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Öğe 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.Öğe 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, MohamedRecent 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.Öğe 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, MohamedPhotovoltaics (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.