Publications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13

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Author: search.filters.author.Lazizi, Aldjia

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    Energy Management and Control of a Hybrid Water Pumping System with Storage
    (Pléiades Publishing, 2017) Lazizi, Aldjia; Kesraoui, Mohamed; Achour, Djalloul; Chaib, Ahmed
    This paper aims to define a control and management strategy for water pumping system which would be powered by a hybrid PV/diesel generator system with battery storage. The particularity of the proposed power management method is to ensure the water volume in need and to maximize the use of PV generator while limiting the use of the diesel generator. In order to capture the maximum power from PV generator, a fuzzy logic maximum power point tracking controller is applied. On the other hand, a PI regulator is used with a boost converter in order to adapt the voltage of the battery bank to the DC bus. The water flow of the pump is also controlled. The developed power management and control strategy has been implemented using SIMPOWER toolbox in Matlab/Simulink. The obtained satisfying simulation results prove the efficiency of the proposed solution that assures continuous supply of water and electricity
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    Fuzzy logic MPPT control for a solar PV module applied to water pumping
    (Inder Science Publisher, 2016) Lazizi, Aldjia; Kesraoui, Mohamed; Chaib, Ahmed
    In this paper, the fuzzy logic control for maximum power point tracking (MPPT) of a solar photovoltaic (PV) module in water pumping application is presented. A PV system including a solar module, a DC/DC boost converter, a fuzzy MPP tracker and a resistive load is modelled and simulated for various atmospheric conditions. The P-V and I-V characteristics are first obtained for various values of solar irradiation and temperature. Also, the increased efficiency of the photovoltaic system using MPPT is computed and plotted. The fuzzy control method is compared with the perturb and observe (P&O) method in one hand and with an improved P&O technique using artificial neural network (ANN) in the other. The fuzzy MPP tracker is then applied to the water pumping system composed of a solar panel, DC/DC boost converter, DC/AC inverter, induction motor and centrifugal pump
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    Fuzzy Logic Maximum Power Point Tracking Control for A Solar PV Module
    (2020) Lazizi, Aldjia; Kesraoui, Mohamed; Chaib, Ahmed
    In this paper, the fuzzy logic control for Maximum Power Point Tracking (MPPT) of a solar photovoltaic is presented. A photovoltaic system including a solar module, a DC/DC boost converter, a fuzzy MPP Tracker and a resistive load is modeled and simulated for various atmospheric conditions. The P-V characteristics are first obtained for various values of solar irradiation and temperature. Then the increased efficiency of the photovoltaic system using MPPT is computed and plotted. The fuzzy control method is compared with the Perturb/observe (P&O) method in one hand and with an Improved P&O technique using Artificial Neural Network (ANN) in the other hand.