Publications Scientifiques
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Item Stability analysis of the pitch angle control of large wind turbines using different controller strategies(SAGE, 2022) Bouregba, Hicham; Hachemi, M.; Hachemi, M.; Hamidat, A .Reducing the environmental impact necessitates a boost in renewable energy conversion systems. Wind energy is regarded as one of the most essential energy sources. For this purpose, the high wind variations in the energy conver- sion chain require robust and reliable control. This research aims to implement a regulation based on artificial intelli- gence toward a blade orientation mechanism to improve the stability of energy conversion. On the other hand, an energy maximization technique called Maximum Power Point Tracking (MPPT) is integrated into the control system. A developed program in MATLAB estimates the turbine performance with two different strategies, namely the MPPT tech- nique and the Pitch control mechanism. For the best control and more stability of energy conversion, three artificial intelligence controllers, which are Neuronal Network (PI-ANN), Fuzzy Logic (PI-FLC), and Neuro-Fuzzy (PI-NFLC), were employed. They are compared with the conventional controller (PI-C). This comparison is made to distinguish the most robust regulator against wind speed variations. The different performance indices showed that the controller PI- NFLC has an excellent response, with an Integral Time Absolute Error (ITAE) of 375.28, whereas the Integral Absolute Error (IAE) and Integral Time Square Error (ITSE) equal 13.87 and 406.59, respectively.Item Efficiency comparison of silicon and silicon carbide MOSFETs in a PV system application(IEEE, 2023) Bouchetob, Elaid; Nadji, Bouchra; Mahdi, IsmahanThis 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 processItem Choosing the adapted artificial intelligence method (ANN and ANFIS) based MPPT controller for thin layer PV array(Springer, 2023) Bouchetob, Elaid; Nadji, BouchraBecause 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 moduleItem Comprehensive modeling and simulation of grid-tied PV system(IEEE, 2017) Ayachi Amor, Nourdine; Ayachi Amor, Yacine; MetidjiIn this work, three-phase single stage grid-connected photovoltaic system using current control inverter is simulated using Matlab/Simulink. To deal with varying irradiance conditions, the incremental conductance MPPT has been used, however in order to improve the power quality a three-level (NPC) inverter based SVM control together with LCL filter has been used. The main result of the project is that power has been injected to the grid while the power factor is forced to be unity and the current's THD is kept below the level required by the international standardsItem A GSO-based maximum power point tracking algorithm for photovoltaic systems(IEEE, 2017) Kheldoun, Aissa; Djeriou, S.The paper presents a new MPPT method based on Golden-Section Optimization (GSO) technique for photovoltaic systems. The GSO-based MPPT converges to the MPP by interval shrinking. Initially, two points have been selected from the search space that is known, evaluated then a new point is accordingly generated. At given iteration the algorithm has a new narrowed interval bounded by the new point and one of the initial points according to the evaluation results. The algorithm stops iterating when the interval is small enough and the PV is forced to operate at the average value of the last found interval without perturbing either the voltage or the duty cycle. This makes the PV system converges rapidly to the MPP and without voltage or power oscillations around the maximum power point (MPP), thereby low energy waste. Results show that, the proposed MPPT algorithm uses a few arithmetic operations and tracks rapidly and accurately the MPP of PV systems under fast changing conditions and partial shadingItem Power control and Management of PV/Battery/Diesel/Water Pumping System(IEEE, 2017) Lazizi, A.; Kesraoui, M.; Achour, D.; Chaib, A.In this paper, a power management and control strategy is developed for a hybrid energy system that is composed of a photovoltaic generator, a battery bank and a diesel generator. It supplies a water pump system in a remote area. A power management method is designed to manage the power between the mentioned energy systems in order to obtain the desired water flow and to reduce the using of 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 boost converter is controlled by a PI controller to adapt the voltage of the battery bank to the DC bus. A PI controller is used also to regulate the water flow of the pump. The obtained simulation results show that the developed power management and control strategy has high performances. Dynamic modeling and simulation are accomplished using SIMPOWER in Matlab simulinkItem Fuzzy Logic Maximum Power Point Tracking Control for A Solar PV Module(2020) Lazizi, Aldjia; Kesraoui, Mohamed; Chaib, AhmedIn 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.Item Study of the reliability of static converter for photovoltaic application(Elsevier, 2015) Khelifi, F.; Nadji, B.; Chelali, Y.Item Three phase 5-level PWM inverter for grid connected photovoltaic system(2013) Khelfi, D.; Mazari, B.; Ferdi, B.