear
    2014
  • fDate
    17-20 Nov. 2014
  • Firstpage
    292
  • Lastpage
    295
  • Abstract
    In this paper a maximum power point tracker (MPPT) method for photovoltaic (PV) panels using the input characteristic impedance (ICI) of power circuits is presented. The proposed MPPT algorithm employs just a single voltage sensor. Although the input impedance theoretically depends on its load resistance, it is shown that using the proposed algorithm the maximum available PV power is obtained without previous knowledge of the load resistance value. This technique can be applied to any dc-dc power converter circuit, mainly to the basic dc-dc converters as: Buck, Boost, Buck-Boost, Cúk, SEPIC, and Zeta. To validate the proposal method the Zeta power converter circuit was chosen.
  • Keywords
    maximum power point trackers; photovoltaic power systems; solar cells; Cúk converter; ICI; MPPT method; PV panels; SEPIC converter; Zeta power converter; buck-boost converter; dc-dc power converter circuit; input characteristic impedance technique; load resistance; load resistance value; maximum power point tracker; photovoltaic panels; power circuits; power converters circuits; single voltage sensor; DC-DC power converters; Impedance; Maximum power point trackers; Photovoltaic systems; Resistance; Temperature; Voltage measurement; PV panels; Zeta converter; input characteristic impedance; maximum power point tracker; power converter circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (APCCAS), 2014 IEEE Asia Pacific Conference on
  • Conference_Location
    Ishigaki
  • Type

    conf

  • DOI
    10.1109/APCCAS.2014.7032777
  • Filename
    7032777