Publications Scientifiques

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    Efficiency comparison of silicon and silicon carbide MOSFETs in a PV system application
    (IEEE, 2023) Bouchetob, Elaid; Nadji, Bouchra; Mahdi, Ismahan
    This research includes a comparative assessment of the efficiency of DC-DC converters in a PV system that are based on silicon and silicon carbide Mosfets. The inquiry compares the two types of MOSFETs. The maximum power point tracking (MPPT) method is used to control the DC-DC converter, which receives electricity from a solar array with a 1 kW capacity. Along with being employed for the MPPT genetic algorithms, Matlab Simulink was used throughout the entire development of the solar array. After completing this stage, the next step involves using Ansys Simplorer to do a simulation of the MOSFETs. The last phase, which consisted of creating a Co-Simulation between Matlab/Simulink and Ansys Simplorer, has now been completed. In order to improve the efficiency of the system as a whole, we are able to switch out the Si Mosfets that are now being used in the PV application for SiC Mosfets. This is feasible because of the superior performance of SiC MOSFETs in terms of both response speed and the amount of energy lost in the process
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    Choosing the adapted artificial intelligence method (ANN and ANFIS) based MPPT controller for thin layer PV array
    (Springer, 2023) Bouchetob, Elaid; Nadji, Bouchra
    Because of the many advantages that artificial intelligence technologies provide in comparison to more conventional methods, a rising number of solar power plants are beginning to use them in their monitoring of the MPP. When there is a sudden change in solar temperature and irradiance, it is possible that the MPP will not be tracked as accurately. As a consequence of this, these methods could make up for the deficiencies of those that are more well-established (P&O, IC, etc.). Aside from that, there is a wide range of methods to AI, each of which has a particular advantage. By making some minor adjustments to the architecture, an artificial neural network (ANN) and an adaptive neuro-fuzzy inference system (ANFIS) were used to monitor the MPP of Thin Layer panel technology at the Oued Nechou installation in Ghardaia. Each connection channel now has six panels rather than the previous maximum of 12 panels, and the junction box has 210 channels rather than the prior maximum of 105 channels. In the last step, a DC-DC boost converter is used to increase the power output voltages produced by the module
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    Design and implementation of three-level inverter for grid-tied PV systems
    (IEEE, 2017) Ayachi Amor, Nourdine; Ayachi Amor, Nourdine; Kheldoun, Aissa; Metidji, Brahim
    High quality voltage and current are required when PV generator is connected to grid utility. To this, multilevel inverters are very desirable to be used as connection interface. To keep the cost of the whole system as low as possible, a cost-effective control device using STM32F4 discovery board is employed to control three-level inverter that can be used in grid-tied PV system. The paper develops and implements the control strategy of simplified space vector pulse width modulation (SVPWM) algorithm using Matlab/Simulink software. Obtained experimental results depict the powerfulness of used card as well as the high quality of the delivered power
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    A novel global MPPT technique based on squirrel search algorithm for PV module under partial shading conditions
    (Elsevier, 2021) Fares, Dalila; Fathi, Mohamed; Shams, Immad; Mekhilef, Saad
    The partial shading condition (PSC) makes it challenging for the PV system to harvest maximum power via maximum power point tracking (MPPT). Various MPPT algorithms based on bio-inspired optimization methods were proposed in the literature. The mechanism employed by these algorithms varies from one to another, making them perform differently when tracking the GMPP. This paper introduces a novel MPPT technique based on the improved squirrel search algorithm (ISSA). The performance of the proposed ISSA improved the tracking time by 50% in comparison with the conventional SSA algorithm. Similarly, the proposed method has also been compared with popular Genetic algorithm (GA), and particle swarm optimization (PSO). The results proved the ability of the proposed algorithm in tracking the GMPP with faster convergence and fewer power oscillations in comparison. The feasibility and effectiveness of the proposed ISSA based MPPT have been validated experimentally, and the results clearly demonstrate its capability in tracking the GMPP with an average efficiency of 99.48% and average tracking time of 0.66 s.
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    Grid Connected Solar PV System: Modeling, Simulation and Experimental Tests
    (Elsevier, 2016) Kesraoui, Mohamed; Lazizi, Aldjia; Chaib, Ahmed
    In this paper a solar PV system is modeled, simulated and experimentally tested. Mathematical and electrical models have first been presented. A theoretical background which introduces the topic has been presented. The system's different components have also been described. Then a simulation work of the current voltage (I-V) characteristics and efficiency by using MATLAB/IMULINK has been performed. Finally a PV system installed in the Institute of energy systems and electrical drives at the Technical University of Vienna has been tested. Many disturbances and cases like blackout, load disconnection and islanded system have been investigated. In this mainly experimental work, three test situations have been performed and the corresponding measurements have been recorded. Results that have been obtained showed that the grid connected PV system responds adequately to all the applied disturbances