Comparative Study of MPPT Techniques For Solar Photovoltaic System

Randriamanantenasoa Njeva, Chrysostome Andrianantenaina, Jean Claude Rakotoarisoa and Jean Nirinarison Razafinjaka
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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

International Journal of Research and Innovation in Applied Science, 2020, vol. 5, issue 8, 149-154

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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:bjf:journl:v:5:y:2020:i:8:p:149-154

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