• DocumentCode
    3577376
  • Title

    Basic parameter extraction from an organic solar cell through the single diode model and a metaheuristic technique with the Lambert W function

  • Author

    Tutkun, Nedim ; Elibol, Erdem ; Maden, Dincer

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Duzce Univ., Duzce, Turkey
  • fYear
    2014
  • Firstpage
    554
  • Lastpage
    558
  • Abstract
    Recently solar power has increasingly been used to generate electricity worldwide through photovoltaic (PV) systems. The electrical performance of each PV module plays major role in maximum power transfer. In order to absorb the maximum power from such systems, optimal output voltage and current should be obtained from the I-V characteristics of previously developed models. It is fact that, this is a relatively uneasy task because manufacturer´s data sheet is confined to limited number of measured values. In this study, the hybrid genetic algorithms method is employed to extract basic parameters of the ideality factor and the parasitic resistances in the single diode model to transfer maximum power from a PV module to a resistive electrical load. Optimal parameters in the circuital model are found using the I-V characteristic of a silicon diode expressed by the Lambert W function. The results are meaningful and encouraging for maximum power transfer under certain conditions.
  • Keywords
    diodes; electric power generation; genetic algorithms; load (electric); photovoltaic power systems; silicon; solar cells; solar power; I-V characteristics; Lambert W function; PV module system; Si; basic parameter extraction; circuital model; electrical performance; electricity generation; hybrid genetic algorithms method; ideality factor; manufacturers data sheet; maximum power transfer; metaheuristic technique; optimal output current; optimal output voltage; organic solar cell; parasitic resistances; photovoltaic module systems; resistive electrical load; single diode model; solar power; Resistance; hybrid genetic algorithms; organic solar cells; parameter extraction; renewable energy systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable and Sustainable Energy Conference (IRSEC), 2014 International
  • Print_ISBN
    978-1-4799-7335-4
  • Type

    conf

  • DOI
    10.1109/IRSEC.2014.7059778
  • Filename
    7059778