Arfaoui Jouda ¹, Feki Elyes ¹, Rabhi Abdelhamid ², Mami Abdelkader ¹

Affiliations
1 University of Tunis EL Manar, Faculty of Sciences of Tunis, UR17ES1, LR-11-ES20, Analysis, Conception and Control Systems Laboratory-ENIT, BP 37, 1002 Tunis, TN
2 University of Picardie Jules Verne (UPJV), 33 rue Saint Leu, 80039 Amiens Cedex 1, FR

Abstract

Objectives: The objective of this study deals with the optimization of extracting the ultimate power from a PV panel by means of the fuzzy-MPPT algorithm. Methods/Statistical Analysis: The methodological framework, in this paper, is based on a fuzzy logic controller which tracks the maximum power from a boost-based PV system. This approach is used to enhance its dynamic response under varying irradiations and temperature conditions. Numerical simulations and practical experiments results are carried out to highlight the tracking control performance and the advantages of the fuzzy- MPPT compared to a P&O as one of the most widely conventional methods. The fuzzy logic strategy provides better and reliable control for this application under different variations on climatic conditions. Findings: The findings achieved are experimental tests showed that for the same weather conditions; the produced PV power by the P&O-MPPT algorithm is 14% less than the power produced when the fuzzy algorithm is used.

Keywords

DC-DC Boost Converter, dSPACE1104, Fuzzy Logic Controller (FLC), Maximum Power Point Tracking (MPPT), MATLAB/Simulink, Photovoltaic (PV)

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Hamdouni Belgacem ¹, Riahi Jamel ¹, Dhafer Mezghanni ¹, Mami Abdelkader ¹

Affiliations
1 Laboratory for the Application of Energy Efficiency and Renewable Energies, FST, Tunis, TN

Abstract

Objectives: To model and simulate the pumping system by using as a source the PV and by the vectorial and scalar commands. Methods: The photovoltaic system modelling is complex; so we propose the use of bond graph (BG) methodology which permits the decomposition of the system into subsystems exchanging energy, and to represent several physic domains (electricity, mechanical, etc.) with an joined way. Findings: We represent a method based on the input-output causal inversion of the bond graph of the system which consists in deducing the laws from input-output control directly on bond graph. A new technique that consists on using a PWM bloc with three phases inverters is employed in order to optimize this bloc and to have better results. Applications: The modeling of photovoltaic system elements is an important step that should be preceded all application of sizing, identification or simulation.

Keywords

Bond Graph Modeling, Induction Motor, MPPT, Photovoltaic, PWM, Scalar and Vector Control.

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