Vol. 9 (11) pp. 625-639 DOI: 10.21474/IJAR01/13784

COMPARATIVE STUDY OF MPPT BASED ON ARTIFICIAL INTELLIGENCE

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  • Information and Communications Sciences and Technology Department, Higher Polytechnic School, University of Antsiranana.
  • Information and Communications Sciences and Technology Department, Higher Polytechnic School, University of Antsiranana.
  • Electrical Engineering Departement Higher Polytechnic School, University of Antananarivo.
  • Information and Communications Sciences and Technology Department, Higher Polytechnic School, University of Antsiranana.
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Abstract

An MPPT or Maximum power point tracking  command, associated with an intermediate adaptation stage, allows a photovoltaic generator (GPV) to operate in such a way as to continuously produce the maximum of its power. We present in this paper a new intelligent approach of a MPPT based on the hybrid and adaptive neuro-fuzzy network of ANFIS model. The latter is applied to a SEPIC* converter in order to extract at any time the maximum power available at the generator terminals and transfer it into the load, regardless of the sunshine variation as well as the temperature. The proposed method for a fixed and simple structure implements a Takagi-sugeno fuzzy system. Its performance will be confirmed by the comparison with the fuzzy logic command which is already known with its speed.

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How to Cite This Article

Rajonirina Solofanja Jeannie, Razafimahenina Jean Marie, Andrianaharison Yvon and Randriamasinoro Njakarison Menja (2021); COMPARATIVE STUDY OF MPPT BASED ON ARTIFICIAL INTELLIGENCE, Int. J. of Adv. Res., 9 (11), 625-639, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/13784

Corresponding Author

RAJONIRINA
Higher Polytechnic School, University of Antsiranana
Madagascar
Creative Commons Attribution 4.0 This work is licensed under a Creative Commons Attribution 4.0 International License.