Djamila Rekioua
Université de Bejaia

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Optimization, design and control of a photovoltaic/wind turbine/battery system in Mediterranean climate conditions Nabil Mezzai; Saloua Belaid; Djamila Rekioua; Toufik Rekioua
Bulletin of Electrical Engineering and Informatics Vol 11, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i5.3872

Abstract

The goal of this study is to design and optimize a photovoltaic/wind turbine/batteries system. The application is made in the area of Bejaia (Algeria), a Mediterranean region where the solar and wind energy are extremely exploitable in this area due to its geographical location. The total incident energy approach was used to develop the device under consideration. To optimize power, the fuzzy logic control (FLC) is applied and to highlight the benefits of this maximum power point tracking (MPPT) strategy, it was compared to perturb and observe (P and O) method. A power management control has been applied. The findings from the three different days are displayed and analyzed to demonstrate the applicability of the suggested system. The examined system is assessed using the Homer software to demonstrate the best feasible integration of the several sources at the Bejaia location. There has been an increase in renewable power, which is one of the study's key novelty and objectives, so less stress on batteries in a PV/wind system. This is owing to the suggested accurate sizing procedure and to the FLC algorithm. The findings of the suggested study under various solar irradiation and wind speed velocity profiles are presented to demonstrate its applicability.
Power supervision of an autonomous photovoltaic/wind turbine/battery system with MPPT using adaptative fuzzy logic controller Djamila Rekioua; Samia Bensmail; Chafiaa Serir; Toufik Rekioua
International Journal of Applied Power Engineering (IJAPE) Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5651.251 KB) | DOI: 10.11591/ijape.v12.i1.pp90-101

Abstract

In this work a power supervision of an autonomous photovoltaic/wind turbine/batteries system is presented. Measurements of weather conditions during different has been made. Due to the instantaneous changing of solar irradiance, temperature and wind speeds, maximum power point tracking (MPPT) is integrated. Due to its ease of use, the perturb and observe (P&O) algorithm is the most preferred, but has a great disadvantage of oscillations at steady state. The adaptative fuzzy logic controller (AFLC) method is also widely used for its advantages of fast response with better performance than the classical FLC and P&O strategies. An accurate sizing methodology was applied in the proposed sizing approach to calculate the PV and wind turbine generators number. To manage the various powers, supervision method is simple, easy realization and not heavy computation. A simulation study under MATLAB/Simulink has been made. The different results are given and analyzed.