Power
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Item Maximum power point tracking for solar water pumping system under partial shading conditions(2024) Bouafia, Imad; Azioune, Ahmed; Ammar, Abdelkarim (supervisor)This report presents innovative approaches to maximize the power output of photovoltaic (PV) systems for water-pumping applications based on BLDC motor, specificall yaddress- ing challenges posed by partial shading, which occurs when certain parts of the PV array are shaded while others are exposed to sunlight. Traditional Maximum Power Point Tracking (MPPT) algorithms, such as the Perturb and Observe (P&O) method, have limitations when it comes to dealing with partial shading, as these algorithms struggle to accurately identify the global maximum power point (GMPP), which is important for achieving optimal power generation. To overcome these limitations, this work introduces advanced metaheuristic algorithms, including Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), and the Marine Predator Algorithm (MPA), to robustly track the GMPP, thus ensuring optimal performance despite variations in solar exposure. Furthermore, the efficienc yo feac halgorith mis compared using simulation models generated in MATLAB/Simulink, where the results demonstrate that these algorithms significantly improve power extraction under partial shading conditions.Item LoT-Based battery monitoring system for improving microgrid management(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Sendelzereg, Houssem; Harchaoui, Yahia; Bentarzi, Hamid (supervisor)The notable increase in renewable energy sources has initiated a shift in power generation grids and spurred the development of new grid systems, such as smart grids and microgrids. However, these systems require advanced management and monitoring solutions to ensure efficient operation. This project investigates the integration of Internet of Things (IoT) technology into various aspects of a microgrid’s functionality. The main objective is to design a system that improves the reliability and efficiency of battery monitoring systems through an IoT-based data acquisition scheme. The study starts with an overview of recent and conventional grid technologies, emphasizing the benefits, features, and limitations of each grid type. It then transitions to analyzing the role of IoT technology in modern smart grids and microgrids, following a multi-faceted approach to various systems and grid-related concepts. This report presents an approach to integrating IoT into one of the main elements of microgrids: battery monitoring. The findings contribute to a more autonomous and user-friendly system with a simpler schematic compared to wire dependent systems that are more frequently subjected to environmental errors, enhanced by the ease of use of wireless communication. The proposed system is designed and implemented via simulation after a thorough comparison of each device comprising the system (Microcontroller, sensors…etc). The framework utilizes a set of sensors and algorithms to extract and process the required data. The results are analyzed, demonstrating a significant improvement in response time and efficiency of data acquisition compared to standard systems.Item Sizing of PV Pumping System with Optimizing MPPT Algorithm(Université M’Hamed Bougara de Boumerdes : Institut de génie electrique et electronique (IGEE), 2024) Benmbarek, Malik; Daif, Mouhaned; Kheldoun, Aissa (Supervisor)This report covers a comprehensive study of the sizing, modeling and simulation of a stand-alone solar water pumping system in El Oued, Algeria. The initial part involves selecting a farm located in Hassi Khalifa, El Oued, Algeria, which has an average water consumption of 43m/h. The irrigated site covers 1 hectare (10,000 square meters) of land. Sizing such a system has been carried out using differen ttool ssuc ha sCropwat ,Climwat ,an dPVgis. Sizing has led to the selection of a 2.2 kW submersible pump, 3.19 kW PV array, 3 kW inverter, and a 74m2 Tank of height 3 m. System dynamic modeling is done using MATLAB/Simulink which contains several models of sub-systems such as solar arrays, DC-DC boost converter, two-level inverter, Squirrel cage IM, and centrifugal pump, This dynamic modeling has been developed based on the sizing of the system. To improve further the overall system’s efficienc y,an enhanced P&O MPPT algorithm has been developed. Moreover, a DTC algorithm is used to regulate both the motor’s speed and torque. Various numerical simulations were conducted to illustrate and validate the effectivenes so fthi ssystem .MATLAB/Simulin ksimulation shows that this system can deliver the required energy needed for the farm to satisfy all the requirements.Item Implementation and analysis of speed control of an induction motor using variable frequency drive(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Hamraoui, Oussama; Kheldoune, Aissa (supervisor)This work examines the implementation and analysis of speed control of an induction motor using a Variable Frequency Drive (VFD). The study focuses on optimizing motor performance through an open loop configuration within an automation system. The implementation was carried out using the Siemens G120 VFD, which receives commands from an S1200 Siemens PLC. The primary goal is to achieve precise speed control of the induction motor, enhancing efficiency and stability in industrial applications. The results provide valuable guidance on the practical usage of VFDs in industrial automation and recommendations for optimizing motor performance based on unique operational needs.Item Implementation of a 5 level modular multivel converter(Université M’Hamed Bougara de Boumerdes : Institut de génie electrique et electronique (IGEE), 2024) Khaldi, Yahia; Metidji, Brahim (Supervisor)This Master 2 project explores the design and implementation of a modular multilevel converter (MMC),focusing on both theoretical and practical aspects. The theoretical component delves into the fundamentals of multilevel converters, detailing various modulation techniques employed to enhance performance and efficiency. Specifically, it examines the advantages and challenges of using these techniques in multilevel converters. The practical segment involves the simulation of a 5-level inverter using MATLAB Simulink, aimed at evaluating its performance under different conditions. Key meth- ods include the application of advanced pulse width modulation (PWM) techniques to minimize harmonic distortion and improve voltage output quality. The simulation results demonstrate a significant reduction in total harmonic distortion (THD) and efficient power conversion. Following the simulation, the project transitions to the real-world implementation of the 5-level inverter with actual components. This phase involves constructing the inverter, integrating control strategies, and testing the system’s performance. The findings reveal that the implemented inverter closely aligns with the simulated results, confirming the viability of the design for practical applications.Item Three Level T-Type Inverter(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Mekhoukhe, Sami; Achit, Walid; Metidji, Brahim (supervisor)This report investigates the design and implementation of a Three Level T-Type Inverter with the objective of delivering superior AC output with reduced harmonic distortion. Traditional inverters often face challenges with harmonic distortions, which negatively impact the efficienc yan dqualit yo fpowe rconversion .Th eThree Level T-Type Inverter, however, offers a promising alternative due to its unique topology and operational advantages. In this study, a T-Type inverter was designed and implemented using Sinusoidal Pulse Width Modulation (SPWM) for control, with Insulated Gate Bipolar Transistors (IGBTs) as switching devices. A single-leg T-Type inverter configuratio nwa semploye dt ogenerat eth edesire doutput .Th eperformanc eo fth einverter was tested with an RL load, and various parameters were analyzed to assess the quality of the output signal. The results demonstrated that the inverter successfully generated a sine wave at the output, with the signal quality improving as the switching frequency (fs) increased. Additionally, it was observed that increasing the inductance in the RL load further enhanced the quality of the output signal by reducing harmonic distortion. This report confirm stha tThre eLeve lT-Typ eInverter sca neffectivel ydelive rsuperio rA Coutpu twith minimized harmonic distortion, making them a viable option for high-quality power conversion applications.Item A Comprehensive study on partial discharge measurements and daignostics(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Bencheikh, Younes; Benzaoui, Younes; Bouchahdane, Mohamed (supervisor)This study aims to explore the applicability and benefit so fpartia ldischarg e(PD)testing for high voltage equipment, particularly in the context of Algeria, where such practices are not yet widely implemented. The scope of this research encompasses various high voltage equipment used in the energy sector. To achieve a thorough examination, we utilized multiple detection methods, including electromagnetic, optical, acoustic, and chemical techniques. Each method was assessed for its effectiveness in identifying and analyzing partial discharge occurrences. Our finding sindicat etha tpartia ldischarg etestin gprovide s amor ecomprehensiv eun- derstanding of insulation integrity compared to traditional methods such as high-pot and high voltage tests. Additionally, PD testing showed excellent compatibility with other insulation assessments like tan delta tests. Through detailed interpretation of PD patterns and comparative analysis, we demonstrated the superior diagnostic capabilities of PD testing. These results suggest that adopting partial discharge testing in Algeria could significantly enhance the reliability and safety of high voltage equipment, contributing to improved maintenance practices and longer equipment lifespan.Item Detection and classification of faults in photovoltaic modules(2024) Mekhalif, Ibtihel; Kheldoun, Aissa (supervisor)Solar photovoltaic systems are being widely used in green energy harvesting recently. At the same rate of growth, the modules that come to the end of life are growing fast. Therefore, rapid fault detection and classification of PV modules can help to increase the reliability of the PV systems and reduce operating costs. Inspection and maintenance of solar modules are important to increase the lifetime, reduce energy loss, and environmental protection. A combination of infrared thermography and machine learning methods has been proven effective in the automatic detection of faults in large-scale PV plants. However, so far, few studies have assessed the challenges and efficiency of these methods applied to the classification of different defect classes in PV modules. In this dissertation, an efficient PV fault detection and classification method is proposed to classify different types of PV module anomalies using thermographic images utilizing convolutional neural networks (CNN) and artificial neural networks (ANN). Eleven types of PV module faults such as cracking, diode, hot spot, offline module, and other faults are utilized. Several evaluation metrics were used toassess the performance namely accuracy, recall, precision, and F1 score. The testing accuracy was obtained as 91% for the detection of anomalies in PV modules and 91% to classify defects for four classes and 73% for twelve classes. In conclusion, the integration of advanced imaging techniques and machine learning algorithms presents a promising avenue for enhancing the reliability of PV systems. As the demand for clean and sustainable energy continues to grow, such innovations will be instrumental in meeting global energy needs while minimizing environmental impact. The advancements outlined in this thesis represent a significant step forward in the pursuit of more efficient and resilient renewable energy infrastructures.Item Control of hybrid energy storage system in DC microgrid using energy and power management(2024) Selmani, Akram; Ouaden, Alaeddine; Boutora, Saliha (supervisor)The global transition towards sustainable energy solutions has significantly accelerate d the development and integration of renewable energy sources into power systems. Among these systems, DC microgrids have emerged as a promising technology due to their efficiency, reliability, and ability to integrate diverse renewable energy sources such as solar and wind power. This shift is driven by the urgent need to address the environmental impacts of conventional fossil fuel-based energy generation and to enhance energy security. DC microgrids offe rseveral advantages ,including reduced energy losses ,improved power quality, and enhanced flexibility in energy management .These benefits a reparticularly crucial in applications ranging from residential and commercial buildings to remote and off-grid areas. However, the effective operationo fD Cmicrogrid shinge son the integration of robust energy storage systems and advanced energy management strategies. In addition to energy storage, the implementation of sophisticated energy management systems (EMS) is essential for the optimal operation of DC microgrids. These systems employ various control algorithms and optimization techniques to manage the generation, storage, and consumption of energy efficiently.Power management systems (PMS ),which are integral to EMS, utilize artificial intelligence and other advanced methods to enhance the reliability and performance of microgrids.Item Enhancing power system continuity of service in the west of Algiers(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Abdelmalek, Mahmoud; Rafik, Djouada; Boutora, Saliha (supervisor)The electrical network of the west of Algiers experiences ongoing issues that lead to disruptions, blackouts, and reduced reliability. Factors such as inadequate infrastructure, aging equipment, and sudden incidents like short circuits contribute to the failure of lines, cables, and generators, affectin gsyste mstabilit yan dservice continuity. This study analyzes the impact of line and generator failures on the power system and proposes effective solutions ,including protection scheme sand power reserve capacity enhancements, validated through simulations.