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Systematic derivation of parameters of one exponential model for photovoltaic modules using numerical information of data sheet

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  • Deihimi, M.H.
  • Naghizadeh, R.A.
  • Meyabadi, A. Fattahi

Abstract

Modeling of photovoltaic (PV) modules is an important issue studied in the literature. The appropriate equivalent circuit is widely used to model the PV module in order to evaluate its performance as well as estimate its behavior with other parts of a system in interconnected employment. Estimation of the parameters of equivalent circuit poses challenges which has been addressed in the literature. Determining the parameters of a PV model is generally based on experimental results but the approach which only uses the available information provided by the manufacturer is practically preferred. Since data sheets provide limited information, accurate and explicit determination of parameters would be a favorite procedure. Sometimes, specific tests are performed to obtain more data to overcome this problem which of course has its own limitations. In this paper, a set of equations required for derivation of five parameters of one exponential PV model is extracted and a systematic approach for derivation of these parameters is developed based on basic data sheet numerical information. Performance of the proposed approach for different types of PV modules is evaluated through comparing the results with experimental measurement and results of the previous works.

Suggested Citation

  • Deihimi, M.H. & Naghizadeh, R.A. & Meyabadi, A. Fattahi, 2016. "Systematic derivation of parameters of one exponential model for photovoltaic modules using numerical information of data sheet," Renewable Energy, Elsevier, vol. 87(P1), pages 676-685.
    • Handle: RePEc:eee:renene:v:87:y:2016:i:p1:p:676-685
    DOI: 10.1016/j.renene.2015.10.066
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    Cited by:

    1. Pindado, Santiago & Cubas, Javier, 2017. "Simple mathematical approach to solar cell/panel behavior based on datasheet information," Renewable Energy, Elsevier, vol. 103(C), pages 729-738.
    2. Santiago Pindado & Javier Cubas & Elena Roibás-Millán & Francisco Bugallo-Siegel & Félix Sorribes-Palmer, 2018. "Assessment of Explicit Models for Different Photovoltaic Technologies," Energies, MDPI, vol. 11(6), pages 1-22, May.
    3. Abbassi, Abdelkader & Abbassi, Rabeh & Heidari, Ali Asghar & Oliva, Diego & Chen, Huiling & Habib, Arslan & Jemli, Mohamed & Wang, Mingjing, 2020. "Parameters identification of photovoltaic cell models using enhanced exploratory salp chains-based approach," Energy, Elsevier, vol. 198(C).
    4. Abbassi, Rabeh & Abbassi, Abdelkader & Jemli, Mohamed & Chebbi, Souad, 2018. "Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 453-474.
    5. Senturk, A. & Eke, R., 2017. "A new method to simulate photovoltaic performance of crystalline silicon photovoltaic modules based on datasheet values," Renewable Energy, Elsevier, vol. 103(C), pages 58-69.
    6. Gulin, Marko & Pavlović, Tomislav & Vašak, Mario, 2016. "Photovoltaic panel and array static models for power production prediction: Integration of manufacturers’ and on-line data," Renewable Energy, Elsevier, vol. 97(C), pages 399-413.

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