• DocumentCode
    1432296
  • Title

    Single-Variable Optimization Method for Evaluating Solar Cell and Solar Module Parameters

  • Author

    Caracciolo, Francesco ; Dallago, Enrico ; Finarelli, Daniele Gianluigi ; Liberale, Alessandro ; Merhej, Patrick

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Pavia, Pavia, Italy
  • Volume
    2
  • Issue
    2
  • fYear
    2012
  • fDate
    4/1/2012 12:00:00 AM
  • Firstpage
    173
  • Lastpage
    180
  • Abstract
    This paper presents a simple and accurate method to assess the single-diode model parameters of an illuminated and dark solar cell (SC) and its extension to a photovoltaic solar module (PVSM). The proposed method is based on the acquisition of experimental data related to the v -i characteristics of illuminated or dark SC/PVSM at fixed climatic conditions. The method presented in a previous work is generalized, the effects of measurement uncertainty of the results are discussed, and its application to different technologies are shown. A micropower monocrystalline SC, a monocrystalline SC, a polycrystalline PVSM, and an amorphous PVSM have been characterized using direct insulation in an outside environment with a correlation coefficient up to the noise limit.
  • Keywords
    correlation methods; optimisation; solar cells; correlation coefficient; measurement uncertainty; noise limit; photovoltaic solar module; single diode model parameters; single variable optimization method; solar cell; Estimation; Mathematical model; Noise; Noise level; Noise measurement; Optimization; Photovoltaic cells; Parameters extraction; series resistance; single-diode model; solar cell (SC);
  • fLanguage
    English
  • Journal_Title
    Photovoltaics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2156-3381
  • Type

    jour

  • DOI
    10.1109/JPHOTOV.2011.2182181
  • Filename
    6140533