Browsing by Author "DJELLAD Abdelhak (Co-Auteur)"

Now showing 1 - 4 of 4
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    Energy Management Strategies of PV-Battery/Supercapacitor System for Electric Vehicles
    (Journal Européen des Systèmes Automatisés, 2024) DJELLAD Abdelhak (Co-Auteur); CHIHEB Sofiane (Co-Auteur)
    The development of EVs (Electric Vehicles) as a zero-carbon alternative to fossil fuel powered transport represents the importance of development in HESS (Hybrid Energy Storage System) and EMS (Energy Management Strategies). The present study focuses on a HESS model based on a parallel full-active configuration that integrates a (Li-ion) battery with a supercapacitor connected by two DC-DC bi-directional converters, are suitable options to power supply an electric vehicle. The EMS governing the HESS emerges as a critical element in the overall performance of EVs. The fuzzy logic control strategies have been widely used in high-level supervision and control; MPPT fuzzy logic is used for controller PV system. A complete study of the HESS; PV system, battery/supercapacitor is tested using MATLAB/Simulink. The simulation results show the performance and efficiency of the battery/supercapacitor for the EVs. Hence, the benefits of battery/supercapacitor use in a hybrid storage system are investigated and analyzed
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    Optimization of Fractional Order PI Controller by PSO Algorithm Applied to a Grid Connected Photovoltaic System
    (Journal Européen des Systèmes Automatisés, 2022) DJELLAD Abdelhak (Co-Auteur); CHIHEB Sofiane (Co-Auteur)
    With the increasing integration of renewable energies into power grids, their control and power quality are becoming the main focus of many research efforts. In a grid-connected photovoltaic system, the control strategy is necessary to efficiently use the solar energy as well as to ensure high power quality. This paper presents a study on the robustness of a Fractional Order PI controller based on the Particle Swarm Optimization algorithm (PSOFOPI) in a grid-connected PV system. The controller used was integrated into the inverter to apply voltage-oriented control (VOC). Fractional order controllers have an additional degree of freedom, so that a wider range of parameters is available to provide better control. Parameter optimization of the FOPI and classical PI controllers are performed using the PSO algorithm. The performance of the FOPI controller is compared with that of the classical PI controller. A complete study of the behavior of the grid connected PV system is tested using MATLAB/Simulink. The simulation results show the performance and efficiency of the PSO-FOPI controller compared to the classical PI controller in terms of rapidity, stability and precision, as well as the THD reduction of the current injected to the grid for any variation of solar irradiance
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    Performance Analysis of the Multi-Level Boost Converter (MLBC) connected in a Photovoltaic System
    (Journal of Renewable Energies, 2021) DJELLAD Abdelhak (Co-Auteur)
    The paper concentrates on a comparison between two DC/DC converters topologies, the conventional Boost and the Multi Level Boost Converter (MLBC), for connecting into PV systems. Several performance criteria are included as part of this comparison process for both converters under varying climatic conditions (irradiation and/or temperature). The DC/DC converters' function is to serve as an interface between PV generator and load. We apply MPPT (Maximum Power Point Tracking) control with α duty cycle adjustment using PWM technique for extracting the highest achievable output power from PV generator. The multilevel boost converter (MLBC), which is capable of monitoring and maintaining an equal voltage on all N output levels, along with controlling the input current. MATLAB/Simulink simulation results highlight the performance of the Multi-Level Boost Converter (MLBC) converter topology, to match the GPV voltage to the load
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    Performance Comparison of PI, Fuzzy Logic, and Sliding Mode Controls for Wind Turbine Power Management
    (Journal Européen des Systèmes Automatisés, 2024) DJELLAD Abdelhak (Co-Auteur)
    This research addresses the critical role of control systems in wind turbine power management, focusing on three control methodologies: Proportional-Integral (PI), fuzzy logic, and sliding mode. These methods are applied to a dual-fed asynchronous generator (DFIG) in a horizontal-axis wind turbine with three blades. The study emphasizes the optimization and reliability of these control systems in enhancing the turbine's overall capacity and ensuring consistent energy output. A key finding is the effectiveness of the sliding mode control in reducing the static error and response time compared to PI and fuzzy logic controls, demonstrating its potential for improving wind turbine efficiency. This comparative analysis contributes to a deeper understanding of the most effective control mechanisms for wind turbines, offering valuable insights for future turbine design and implementation. The results of this study not only enrich the academic discussion but also have significant implications for the renewable energy industry