Browsing by Author "Chalah, Samira (supervisor)"

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Electromagnetic modeling of a two- winding transformer
(2019) Belgherras, Hadjer; Chalah, Samira (supervisor)
A Transformer is a static device which works on the principle of mutual induction. It transfers signals or power depending upon the type used. Today, electronic simulation is used to lower the number of prototypes needed to reach the final goal. In this project, equivalent circuits have been designed to model the electrical behavior of both “RS 217-725 Speaker Isolating/Matching Transformer” and “RS 228-567, 3.3mH Bobbin Inductor” including all steps performed to reach the final equivalent circuit. Magnetic and electrostatic properties are fully accounted for, and losses are also rather accurately represented. All the related values are electrically measurable using the impedance analyzer HP 4192A found in our institute without any dismounting of the component. To test the reliability of the final resulting equivalent circuits, it is convenient to compare the graphs deduced from the models with the experimental ones. Many electronic simulation softwares allow model-related curves to be drawn. To do so, we used MATLAB/SIMULINK software that helped us to draw the modulus and phase curves separately.
Frequency regulation in microgrids based on vehicle- to- grid technology
(Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE), 2023) Smida, Chahinez; Chalah, Samira (supervisor); Ladjel, L.
This project introduces Vehicle to Grid (V2G) a micro-grid (MG) system consisting of solar, wind and diesel power along with residential and industrial load. In this study, V2G effects on frequency observe and V2G acts as a frequency regulator in the MG. There are a total of 100 vehicles in the V2G system, of which there are five different types of car profiles. The relationship between the car and houses is 1:10. The full Phasor model is simulated and modelled in MATLAB/Simulink. The efficiency of V2G is there is tested by various input conditions. Simulation results that for a wide range of V2G inputs effectively regulated the network frequency.
Model predictive control for FSTP inverter-fed induction motor
(Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE), 2023) Hammadi, Ayat Errahmane; Chalah, Samira (supervisor)
The rapid growth of electric motor-driven systems has led to an increasing demand for high-performance control strategies that provide efficient and precise operation. Model Predictive Control (MPC) and Direct Torque Control (DTC) have gained significant attention due to their ability to provide fast and accurate control in various industrial applications. The primary objective of this work is to analyze and implement Model Predictive Torque Control (MPTC) for a three-phase induction machine powered by a Four- Switch Three-Phase (FSTP) inverter. The investigation begins with a review of the state-of-the-art on the FSTP inverter and predictive control, highlighting various applications of predictive control. Subsequently, Model Predictive Current Control (MPCC) and MPTC are employed to control an RL-load and an induction machine, respectively, both driven by the FSTP inverter. This work presents a comparative analysis between MPTC and Direct Torque Control (DTC) methods. Simulation of these techniques were then carried out using MATLAB/Simulink software and the obtained results analyzed and discussed to confirm the validity of the proposed techniques.