• DocumentCode
    13996
  • Title

    A Linear Identification of Diode Models from Single I V Characteristics of PV Panels

  • Author

    Lim, Li Hong Idris ; Zhen Ye ; Jiaying Ye ; Dazhi Yang ; Hui Du

  • Author_Institution
    Dept. of Electron. Syst., Univ. of Glasgow, Glasgow, UK
  • Volume
    62
  • Issue
    7
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    4181
  • Lastpage
    4193
  • Abstract
    This paper presents a novel approach on diode model parameter identification from the I- V characteristics of photovoltaic panels. Other than the prevailing methodology of solving a group of nonlinear equations from a few points on the I-V curve, the proposed methodology views the diode model as the equivalent output of a dynamic system. From this new viewpoint, diode model parameters are linked to the transfer function (after Laplace transform) of the same dynamic system whose parameters are then identified by a simple integral-based linear square. The indoor flash test shows the accuracy and effectiveness of the proposed method, and outdoor module testing shows its ability of online monitoring and diagnostics. Comparisons to the methods of Lambert W function and evolution algorithms are also included.
  • Keywords
    diodes; photovoltaic cells; regression analysis; search problems; PV panels; binary search algorithm; diode model parameter identification; indoor flash test; integral-based linear square; linear diode model identification; linear least squares; nonlinear equations; online diagnostics; online monitoring; outdoor module testing; photovoltaic panels; single I-V characteristics; transfer function; Accuracy; Equations; Laplace equations; Linear systems; Mathematical model; Transfer functions; $I$??? $V$ characteristics; Binary search algorithm; Diode model; I-V characteristics; binary search algorithm; diode model; linear least square; linear least squares;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2015.2390193
  • Filename
    7006754