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Transient analysis of a PV power generator charging a capacitor for measurement of the I–V characteristics

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  • Mahmoud, Marwan M.

Abstract

Measuring the I–V characteristics is of high importance since it can be considered as a quality and performance certificate for each PV generator. The most precise and inexpensive measuring method is represented in capacitor charging by the PV generator. Using the equivalent circuit of the PV generator with a capacitor as load and applying transient analysis on the circuit, we obtain the capacitor charging voltage and current as a function of time, as well as their differentials as a function of short circuit current and capacitor size. The derived equations facilitate the calculation of proper capacitance size for measuring the I–V characteristics, and considers the acquisition speed of the measuring system as demonstrated through two measurement samples in this paper. The capacitor size is directly and indirectly proportional to the short circuit current and open circuit voltage of the PV generator, respectively. Accordingly, the paper presents a capacitance calculation chart, which enables selecting the correct capacitance for measuring the I–V characteristics by a computerized data acquisition system.

Suggested Citation

  • Mahmoud, Marwan M., 2006. "Transient analysis of a PV power generator charging a capacitor for measurement of the I–V characteristics," Renewable Energy, Elsevier, vol. 31(13), pages 2198-2206.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:13:p:2198-2206
    DOI: 10.1016/j.renene.2005.09.019
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    Citations

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    Cited by:

    1. Parlak, Koray Sener, 2014. "FPGA based new MPPT (maximum power point tracking) method for PV (photovoltaic) array system operating partially shaded conditions," Energy, Elsevier, vol. 68(C), pages 399-410.
    2. Ahmad, Riaz & Murtaza, Ali F. & Sher, Hadeed Ahmed, 2019. "Power tracking techniques for efficient operation of photovoltaic array in solar applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 82-102.
    3. Balaska, Amira & Tahri, Ali & Tahri, Fatima & Stambouli, Amine Boudghene, 2017. "Performance assessment of five different photovoltaic module technologies under outdoor conditions in Algeria," Renewable Energy, Elsevier, vol. 107(C), pages 53-60.
    4. Tamer Khatib & Wilfried Elmenreich & Azah Mohamed, 2017. "Simplified I-V Characteristic Tester for Photovoltaic Modules Using a DC-DC Boost Converter," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    5. García-Gracia, M. & El Halabi, N. & Khodr, H.M. & Sanz, Jose Fco, 2010. "Improvement of large scale solar installation model for ground current analysis," Applied Energy, Elsevier, vol. 87(11), pages 3467-3474, November.
    6. Das, Soubhagya K. & Verma, Deepak & Nema, Savita & Nema, R.K., 2017. "Shading mitigation techniques: State-of-the-art in photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 369-390.
    7. Waleed Al Abri & Rashid Al Abri & Hassan Yousef & Amer Al-Hinai, 2021. "A Simple Method for Detecting Partial Shading in PV Systems," Energies, MDPI, vol. 14(16), pages 1-12, August.
    8. Mekhilef, S. & Saidur, R. & Kamalisarvestani, M., 2012. "Effect of dust, humidity and air velocity on efficiency of photovoltaic cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2920-2925.

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