• DocumentCode
    2727225
  • Title

    ANFIS-based parameter estimation of one-diode equivalent circuit model of PV modules

  • Author

    Kulaksiz, A.A.

  • Author_Institution
    Electr. & Electron. Eng. Dept., Selcuk Univ., Konya, Turkey
  • fYear
    2011
  • fDate
    21-22 Nov. 2011
  • Firstpage
    415
  • Lastpage
    420
  • Abstract
    Fast implementation and accurate operation of maximum power point tracking (MPPT) controllers can be realized by modeling the characteristics of PV modules obtaining equivalent parameters. In this study, ANFIS has been used to obtain three of the parameters in single-diode model of PV cells namely series resistance, shunt resistance and diode ideality factor. The input parameters of ANFIS are material type of PV modules, short circuit current, open circuit voltage, and unit area under I-V curve of PV module. The advantage of the proposed method is that the equivalent parameters can be obtained for a wide range of PV modules of different types (mono-crystalline, multi-crystalline and thin-film) using easily obtainable field test data. The simulation results suggest that, ANFIS model can be a useful tool for estimating equivalent parameters of PV modules.
  • Keywords
    control engineering computing; diodes; fuzzy neural nets; fuzzy reasoning; maximum power point trackers; photovoltaic power systems; power engineering computing; power system control; short-circuit currents; ANFIS based parameter estimation; I-V curve; PV cells; PV modules; diode ideality factor; maximum power point tracking controllers; one diode equivalent circuit model; open circuit voltage; series resistance; short circuit current; shunt resistance; Computational modeling; Equivalent circuits; Integrated circuit modeling; Mathematical model; Photovoltaic cells; Predictive models; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th International Symposium on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4577-0044-6
  • Type

    conf

  • DOI
    10.1109/CINTI.2011.6108541
  • Filename
    6108541