Power
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Item Solar PV-battery based hybrid water pumping system using PMSM motor drive(University M’Hamed Bougara Boumerdes : Institute of Electrical of Electronic Engineering (IGEE), 2024) Trachi, Mohamed; Ekady, Hamdi; Ammar, AbdelkarimThis thesis presents the design and implementation of a Solar PV-Battery based Hybrid Water Pumping System utilizing a Permanent Magnet Synchronous Motor (PMSM) drive. The primary objective is to develop a sustainable and efficien twate rpumpin gsolutio ntha tleverages renewable energy sources. The system integrates a solar photovoltaic (PV) array and a battery storage unit to ensure continuous and reliable operation even under fluctuatin gsola rirradiance conditions. A modified Pertur band Observe (P&O) algorithm is employed for maximum power point tracking (MPPT) to optimize the power extraction from the PV array. The PMSM is controlled using the field-oriente dcontro l(FOC )technique, which provides superior torque and speed control capabilities. A Model Reference Adaptive System (MRAS) is utilized to accurately estimate the rotor speed and position to enable sensorless operation. The system is designed with a bi-directional power flo wan denerg ymanagemen tsystem, replacin gthe conventional grid connection with a battery-based approach to enhance the reliability and efficienc yo fth ewate rpumpin gprocess. The proposed hybrid system maximize s solar energy utilization and ensures stable operation during periods of low solar irradiance by efficiently managing the battery charge and discharge cycles. Comprehensive simulations demonstrate the proposed system’s effectiveness in achieving high performance, energy efficiency, and operational reliability, making it a viable solution for remote and off-grid areas.Item Comparative simulation study of CdS/CIGS and CdS/CZTS solar cells(University M’Hamed Bougara Boumerdes : Institute of Electrical of Electronic Engineering (IGEE), 2024) Saidi, Yasser Abderrahmane; Badaoui, Abdelkarim; Chala, SlimaneThis work represents a comparative study using Silvaco-Atlas numerical simulation software to analyze the IV photovoltaic characteristics of two thin-film solar cells, ZnO/CdS/CIGS/MO and ZnO/CdS/CZTS/MO. The study aims to find the optimal thickness and doping concentrations for the CdS, CIGS, and CZTS layers to maximize the efficiency of CdS/CIGS and CdS/CZTS solar cells and compare their performance. The research is motivated by the need to explore and optimize solar energy solutions to better meet energy demands. By using Silvaco-Atlas simulations, the study determines the best parameters for these solar cell configurations. The optimal IV parameters for CdS/CIGS were found to have a higher short-circuit current density and overall efficiency, with specific thicknesses and doping concentrations for the CdS and CIGS layers. For CdS/CZTS, the best IVparameters showed a higher open-circuit voltage and fill factor, with certain thicknesses and doping concentrations for the CdS and CZTS layers. In comparison, CdS/CIGS solar cells exhibited higher short-circuit current density and efficiency, while CdS/CZTS solar cells demonstrated higher open-circuit voltage and fill factor. This indicates that while CdS/CIGS cells are more efficient overall, CdS/CZTS cells have potential advantages in specific performance metrics such as open-circuit voltage and fill factor.Item Optimal placement and sizing of distributed generators into electrical distribution system(University M’Hamed Bougara : Institute of Electrical and Electronic Engineering (IGEE), 2024) Tahtah, Brahim; Lachheb, Houssam; Kheldoune, AissaOptimal placement and sizing of distributed generators (DG) are crucial for enhancing distribution network performance. This thesis presents an optimization strategy for placement and sizing of distributed generators to minimize active power losses and annual operational costs using a variety of meta-heuristic techniques. The power flow analysis employs the Backward/Forwards weep method, and the optimization is implemented in Matlab. Techniques such as Particle Swarm Optimization (PSO), Hippopotamus Optimization (HO), Horned Lizard Optimizer (HLOA), and GOOSE Optimizer are tested and compared. Additionally, a modifie dversion of the GOOSE algorithm has been introduced and compared with previous works. The Optimization process includes renewable energy sources like photovoltaic and wind turbine systems. A case study based on a real Egyptian distribution network validates the methodology. The Introduced modified GOOSE algorithm has shown significant reductions in active power loss and operational costs ,improved voltage profiles, and enhanced system stability. DG integration also increases grid resilience and reduces dependency on fossil fuels, highlighting the potential of optimized DG deployment in modern power systems.Item Dual PLC-based HMI control and monitoring of siemens VFDs using profibus and profinet networks(University M’Hamed Bougara Boumerdes : Institute of Electrical of Electronic Engineering (IGEE), 2025) Siad, Rihab; Rebali, Lilya; Boushaki, RazikaThis project presents the design and implementation of an advanced industrial automation system for controlling Siemens MICROMASTER 420 Variable Frequency Drives (VFDs) using a programmable logic controller (PLC)-based architecture. The central control unit is a Siemens S7-1500 PLC programmed with TIA Portal V15.1, which manages communications with an S7-300 PLC via a PROFINET network, where the S7-1500 operates as the server and the S7-300 as the client. In parallel, the S7-300 PLC functions as a PROFIBUS master to control three VFDs, each of which governs an induction motor. The VFDs act as DP slaves, receiving commands and returning operational data such as faults, alarms, and load conditions. An integrated Human-Machine Interface (HMI) replaces the conventional Basic Operator Panel, enabling users to monitor and control system variables such as motor speed, direction, and operating status. The HMI also supports real-time diagnostics and control functionalities for improved system responsiveness and user accessibility. Data exchange between PLCs is achieved through the implementation of the PUT/GET communication blocks in STEP 7, while SFC 14 and SFC 15 functions facilitate PROFIBUS-based communication with the VFDs. The proposed system demonstrates a flexible and scalable solution for modern industrial motor control, combining high-performance communication protocols with intuitive user interaction.Item Application of advanced control in quadrotor UAVs(University M’hamed Bougara : Istitute of Electrical and Electronic engineering (IGEE), 2025) Laifaoui, Maria samah; Boushaki, Razikaits dynamic behavior.Four control approaches were implemented and evaluated to control the altitude, attitude, heading and posi-tion of the quadrotor. These include classical controllers such as PID and PD, a linear optimal controller (LQR), and two advanced nonlinear techniques Back- stepping and Sliding Mode Control (SMC).The controllers were implemented in MATLAB, and simulation experiments were carried out to assess their dynamic performance and stability. The results demonstrated that all four controllers yielded comparable performance in terms of rise time, settling time, and over-shoot, yet each presented distinct characteristics.PD Control is simple and effec-tive, providing a fast response, but exhibited overshoot and a small steady-state error. Backstepping Control maintained a fast response and good performance, though it also suffere dfro movershoo tan drequire dcarefu ltunin gdu et oits sensitivity to parameters.Sliding ModeItem Parameters estimation of lithium-ion battery model(University M'hamed Bougara : Institute of Electrical an Electronioc Engineering (IGEE), 2024) Boughiout, Islam Abdessamed; Boudjelthia, Houssameddine; Kheldoune, AissaA precise battery model is indispensable for efficient circuit design, particularly inenhancing battery runtime and safety in various electrical systems such as renewable energy and electric vehicles (EVs). This thesis introduces the Enhanced Self-Correcting (ESC) model, an equivalent circuit model (ECM) for Lithium-Ion Batteries (LIBs). The ESC model, featuring two RC branches and accounting for hysteresis effects, accurately represents battery behavior across diverse operating conditions. Advanced metaheuristic optimization techniques, including the African Vultures Optimization Algorithm (AVOA) and Walrus Optimization Algorithm (WaOA), are employed to identify model parameters effectively by minimizing the root mean square error (RMSE) between estimated and measured terminal voltages under varying temperature scenarios. This study thoroughly investigates the influence of temperature, state of charge (SOC), and current direction on battery characteristics. Extracted parameters include internal resistance (R0), polarization resistances (R1, R2), polarization capacitances (C1, C2), dynamic hysteresis magnitude (M), instantaneous hysteresis magnitude (M0), hysteresis rate (?), and OCV-SOC relationship coefficients.Comprehensive experimental validation demonstrates the ESC model’s effectiveness and optimization algorithms’ efficiency inachieving highly precise parameter identification. Further more, a comparative study is conducted between the utilized algorithms and the Plett optimization approach, evaluating their performance and accuracy in battery model parameter identification. The results indicate significan timprovements in modeling accuracy, performance prediction, and management of lithium-ion batteries, contributing to the development of robust and adaptive battery models that enhance safety, efficiency, and lifespan of lithium-ion battery systems.Item Modeling, simulation, and implementation of three-phase Z-source inverter(University M’Hamed Bougara : Institute of Electrical and Electronic Engineering (IGEE), 2025) Maadoune, Ahmed; Reguieg Yssaad, Tahar Benali; Sabeur, NassereddineThis report presents a comprehensive study on Z-Source Inverters (ZSIs), covering their modelling, simulation, and real-time implementation for induction motor drives. Five Pulse Width Modulation (PWM) control methods for three-phase ZSIs are comparatively analyzed using MATLAB/Simulink: Simple Boost Control (SBC), Maximum Boost Control (MBC), Maximum Constant Boost Control (MCBC), MCBC with Third Harmonic Injection (MCBC+THI), and Space Vector Modulation (SVM). The performance of each method is evaluated under LCL-filtere dresistive and open-loo pinduction motor loads, considering voltage gain, total harmonic distortion (THD), and dynamic response. Simulation results indicate that SBC is the simplest but offers the lowest voltage gain and highest THD. MBC provides the highest boost with increased ripple, while MCBC balances stable gain with moderate distortion. MCBC+THI effectively reduces harmonics, and SVM consistently delivers superior performance with high gain, low THD, and excellent dynamic response. Additionally, the practical implementation of a ZSI feeding a three-phase induction motor using the SBC strategy validates theoretical expectations, demonstrating effectiv eshoot-throug hinsertion, stable DC-link voltage eboosting, and reliable motor operation. The study also investigates ZSIs in PV-powered induction motor drive systems, showing that SVM and MCBC+THI maintain stable DC-link voltage and motor speed under varying solarir radiance. These finding soff ercomprehensi veguidance for selecting optimal ZSI control methods across diverse applications, from simulation to real time implementation.Item Design and implementation of adaptive directional over-current relay for smart micro grid(University M’Hamed Bougara : Institute of Electrical and Electronic Engineering (IGEE), 2025) Abdelouadoud Harbi, Mahdi; Djefal, Imad; Bentarzi, HamidIn modern power systems particularly in smart microgrids the integration of renewable energy sources and the variability of loads present signi?cant challenges to conventional protection schemes. This project proposes the design and implementation of an Adaptive Directional Overcurrent Relay (ADOR) tailored for smart microgrid applications. The proposed system dynamically adjusts protection settings in real time based on measurements of current, voltage, power ?ow direction and network conguration mode. Simulations of various fault and islanding scenarios were conducted using MATLAB/ Simulink to model the microgrid and assess system response under diverse operating conditions. A hardware prototype was developed on an Arduino Uno, with the adaptive logic simulated in Proteus, to validate the system's practical feasibility. Key relay parameters, including the Time Multiplier Setting (TMS) and pickup current, were updated adaptively in response to changes in load demand and generation proles as well as con guration mode.Item Power transformer performance monitoring system(University M’Hamed Bougara : Institute of Electrical and Electronic Engineering (IGEE), 2025) Charaoui, Mohamed Ouail; Nadjoui, Hafed Aymen; Bentarzi, HamidPower transformer are among the most critical and expensive assets in modern power systems. their unexpected failure can cause extended outages, financial losses, and safetyrisks. As power grids become more dynamic, traditional maintenane practices such as periodic inspections and off line diagnostics are no longer sufficient. This report presents the development of a smart, online transformer performance monitoring system designed to enable early fault detection and support condition-based strategies. The work begins with a review of transformer fundamentals and diagnostic techniques, providing the foundation for monitoring requirements. The core of the project focuses on transformer monitoring systems (TMS), discussing key parameters, architectures, and best practices, as guided by IEEE C57.143tm. Due to constraints in hardware and sensor availability, the implementation was conducted through simulation : a LabVIEW-based virtual environment was developed to monitor electrical, thermal, and chemical indicators in real time, while a MATLAB-integrated duval triangle module was used to simulate dissolved gas analysis. The results demonstrate the effectiveness of virtual platforms in replicating real-world transformer behaviour, making this prototype valuable for academic research and early system validation. Finally, the report advocates for the integration of commercial online monitoring systems offered by leading vendors to enhance transformer reliability, optimize asset management, and align with evolving smart grid practices.Item Design and processor-in-the-loop implementation of an improved DTC-SVM for an induction motor driven single-stage water pumping system.(2025) Cherifi, Hana Chaima; Chaib, Abdelbassat; Metidji, BrahimThis thesis presents a single-stage, standalone batteryless solar photovoltaic water pumping system. The system comprises a photovoltaic array, a power inverter, and a DTC-SVM controlled induction motor driving the water pump. The control methodology employs a Second-Order Generalized Integrator (SOGI) with Frequency Locked-loop (FLL) for flux estimation to address the limitations associated with pure integrator implementation. Optimal utilization of the PV system is assured with the help of variable step-size incremental conductance (VSS-INC) maximum power point tracking (MPPT) algorithm. The system configuration is designed and simulated using the MATLAB/Simulink platform, with design validation through Processor-in-the-Loop testing utilizing the STM32G474RE microcontroller. Simulation results indicate satisfactory controller performance under both steady state conditions and dynamic insolation changes.