Yazar "Hafez, Mohamed" seçeneğine göre listele

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    Analysis of Electrical Power Losses in Low-Voltage Distribution Networks: A Study of Technical and Non-Technical Losses
    (Institute of Electrical and Electronics Engineers Inc., 2023) Mezban, Ali; Yahya, Khalid; Aldababsa, Mahmoud; Amer, Ayman; Hafez, Mohamed; Yahya, Adel E. M.
    This paper focuses on reducing technical and non-technical losses in low-voltage distribution networks. The study is conducted in two stages, where the capacity of each power transformer is determined, and the technical and non-technical losses within the network are assessed. The paper aims to identify the types and causes of these losses and proposes methods to determine technical losses in distribution networks accurately. The findings can be used to locate theft within the network using smart meter readings and voltage drop measurements at each load point. This study provides insights into improving the overall efficiency of distribution systems. © 2023 IEEE.
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    Analyzing the Impact of Temperature Variations on the Performance of Thermoelectric Generators
    (Institute of Electrical and Electronics Engineers Inc., 2023) Yahya, Adel E. M.; Sarreb, Rebha Daw; Yahya, Khalid; Attar, Hani; Aldababsa, Mahmoud; Hafez, Mohamed
    Recent advancements in renewable energy technologies have brought Thermoelectric Generators (TEGs) to the forefront, primarily due to their ability to efficiently convert waste thermal energy into electrical power across multiple power levels. This study delves into the environmental benefits and operational efficiencies of TEGs, highlighting their zero-emission, silent operation, and low maintenance requirements. A significant portion of this research is dedicated to exploring the influence of temperature differential (?T) on the efficacy of TEGs, as temperature is a crucial factor in the energy conversion process. The electrical representation of TEGs is modeled as a voltage source in series with an internal resistance, while its thermal aspect comprises parallel-connected p- and n-type thermocouples. The study aims to meticulously analyze the behavior of TEG models under various thermal gradients and to scrutinize their electrical characteristics under different load conditions. This is achieved through comprehensive experimental methodologies, with the findings underscoring the impact of temperature variations on both hot and cold sides of TEGs on all electrical parameters. It is observed that an increase in the temperature difference results in a corresponding rise in both the maximum power output and the open-circuit voltage. In essence, the efficiency of TEGs is noted to improve with a higher and more stable temperature differential. © 2023 IEEE.
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    Development of an Ultra-Sensitive Magnetic-Based Biosensor; a Simulation Study
    (Institute of Electrical and Electronics Engineers Inc., 2023) Yahya, Khalid; Husseini, Abbas Ali; Dirican, Onur; Attar, Hani; Aldababsa, Mahmoud; Hafez, Mohamed
    This study presents an advanced magnetic biosensor design incorporating an L-shaped ferromagnetic core with UL dimensions and an air gap replaced by highly porous aluminum or copper foam later-filled biological samples containing high-permeability ferromagnetic nanoparticles. The sensor detects specific biological molecules through magnetic field interactions. The system's electrical parameters were methodically optimized for enhanced performance. The research investigated the impact of various materials on the air gap's magnetic properties and assessed the relationships between permeability, output-induced voltage, input voltage, and input frequency. Findings indicate that using materials with higher magnetic permeability, such as Magnetite (Fe304) or Cobalt ferrite (CoFe2O4) ferrofluids, considerably improved the biosensor's performance by optimizing magnetic coupling between primary and secondary windings. This innovative magnetic biosensor holds potential for diverse applications, including medical diagnostics, environmental monitoring, and industrial process control. The study offers valuable insights into magnetic biosensor design and optimization, facilitating heightened sensitivity and selectivity in detecting target molecules. © 2023 IEEE.
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    Optimizing PV System Placement in Kirkuk City Power System Using PSO Algorithm
    (Institute of Electrical and Electronics Engineers Inc., 2023) Ali, Isam Taha; Yahya, Adel E. M.; Amer, Ayman; Sarreb, Rebha Daw; Yahya, Khalid; Aldababsa, Mahmoud; Hafez, Mohamed
    Photovoltaics (PV) are a rapidly growing source of energy worldwide and are typically installed as distributed generation in distribution systems. PV technology has emerged as a promising solution for increasing power demand and reducing greenhouse gas emissions. Placing PV systems in distribution systems is crucial for overall performance, but it is a complex task with multiple constraints and objectives. Particle Swarm Optimization (PSO) is a metaheuristic optimization technique based on bird flocking behavior that has proven to be a valuable tool for solving optimization problems. The PSO algorithm can find the optimal location, size, and orientation of PV panels in a distribution system, considering power losses, voltage stability, and system capacity. This work analyzes the Kirkuk City Power System (IEEE-5 BusBar) to find the optimal location and size for PV systems, improve voltage levels, and reduce losses. The PSO algorithm compares the power system before and after connecting the PV system. © 2023 IEEE.
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    Optimum-Location of PV in Distribution System using NR Method with Matlab-ETap Program
    (Institute of Electrical and Electronics Engineers Inc., 2023) Ali, Isam Taha; Yahya, Khalid; Aldababsa, Mahmoud; Amer, Ayman; Hafez, Mohamed; Sarreb, Rebha Daw
    This paper presents a method for optimizing photovoltaic (PV) system placement in distribution systems using the Newton-Raphson (NR) method with MATLAB code and E-Tap program load flow analysis. The proposed approach utilizes MATLAB code to calculate the optimal location and size of PV systems for maximum Voltage Level and minimum power losses. E-Tap program load flow analysis is used to simulate the distribution system and to validate the results obtained from the MATLAB code. The study provides a detailed explanation of the methodology used for the optimization and validation process. The Newton-Raphson method begins with an initial estimate of the root, denoted x0?xr, and uses the tangent of f(x) at x0 to improve on the estimate of the root. The expected outcomes include reduced power losses and improved Voltage Levels. The paper concludes with simulation results and a discussion of the potential benefits of the proposed approach. Also, we are working on analyses of the Kirkuk Power System (IEEE-5 Bus Bar). Find the Optimum Location and Size for the PV system in Kirkuk Power System (IEEE-5 BB). We use a PV system to improve the Voltage Level and reduce Losses in the Kirkuk Power System (IEEE-5 BB). Compare the power system before and after connecting the PV system using E-TAP and MATLAB software. © 2023 IEEE.
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    A Review on Deformable Voronoi Diagrams for Robot Path Planning in Dynamic Environments
    (Institute of Electrical and Electronics Engineers Inc., 2023) Samuel, Moveh; Yahya, Khalid; Aldababsa, Mahmoud; Amer, Ayman; Dofan, Jamal Ali Ramada; Merchan-Cruz, Emmanuel Alejandro; Hafez, Mohamed
    Route planning for mobile robots presents a complex challenge, mainly when designing pathways in dynamic environments. This complexity arises from the robot's need to balance the demand for efficient and optimal routes while also handling unexpected obstacles. This paper introduces an algorithm that combines two key concepts: the Voronoi Diagram, utilized for environment representation, and Deformation Retracts, integrated into the system to enable the path planner to adapt to moving obstacles by deforming the Voronoi Diagram. The combination of the previously described notions, Voronoi Diagrams, and Deformation Retracts from related areas (Computational geometry and Algebraic topology) has not yet been studied in robotics applications. The idea is supposed first to compute a Generalised Voronoi Diagram (GVD) and construct a pre-planned robot route, after which the Deformation retract might be applied to the open space of the Voronoi Diagram formed after an interference due to a moving object. The map will be distorted, and the starting route will be modified to a different path if one exists. This approach has a promising future since the dimension of the map has been reduced to one that depicts the retracting free space in the surroundings. As a result, the new method is relevant to robot navigation in complicated settings, as well as other disciplines such as game theory, virtual reality, and computational geometry, to name a few. © 2023 IEEE.