Browsing by Author "Bechouat, Mohcene"

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    Improved Perturb & Observe Method by Particle Swarm Optimization Algorithm for Photovoltaic System
    (University of Eloued جامعة الوادي, 2018-12-10) Bechouat, Mohcene; Feraga, Chams-Eddine; Attia, Mohammed El hadi; Sedraoui, Moussa
    The Perturb and Observe (P&O) maximum power point tracking (MPPT) algorithm can be not robust where the rapid change in atmospheric conditions, especially it happened in irradiance, caused by the heuristic choice for the duty cycle perturbation and the duty cycle initialization. In this paper, it is shown how to integrate optimization method called Particle Swarm optimization (PSO) in P&O to choice the duty cycle perturbation and the first initialization condition based in maximizing power output. Using a DC-DC converter “Boost” associated with the photovoltaic panel; so working to get the maximum power that is mean, earn a good yield. The results of the simulation performed under the tool Simulink/Matlab shows the effectiveness of the integration PSO optimization method in P&O.
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    Proposed Algorithm MPPT for Photovoltaic System
    (جامعة الوادي - university of el oued, 2018-06-26) Bechouat, Mohcene; Sedraoui, ,Moussa; Kahla, Sami
    A proposed algorithm MPPT (Maximum Power Point Tracking) is proposed in this paper. When the insolation change rapidly, the P&O (Perturb and Observe) algorithm is used to adjust the operating point of the PV (Photovoltaic) array close to the MPP (Maximum Power Point) for fast tracking; also, the INC (Incremental Conductance) algorithm and the fuzzy controller skip drawbacks of the P&O algorithm by decreasing oscillations around the MPP and the underestimated. In addition, to improve the control precision, the effectiveness of proposed algorithm is validated by simulation using Matlab/Simulink, the simulation results show that the proposed algorithm tracks the MPP quickly, reduces the oscillation around the MPP effectively and improves the energy conversion efficiency of the PV panel.