• DocumentCode
    605324
  • Title

    Comparative study on single diode photovoltaic module parameter extraction methods

  • Author

    Mohapatra, Arupa ; Nayak, B.K. ; Mohanty, K.B.

  • Author_Institution
    Sch. of Electr. Eng., KIIT Univ., Bhubaneswar, India
  • fYear
    2013
  • fDate
    6-8 Feb. 2013
  • Firstpage
    30
  • Lastpage
    34
  • Abstract
    This paper compares the different approaches for extraction of PV module parameters. The trust-region-doleg method is proposed here for extraction of five parameters such as series resistance (Rs), shunt resistance (Rp), diode ideality factor (a), dark saturation current (I0) and photo-generated current (Ipv) under standard test conditions (STC). The comparative analysis is made by taking Villalva´s iterative method and proposed trust-region-dogleg method. Two parameters Rs and Rp are extracted by Villalva´s iterative method whereas all five unknown parameters can be extracted by proposed trust-region-dogleg method. The accuracy of parameters calculation depends on tolerance band and initial conditions are tabulated. The PV module behavior at different temperature and irradiance is also forecasted.
  • Keywords
    iterative methods; maximum power point trackers; photovoltaic power systems; Villalva iterative; dark saturation current; diode ideality factor; maximum power point trackers; parameter extraction methods; photogenerated current; series resistance; shunt resistance; single diode photovoltaic module; trust-region-dogleg method; Arrays; Integrated circuit modeling; Iterative methods; Mathematical model; Photovoltaic systems; Temperature; maximum power point (MPP); parameter extraction; single diode five parameter PV module; standard test condition (STC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power, Energy and Control (ICPEC), 2013 International Conference on
  • Conference_Location
    Sri Rangalatchum Dindigul
  • Print_ISBN
    978-1-4673-6027-2
  • Type

    conf

  • DOI
    10.1109/ICPEC.2013.6527619
  • Filename
    6527619