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Combination of an Improved P&O Technique with ANN for MPPT of a Solar PV System

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ICREGA’14 - Renewable Energy: Generation and Applications

Part of the book series: Springer Proceedings in Energy ((SPE))

Abstract

In this paper a new approach to determine the maximum power point (MPP) of a solar PV system is proposed. It is based on the Artificial Neural Network (ANN) technique combined with an improved perturb and observe (P&O) method. The developed ANN delivers the optimal voltage in order to adjust the DC–DC converter duty cycle used by the P&O algorithm. The simulation results using MATLAB_SIMULINK showed that the new approach gives a power efficiency of the PV system more than 97 % in both stable and rapidly changing conditions. The improved P&O-ANN MPPT method has also been compared with the conventional P&O technique. In stable weather conditions the efficiency is slightly better. But under rapidly changing conditions the new method leads to a better PV system average power efficiency by an amount of 3 %. The oscillations around the MPP and the time response are also reduced.

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Author information

Authors and Affiliations

  1. University M’hamed Bougara, Avenue de l’indépendance, 35000, Boumerdes, Algeria

    M. Kesraoui, A. Benine & N. Boudhina

Authors
  1. M. Kesraoui
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  2. A. Benine
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  3. N. Boudhina
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Corresponding author

Correspondence to M. Kesraoui .

Editor information

Editors and Affiliations

  1. Faculty of Engineering Dept. Mechanical Engineering, United Arab Emirates University, Al-Ain, Utd.Arab.Emir.

    Mohammad O. Hamdan

  2. Faculty of Engineering Dept. of Electrical Engineering, United Arab Emirates University, Al-Ain, Utd.Arab.Emir.

    Hassan A.N. Hejase

  3. Faculty of Engineering Dept. of Electrical Engineering, United Arab Emirates University, Al-Ain, Utd.Arab.Emir.

    Hassan M. Noura

  4. Faculty of Engineering Dept. of Electrical Engineering, United Arab Emirates University, Al-Ain, Utd.Arab.Emir.

    Abbas A. Fardoun

Appendix

Appendix

PV panel: KC200GT, Pmax = 200 W, Vmax = 26.3 V, Imax = 7.61 A, Voc = 32.9 V, Isc = 8.21 A.

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Kesraoui, M., Benine, A., Boudhina, N. (2014). Combination of an Improved P&O Technique with ANN for MPPT of a Solar PV System. In: Hamdan, M., Hejase, H., Noura, H., Fardoun, A. (eds) ICREGA’14 - Renewable Energy: Generation and Applications. Springer Proceedings in Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-05708-8_45

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  • DOI: https://doi.org/10.1007/978-3-319-05708-8_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05707-1

  • Online ISBN: 978-3-319-05708-8

  • eBook Packages: EnergyEnergy (R0)

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