Rezaiguia, NoraAissa, OualidTalhaoui, HichamKessal, AbdelhalimÇolak, İlhami2025-04-182025-04-182024Rezaiguia, N., Aissa, O., Talhaoui, H., Kessal, A., & Colak, I. (2024, May). Study and Simulation of an Efficient Smart MPPT Algorithm Based on Fuzzy Logic Theory. In 2024 12th International Conference on Smart Grid (icSmartGrid) (pp. 95-100). IEEE.979-835036161-2http://dx.doi.org/10.1109/icSmartGrid61824.2024.10578133https://hdl.handle.net/20.500.12713/6738For 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.eninfo:eu-repo/semantics/closedAccessDC/DC Step-Down ConverterFuzzy Logic TheoryMatlab/SimulinkMPPTSolar SystemConference Object95100WOS:0012661303000112-s2.0-8519943985510.1109/icSmartGrid61824.2024.10578133