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Proof of Concept of an Irradiance Estimation System for Reconfigurable Photovoltaic Arrays

Author

Listed:
  • Vincenzo Li Vigni

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy)

  • Damiano La Manna

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy)

  • Eleonora Riva Sanseverino

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy)

  • Vincenzo Di Dio

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy)

  • Pietro Romano

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy)

  • Pietro Di Buono

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy)

  • Maurizio Pinto

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy)

  • Rosario Miceli

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy)

  • Costantino Giaconia

    (Department of Energy, Information Engineering and Mathematical Models (DEIM), University of Palermo, Viale delle Scienze, Edificio 9, Palermo 90128, Italy)

Abstract

In order to reduce the mismatch effect caused by non-uniform shadows in PV arrays, reconfigurable interconnections approaches have been recently proposed in the literature. These systems usually require the knowledge of the solar radiation affecting every solar module. The aim of this work is to evaluate the effectiveness of three irradiance estimation approaches in order to define which can be well suited for reconfigurable PV arrays. It is presented a real-time solar irradiance estimation device (IrradEst), implementing the three different estimation methods. The proposed system is based on mathematical models of PV modules enabling to estimate irradiation values by sensing a combination of temperature, voltage and current of a PV module. Experimental results showed generally good agreement between the estimated irradiances and the measurements performed by a standard pyranometer taken as reference. Finally one of the three methods was selected as possible solution for a reconfigurable PV system.

Suggested Citation

  • Vincenzo Li Vigni & Damiano La Manna & Eleonora Riva Sanseverino & Vincenzo Di Dio & Pietro Romano & Pietro Di Buono & Maurizio Pinto & Rosario Miceli & Costantino Giaconia, 2015. "Proof of Concept of an Irradiance Estimation System for Reconfigurable Photovoltaic Arrays," Energies, MDPI, vol. 8(7), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:7:p:6641-6657:d:51868
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    References listed on IDEAS

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    Cited by:

    1. Daniel Gonzalez Montoya & Juan David Bastidas-Rodriguez & Luz Adriana Trejos-Grisales & Carlos Andres Ramos-Paja & Giovanni Petrone & Giovanni Spagnuolo, 2018. "A Procedure for Modeling Photovoltaic Arrays under Any Configuration and Shading Conditions," Energies, MDPI, vol. 11(4), pages 1-17, March.
    2. Byungki Kim & Hwa-Pyeong Park, 2023. "Non-Isolated Current-Fed Series Resonant Converter with Hybrid Control Algorithms for DC Microgrid," Energies, MDPI, vol. 16(16), pages 1-16, August.
    3. Yadav, Vinod Kumar & Yadav, Abhishek & Yadav, Ranjana & Mittal, Aaradhya & Wazir, Nadeem Hussain & Gupta, Shubham & Pachauri, Rupendra Kumar & Ghosh, Santosh, 2022. "A novel reconfiguration technique for improvement of PV reliability," Renewable Energy, Elsevier, vol. 182(C), pages 508-520.
    4. Ángel Gómez-Moreno & Pedro José Casanova-Peláez & José Manuel Palomar-Carnicero & Fernando Cruz-Peragón, 2016. "Modeling and Experimental Validation of a Low-Cost Radiation Sensor Based on the Photovoltaic Effect for Building Applications," Energies, MDPI, vol. 9(11), pages 1-16, November.
    5. Polo, J. & Fernandez-Neira, W.G. & Alonso-García, M.C., 2017. "On the use of reference modules as irradiance sensor for monitoring and modelling rooftop PV systems," Renewable Energy, Elsevier, vol. 106(C), pages 186-191.
    6. Arunesh Kumar Singh & Tabish Tariq & Mohammad F. Ahmer & Gulshan Sharma & Pitshou N. Bokoro & Thokozani Shongwe, 2022. "Intelligent Control of Irrigation Systems Using Fuzzy Logic Controller," Energies, MDPI, vol. 15(19), pages 1-19, September.

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