Modeling, Development and Analysis Performance of an Intelligent Control of Photovoltaic System by Fuzzy Logic approach for Maximum Power Point Tracking

Ahmed Amine Barakate(1), Rida Abdelmoumene(2), Azeddine WAHBI(3*), Mohamed Maddi(4), Laamari Hlou(5), Abdelkader Hadjoudja(6)
(1) ahmed amine faculty of sciences, university ibn tofail, Kenitra morocco
(2) Rida Abdelmoumene faculty of sciences, university ibn tofail, Kenitra morocco
(3) Professor Azeddine WAHBI Industrial Engineering, data processing and logistic Laboratory, Faculty of sciences Aïn Chock Hassan II University, Casablanca, Morocco. E-mail : wahbi_azeddine@yahoo.fr Gsm : +212602574748
(4) Maddi mohamed faculty of sciences, university ibn tofail, Kenitra morocco
(5) hlou laamari faculty of sciences, university ibn tofail, Kenitra morocco
(6) hadjouja abdelkader faculty of sciences, university ibn tofail, Kenitra morocco
(*) Corresponding Author
DOI : 10.54039/ijcnis.v13i1.4881

Abstract

In this paper, we present an intelligent algorithm based upon Fuzzy Logic method for optimizing and improving the control performance of a   photovoltaic system. The main objective of the proposed system is to pursuit the maximum power point (MPPT) under different conditions like the change of sunshine and temperature. The system consists of a photovoltaic solar module connected to a DC-DC step-up converter "Boost" and a battery - like a load . The converter parameters and the inference rule table are determined to ensure maximum output power. The effectiveness of the proposed system is validated through computer simulations using MATLAB / Simulink software and the obtained results shows that our proposed system has the best performance in term maximum power.

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International Journal of Communication Networks and Information Security (IJCNIS)               ISSN: 2073-607X (Online)