Publications Internationales

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

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Author: search.filters.author.Kesraoui, MohamedHas files: Yes

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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.
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    Signal-Based sensor fault detection and isolation for PMSG in wind energy conversion systems
    (IEEE, 2017) Beddek, Karim; Merabet, Adel; Kesraoui, Mohamed; Tanvir, Aman A.; Beguenane, Rachid
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    Intelligent detection without modeling of behavior unusual by fuzzy logic
    (Springer, 2017) Chebi, Hocine; Acheli, Dalila; Kesraoui, Mohamed
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    Control of a Solar PV/wind Hybrid Energy System
    (Elsevier, 2016) Chaib, Ahmed; Achour, Djalloul; Kesraoui, Mohamed
    A serious disadvantage of coupling a solar PV and wind energies of a hybrid system into the main DC bus is the compatibility of the voltage. In fact the PV system response is faster than the wind system one. This can affect negatively on the whole hybrid system response especially in case of variable loads switching. In this paper a hybrid energy system consisting of two sources: wind turbine generator and photovoltaic solar, without energy storage is modeled and simulated using MATLAB/SIMULINK. Management of the obtained power is achieved through two adaptor switches in the DC output of both sources. Each subsystem switch is controlled in order to supply either a dump load or the consumers’ loads via an inverter. The objective is to obtain an acceptable (compromise) system response and to make it more compatible. A control strategy of those two switches is proposed to adapt the inputs of the sources to the output of the DC bus. Satisfying results have been obtained in terms of voltage response stability, precision and global compatibility achievement
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    Using a DFIG-based wind farm for grid node reactive power compensation
    (Inderscience Enterprises Ltd, 2013) Kesraoui, Mohamed; Chaib, Ahmed; Madri, Abdullah; Hammani, Bilal
    Grid nodes voltages are not allowed to deviate excessively from nominal value. Appropriate measures should be taken to prevent such a deviation. The voltage difference between two nodes is strongly affected by reactive power flow. In contrast to frequency control, node voltage control must be achieved locally. This article investigates the use of a wind farm based on a doubly fed induction generators (DFIG) for reactive power compensation of a grid node. A wind speed variation sample is applied to the model of a wind power unit. The power flow between the stator of the DFIG-based wind power unit and the grid is controlled by using the decoupled active and reactive power vector control method. The limits or capacity of the stator and power converters to consume or provide reactive power are discussed. SIMULINK software has been used for the simulation of the system
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    Orientation system of solar panels based on a robot manipulator
    (2011) Chaib, Ahmed; Acheli, Dalila; Kesraoui, Mohamed
    Solar energy is one of the most interesting renewable energies, as it is an inexhaustible natural accumulation. The electrical energy generated depends on the performance of photovoltaic panels that is based on the direction of sunlight. The position of the sun changes during the day, even during the year, which imposes a system of automatic orientation of solar panels for this purpose, several devices have been proposed and marketed. In our article, we focus on the adaptation of a robot manipulator for orientation and positioning of solar panels, applying for the control system, the model of the robot controller. First, we present the robotic system, which is a well-mastered, and his order was the subject of several studies and applications, and the model of the robot used for controlling the system. Finally, we give the simulation results in two modes: Mode fixed facing south with an inclination of 45° and the robot tracking mode following the elevation and azimuth movements with two decoupled movement. The results found show a gain in terms of solar energy collected measured about 51%