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    Investigation and simulation of a solar water pumping system with a speed-controlled DC motor
    (Institute of Electrical and Electronics Engineers Inc., 2024) Benabida, Farid; Aissa, Oualid; Talhaoui, Hicham; Babes, Badreddine; Çolak, İlhami
    An investigation on a photovoltaic (PV) water pumping system (PVWPS) based on a DC motor, under an imposed rotation speed and changeable weather conditions, has been done in this research work. Thus, to extract the maximum power point of the studied system, the Perturb and Observe (P&O) algorithm and Incremental Conductance (IC) strategy are applied. The investigation is conducted on a centrifugal pump driven by a DC motor with speed control by using the MATLAB/Simulink software. The simulation results from the designed PVWPS demonstrate that the IC strategy outperforms the P&O algorithm in convergence speed, while the P&O offers superior steady-state oscillation performance under high irradiation levels. © 2024 IEEE.
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    Study and simulation of an efficient smart MPPT algorithm based on fuzzy logic theory
    (Institute of electrical and electronics engineers inc., 2024) Rezaiguia, Nora; Aissa, Oualid; Talhaoui, Hicham; Kessal, Abdelhalim; Çolak, İlhami
    For solar systems, numerous maximum power point tracking (MPTT) techniques have been designed to maximize the energy produced. This research includes a study and simulation via the Matlab/Simulink software of the control of a solar DC/DC step-down converter with a battery-type load at its output. So, three MPPT approaches, Perturb and Observe (P&O), Incremental Conductance (INC), and Fuzzy Controller (FC), are described and compared in various weather circumstances. Finally, the solar system studied, based on the fuzzy MPPT technique, proved its operational superiority compared to the other two methods, P&O and INC.