COMPARATIVE STUDY OF MPPT BASED ON ARTIFICIAL INTELLIGENCE
Rajonirina Solofanja Jeannie
, Razafimahenina Jean Marie
, Andrianaharison Yvon
and Randriamasinoro Njakarison Menja
- 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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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.
[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 (Nov). 625-639] (ISSN 2320-5407). www.journalijar.com
Higher Polytechnic School, University of Antsiranana
Madagascar
