Author(s)

O. Ben Belghith¹, L. Sbita¹, F. Bettaher²

¹Research Unit of Photovoltaic, Wind and Geothermal Systems, National Engineering School of Gabes (ENIG), University of Gabes, Rue Omar Ibn-Elkhattab, Zrig, Gabes, Tunisia.
²Hatem Bettaher Research Unit of Computing, Networks, Communication Systems and Mathematics, IResCoMath, Higher Institute of In-formatics and Multimedia of Gabes (ISIMG), University of Gabes, Gabes, Tunisia.

The Maximum Power Point Tracker (MPPT) is the optimum operating point of a photovoltaic module. It plays a very important role to obtain the maximum power of a solar panel as it allows an optimal use of a photovoltaic system, regardless of irradiation and temperature variations. In this research, we present a novel technique to improve the control’s performances optimization of the system consisting of a photovoltaic panel, a buck converter and a load. Simulations of different parts of the system are developed under Matlab/Simulink, thus allowing a comparison between the performances of the three studied controllers: “Fuzzy TS”, “P&O” and “PSO”. The three algorithms of MPPT associated with these techniques are tested in different meteorological conditions. The obtained results, in different operating conditions, reveal a clear improvement of controlling performances of MPPT of a photovoltaic system when the PSO tracking technique is used.

Photovoltaic System, MPPT Controller, Buck Converter, Perturb and Observe “P&O”, Fuzzy Logic “Fuzzy TS”, Particle Swarm Optimization “PSO”

Belghith, O. , Sbita, L. and Bettaher, F. (2016) MPPT Design Using PSO Technique for Photovoltaic System Control Comparing to Fuzzy Logic and P&O Controllers. Energy and Power Engineering, 8, 349-366. doi: 10.4236/epe.2016.811031.