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Comparative Study of MPPT Techniques For Solar Photovoltaic System

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  • Randriamanantenasoa Njeva

    (Higher Polytechnic School, University of Antsiranana /Madagascar)

  • Chrysostome Andrianantenaina

    (Higher Polytechnic School, University of Antsiranana /Madagascar)

  • Jean Claude Rakotoarisoa

    (Doctor, University of Antsiranana /Madagascar)

  • Jean Nirinarison Razafinjaka

    (Higher Polytechnic School, University of Antsiranana /Madagascar)

Abstract

Several MPPT algorithms are proposed for photovoltaic system. In this work, various algorithms have been presented such as P&O so-called conventional, MPPT based on fuzzy logic, and the method using the artificial neural network. The aim is to compare the results of the above mentioned methods after performing the simulation with the Simulink Matlab software. Simulation results show that the artificial neural network leads to good performances.

Suggested Citation

  • Randriamanantenasoa Njeva & Chrysostome Andrianantenaina & Jean Claude Rakotoarisoa & Jean Nirinarison Razafinjaka, 2020. "Comparative Study of MPPT Techniques For Solar Photovoltaic System," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 5(8), pages 149-154, August.
    • Handle: RePEc:bjf:journl:v:5:y:2020:i:8:p:149-154
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