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MPPT Design Using PSO Technique for Photovoltaic System Control Comparing to Fuzzy Logic and P&O Controllers
Research Unit of Photovoltaic, Wind and Geothermal Systems, National Engineering School of Gabes (ENIG), University of Gabes, Rue Omar Ibn-Elkhattab, Zrig, Gabes, Tunisia
Research Unit of Photovoltaic, Wind and Geothermal Systems, National Engineering School of Gabes (ENIG), University of Gabes, Rue Omar Ibn-Elkhattab, Zrig, Gabes, Tunisia
Hatem 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
- 1 Research Unit of Photovoltaic, Wind and Geothermal Systems, National Engineering School of Gabes (ENIG), University of Gabes, Rue Omar Ibn-Elkhattab, Zrig, Gabes, Tunisia
- 2 Research Unit of Photovoltaic, Wind and Geothermal Systems, National Engineering School of Gabes (ENIG), University of Gabes, Rue Omar Ibn-Elkhattab, Zrig, Gabes, Tunisia
- 3 Hatem 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
Energy and Power Engineering·Volume 08 (2016)·Pages 349–366·Published 23 November 2016·DOI10.4236/epe.2016.811031
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Abstract
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.
KeywordsPhotovoltaic SystemMPPT ControllerBuck ConverterPerturb and Observe “P&O”Fuzzy Logic “Fuzzy TS”Particle Swarm Optimization “PSO”
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