Modeling and Control of Autonomous Photovoltaic System: Comparative Study the Fuzzy Logic and P&O Associated to PI Controller Algorithms Using SEPIC Converter for Maximum Power Point Tracking

Modeling and Control of Autonomous Photovoltaic System: Comparative Study the Fuzzy Logic and P&O Associated to PI Controller Algorithms Using SEPIC Converter for Maximum Power Point Tracking

In recent years, the rising demand for energy and emissions generated by the use of fossil fuels have led the general public to use renewable energy sources. There are excellent conditions for Morocco to benefit from renewable energy. Throughout the territory, the strength of insolation enables it to make these energy reserves a key factor in its socio-economic growth. Moreover, the rising energy needs of Morocco are mainly covered by imported coal and petroleum. This energy dependency would be minimised by the incorporation of renewable energies into electricity production, promising sustainable growth. It is becoming increasingly necessary to diversify and rationalise the means of electrical power production. However, as a function of light intensity and temperature, the output of this energy is non-linear and varies. Therefore, the photovoltaic PV panel’s operating point does not always correspond with the maximum power point. A process is then used to scan for and monitor the maximum power (MPPT) in order to permanently produce the maximum power. This work deals with the intelligent control of an autonomous photovoltaic system (photovoltaic panel associated with the Single Ended Primary Inductor Converter ‘SEPIC’) using the fuzzy logic algorithm and PandO associated with the PI controller. The purpose of this research is to perform a comparative study between these two algorithms (fuzzy logic and P&O associated with the PI controller) and to demonstrate the effect of the proposed Intelligent MPPT Control in terms of response time, wave ripple and efficiency on the autonomous photovoltaic system.

Author (s) Details

Essaid Ait El Maati
Laboratory of Radiation – Matter & Instrumentation, University Hassan First, Faculty of Science and Technology, B.P.: 577, 26000 Settat, Morocco.

Abdelhadi Radouane
Laboratory of Radiation – Matter & Instrumentation, University Hassan First, Faculty of Science and Technology, B.P.: 577, 26000 Settat, Morocco.

Azeddine Mouhsen
Laboratory of Radiation – Matter & Instrumentation, University Hassan First, Faculty of Science and Technology, B.P.: 577, 26000 Settat, Morocco.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/370

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