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On the comprehensive parametrization of the photovoltaic (pv) cells and modules

Hejri, M ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.1109/JPHOTOV.2016.2617038
  3. Publisher: IEEE Electron Devices Society , 2017
  4. Abstract:
  5. In the classical parametrization of the single-diode model of photovoltaic (PV) cells and modules based on the datasheet values, first, the values of the five unknown parameters of the PV model are extracted via the values of the open-circuit voltage Voc, the short-circuit current Isc, and the voltage and current at the maximum power point Vm, Im at standard test conditions (STC). Next, using some translational formulas, the STC values of the unknown parameters are projected to the new climatic conditions other than STC. A major problem of this approach is to determine the translational formulas of the five unknown parameters of the single-diode model as a function of both temperature and irradiation levels with a high degree of accuracy beforehand. This paper presents a new method to extract the parameters of the PV model that operates with a reverse identification process, as compared with the classical methods, in the sense that it starts with the translational formulas of the key parameters of Voc, Isc, Vm, and Im and yields the variation of the all PV model unknown parameters as a function of both temperature and irradiation levels. The satisfactory operation of the proposed parametrization technique is evaluated by simulations, experiments, and comparative studies with the classical methods. © 2016 IEEE
  6. Keywords:
  7. Parameters identification ; photovoltaic (PV) cell and module ; PV diagnosis ; Single-diode model ; Translational formula ; Variable temperature and irradiation levels ; Diodes ; Open circuit voltage ; Climatic conditions ; Comparative studies ; High degree of accuracy ; Identification process ; Irradiation levels ; Maximum power point ; Single-diode models ; Standard test condition (STC) ; Irradiation
  8. Source: IEEE Journal of Photovoltaics ; Volume 7, Issue 1 , 2017 , Pages 250-258 ; 21563381 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/7736046