Electrical Engineering

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https://hdl.handle.net/20.500.11888/10121

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    Virtual Network Operations Center (VNOC)
    (2025) Ranin Sharawneh; Roua Daghameen; Laila Omer
    This report explores the concept of a Virtual Network Operations Center (VNOC) within the metaverse, aiming to revolutionize network management and monitoring. Building traditional Network Operations Centers (NOCs), a VNOC leverages virtual environments to enhance real-time monitoring, incident management, and network optimization. The report discusses the integration of virtual reality technologies with existing NOC functionalities, such as 24/7 monitoring, security monitoring, and network performance analysis. It outlines how a VNOC can improve operational efficiency, enhance security, and provide immersive experiences for network professionals.
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    FAULT DETECTION IN TRANSMISSION LINES USING ARTIFICIAL INTELLIGENCE
    (2025) Sameer Othman; Abdelkareem Kukhun; Khaled Azaizeh
    Maintaining continuous power is very important for any modern infrastructure. Still, power transmission lines are likely to develop faults as a result of weather conditions, aged equipment, or contact with humans or animals. According to studies, traditional approaches to finding faults are not very accurate and are delayed. It presents a low-cost approach using Artificial Intelligence (AI) to locate and identify problems in a small-scale transmission line. The system gathers data using ACS712 and ZMPT101B sensors on Arduino and Raspberry Pi boards, and then this data is processed by a neural network. It also quickly spots an issue in the power grid and pinpoints the specific zone that has a fault. It is vital to keep power lines operational, but they often experience faults. Modern grids make it difficult for traditional ways of detecting faults. The paper outlines how a low-cost Artificial Intelligence system was built with Arduino and Raspberry Pi, along with sensors (ACS712 and ZMPT101B), to spot and mark problems on a laboratory electricity line model as they happen. The ANN was trained by using data that came from experiments with simulated normal and faulty conditions in eight zones. The system performed well by correctly locating every fault and its exact area when tested in real time. The approach allows for AI to be deployed easily on edge devices, thus helping to link the analysis done in simulations with practical applications in the real world. The process consists of collecting data with Arduino, training and predicting with Python, and identifying faults right away with the help of digital output signals.
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    fault detection in teansmision line using Ai
    (2025) abdalkarim kukhun; sameer othman; khaled azazizeh
    The expanding dependence on renewable energy sources has highlighted the require for productive fault detection systems in electrical networks This study aims to plan a device based an AI- for detecting faults in power transmission lines.
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    Control of Active and Reactive Power on a Single-Phase Grid-Tie Inverter
    (2025) Eng. Mahmoud Tartir; Eng. Osama Dawoud; Eng. Malak Amer
    As the global demand for electricity continues to rise, Photovoltaic (PV) power integrated into the utility grid is becoming increasingly prominent. Solid-state inverters have proven to be a key technology in enabling the connection of PV systems to the grid. Typically, 2-level inverters are used to convert the DC output from the PV system into AC power for the utility. These inverters are commonly managed using Hysteresis control to regulate the flow of real and reactive power from the PV to the grid. In this project, new control techniques will be tested to control the real and reactive power generated by the inverter. One of these techniques is using the Repetitive Controller besides the PI controller to minimize any error in tracking the sinusoidal reference input. The other technique is the using of a resonant controller to achieve the same objective, as demonstrated in Figure 1. The system will first be modeled in MATLAB Simulink, followed by hardware implementation. The hardware setup will include using a microcontroller, current sensor, voltage sensors, a transformer, and building H-Bridge using IGBTs and its associated gate driver’s circuits. Additionally, all the controllers in addition of the generation of the PWM signals will be implemented in the microcontroller to regulate the injection of real and reactive power into the grid. This project distinguishes itself from previous ones through its novel control approach, the design of the H-Bridge, and the practical implementation, which was not achieved in earlier projects with previous students. Figure 1 highlights the proposed system configuration and control strategy. Figure 1 Single Phase Grid Tied Inverter With Active And Reactive Power
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    A 4 Switch Buck-Boost DC/DC Converter for Electric Vehicle
    (2025) Dareen Nofal Batool hanini; Mohammad Ghazzawi; Batool hanini
    The secret to increasing the use of sustainable energy is efficient energy storage. Designing a battery system that encompasses specific volume requirements offers a prolonged life cycle and exhibits rapid charge and discharge characteristics necessitates careful consideration. In this project, we used a technique to improve the battery of the Electric Vehicles (EVs) by controlling in charging voltage into battery by using a buck boost dc/dc converter. the buck boost converter is required as factors such as speed, ground clearance. can increase or decrease the charging voltage. Thus, this project consists an analyzed for input buck-boost converter (IBBC) and proposes charging of EV battery. IBBC small-signal model is derived and used to design a controller for four switches. And the project shows the Simulink model of the four switches buck boost converter that is applied in EV battery and the results of the simulation and performance of the IBBC and all of this is discussed. Most DC/DC converters are used in applications where both VIN and VOUT are fixed or have a narrow range. However, there are applications where either VIN or VOUT, or both, have a very wide range. For example, the voltage of the battery in a battery charger has a wide range from minimum charge to full charge; thus, the DC/DC converter used in the charger needs to provide a wide output range.