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检索条件"机构=Dept of Process Control Technology"

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Development and Operation of a Fuzzy Logic-Based MPPT controller for Grid-Connected Photovoltaic Power Systems 24

Development and Operation of a Fuzzy Logic-Based MPPT Contro...

引用

24th International Middle East Power System Conference, MEPCON 2023

作者： Ghalib, Mohamed Ali Hamad, Samir A. Elborlsy, M.S. Ebied, Mostafa A. Beni-Suef University Faculty of Technology and Education Process Control Technology Dept. Egypt Beni-Suef University College of Technology and Education Electronics Technology Dept Egypt

ISBN: (纸本)9798350358469

This research study offers a comprehensive analysis of the performance of different maximum power point tracking (MPPT) techniques in grid-connected photovoltaic (PV) systems. The study introduces a robust control strategy that utilizes fuzzy logic to optimize power point tracking and enhance power quality. The effectiveness of the proposed control strategy is rigorously evaluated using a simulation model, considering various operational conditions, including normal operation and grid faults. The results provide compelling evidence that the utilization of fuzzy logic-based MPPT control can be a highly effective solution for improving power quality in grid-connected PV systems compared to conventional techniques. © 2023 IEEE.

关键词： Fuzzy logic

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Optimizing Thermo-Electric Generation with Quasi-Z-Source Converter in Energy Harvesting for Wearable Devices 3

Optimizing Thermo-Electric Generation with Quasi-Z-Source Co...

引用

3rd International Conference on Mechatronics and Automation technology, ICMAT 2024

作者： Lotfy, Mostafa Wageh Hussein, Aziza I. Dept. of Process Control Technology Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Electrical and Computer Engineering Department College of Engineering Effat University Jeddah Saudi Arabia

ISBN: (纸本)9781643685649

Recent advances in semiconductors industry and microelectronics have created new opportunities for integrating various technologies in energy harvesting projects. These advancements have simplified the process of capturing energy from different sources, such as thermal energy, and converting it into electrical power. Thermo-Electric Generators (TEGs) are commonly used in many applications such as wearable devices. However Thermo-Electric Generators produce very low output voltages, which is insufficient for most low-power electronic circuits to operate. Therefore, a boost converter is essential to step up the voltage output from the TEG to a usable level. In this paper, a DC-DC converter with a high performance in terms of voltage gain is implemented. The proposed quasi-Z-source (q-ZSC) DC-DC converter not only offers high voltage gain but also several significant advantages. The proposed q-ZSC is capable of both boosting and regulating the voltage output efficiently, even under variable input conditions, making it highly suitable for low-power energy harvesting systems such as Thermo-Electric Generators. The design is simulated using MATLAB Simulink software, focusing on integrated circuits, with a strong emphasis on optimizing the circuit's efficiency. This work underscores critical factors in improving energy harvesting circuits, enhancing their performance and effectiveness in low-power applications for wearable technology. © 2024 The Authors.

关键词： DC generator motors

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Enhancing 6G-Satellite Network Integration with Artificial Intelligence: A Future Communication Paradigm 22

Enhancing 6G-Satellite Network Integration with Artificial I...

引用

22nd International Learning and technology Conference, L and T 2025

作者： Salah, Ibrahim Hussein, Aziza I. Wageh Lotfy, Mostafa Mabrook, Mohamed Mourad Almaaqal University College of Engineering Control and Computer Department Basrah61001 Iraq Effat University College of Engineering Energy and Technology Research Center Saudi Arabia Faculty of Technology and Education Beni-Suef University Dept. of Process Control Technology Beni-Suef Egypt Beni-Suef University Faculty of Navigation Science & Space Technology Space Communication Dept. Beni-Suef Egypt

ISBN: (纸本)9798331532215

The integration of 6G networks and satellite communications is set to revolutionize global connectivity, offering seamless coverage across terrestrial and non-terrestrial environments. Artificial Intelligence (AI) is essential for improving this integration, addressing challenges such as dynamic resource management, latency reduction, and network optimization. AI techniques like machine learning, deep learning, and reinforcement learning offer innovative solutions to handle the complexities of 6G-satellite networks. These advancements promise to significantly improve network efficiency, enhance data transmission reliability, and ensure seamless connectivity across different areas. Potential use cases include smart cities, autonomous vehicles, and Internet of Things (IoT) applications, where AI-driven 6G-satellite integration will be crucial. The proposed AI-enhanced 6G-satellite framework not only addresses current challenges but also lays the groundwork for a resilient, scalable, and globally interconnected communication infrastructure, offering a promising future. © 2025 IEEE.

关键词： Satellite communication systems

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Intelligent PI controller for Frequency Enhancement of a Diesel-PV-Battery-Based islanded AC microgrid 24

Intelligent PI Controller for Frequency Enhancement of a Die...

引用

24th International Middle East Power System Conference, MEPCON 2023

作者： Elborlsy, M.S. Mostafa, R.M. Keshta, Hossam E. Ghalib, Mohamed. A. Beni-Suef University Faculty of Technology and Education Process Control Technology Dept. Beni-Suef Egypt ShoubraBenha University Faculty of Engineering Department of Electrical Engineering Benha Egypt

ISBN: (纸本)9798350358469

Smart and flexible control is needed in contemporary electrical *** maintain a balance between power generation and usage, especially during major disruptions. Microgrids primarily rely on naturally fluctuating renewable energy sources (RES) for electricity generation. Power system fluctuations make traditional controllers inadequate for optimal performance across Diverse operational scenarios. To enhance frequency performance in an isolated AC microgrid, this paper focuses on a fuzzy PI (FPI) controller that can adjust control measures for fluctuating frequency in the face of uncertainties such as abrupt load changes and variation in solar irradiance. A comparative study was conducted to demonstrate the superior performance of the FPI in regulating frequency in an isolated AC microgrid system. © 2023 IEEE.

关键词： Solar panels

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Advancing Environmental Sustainability: Renewable Energy Transition, Carbon Footprint Reduction, and Emission control Innovations 22

Advancing Environmental Sustainability: Renewable Energy Tra...

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22nd International Learning and technology Conference, L and T 2025

作者： Hussein, Aziza I. Alghamdi, Roba W. Al-Amoudi, Amal Abdullah Altahawi, Omar Hisham Kabbaja, Narjisse Mabrook, Mohamed Mourad Lotfy, Mostafa Wageh Effat University Electrical & Computer Eng. Dept. Jeddah Saudi Arabia Beni-Suef University Faculty of Navigation Science & Space Technology Space Communication Dept. Beni-Suef Egypt Beni-Suef University Faculty of Technology and Education Dept. of Process Control Technology Beni-Suef Egypt

ISBN: (纸本)9798331532215

Combating climate change and promoting environmental sustainability necessitate a dedicated emphasis on renewable energy sources and lowering carbon footprints. Shifting from fossil fuels to renewable resources, such as solar, wind, biomass, and geothermal energy, is imperative. Equally important is enhancing energy efficiency across industries, transportation, buildings, and household appliances to reduce overall energy consumption and greenhouse gas emissions. Technological advancements, such as improved energy storage and smart grid systems, are essential for boosting the efficiency and dependability of renewable energy sources. Strategies to lower carbon footprints include transitioning to clean transportation, optimizing land use, reducing waste, recycling, promoting sustainable agriculture, and implementing carbon offset initiatives. Public education, corporate responsibility, and personal environmental awareness play vital roles in supporting carbon reduction. By combining sustainable energy practices with carbon reduction measures, we can collectively work towards curbing climate change and fostering a sustainable future. Additionally, utilized techniques to address the problem of high air pollution during vehicle cold starts. We modeled catalytic converter dynamics in MATLAB Simulink, using simplifying assumptions. One significant assumption involved treating the catalytic converter as a Continuous Stirred-Tank Reactor (CSTR), which allowed us to model its temperature uniformly, without accounting for temperature changes along its length. This approach is aimed at saving lives and reducing costs by effectively minimizing air pollution. © 2025 IEEE.

关键词： Clean energy

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A Review of Energy Management System Strategies for AC microgrids operating in islanded mode 3

A Review of Energy Management System Strategies for AC micro...

引用

3rd IEEE International Conference on Electronic Engineering, ICEEM 2023

作者： Elborlsy, M.S. Mostafa, R.M. Ghalib, M.A. Keshta, Hossam E. Beni-Suef University Faculty of Technology and Education Process Control Technology Dept. Beni-Suef Egypt Faculty of Engineering at ShoubraBenha University Department of Electrical Engineering Benha Egypt

ISBN: (纸本)9798350323511

The electricity demand is increasing due to environmental concerns, and economic benefits, leading to a shift towards renewable energy sources. However, the intermittent nature of renewables makes forecasting difficult. Microgrids ran help integrate small-scale renewable energy sources, energy storage systems, and non-renewable sources to address this challenge. Demand varies based on factors like time, location, season, climate, and resource availability. The primary aim of this research is to offer a thorough analysis of the latest advancements in isolated Alternating current (AC) microgrids, focusing on discussing Energy Management System (EMS) strategies. Specifically, the study emphasizes the integration of hybrid Renewable Energy Resources (RERs) with Energy Storage Systems (ESSs). Additionally, the paper presents potential research directions and future trends in this field. © 2023 IEEE.

关键词： Renewable energy resources

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An Intelligent MPPT Technique based on Fuzzy controller Applied to Grid-Connected PV Systems in Temperature Fluctuations 3

An Intelligent MPPT Technique based on Fuzzy Controller Appl...

引用

3rd IEEE International Conference on Electronic Engineering, ICEEM 2023

作者： Elborlsy, M.S. Hussien, Ahmed. E. A. Ebied, Mostafa A. Beni-Suef University Faculty of Technology and Education Process Control Technology Dept. Beni-Suef Egypt Renewable Energy Science and Engineering Department Beni-Suef Egypt Beni-Suef University Faculty of Technology and Education Electronics Technology Dept. Beni-Suef Egypt

ISBN: (纸本)9798350323511

Maximum power point tracking (MPPT) performs an essential part in harnessing the maximum power output from photovoltaic (PV) generators, regardless of fluctuations in temperature and irradiation conditions. This makes MPPT essential for maximizing the efficiency of PV systems. The boost converter handles increasing the PV DC voltage. Numerous MPPT algorithms are used to control these trackers, and one such technique is the fuzzy logic controller (FLC). The FLC can adapt to changes in environmental conditions and system parameters like temperature and Solar radiation, which can affect the performance of traditional control strategies. Consequently, fuzzy-logic-based MPPT control offers improved performance and higher efficiency in grid-connected PV systems (GCPV), mainly when operating conditions vary. To prove the benefits of this approach compared to Incremental Conductance (IC) under normal temperature conditions, GCPV is modeled using the MATLAB program. © 2023 IEEE.

关键词： Fuzzy logic

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LEECAU-Net: A Latent Entropy-Quantized and Efficient Channel Attention-Aided U-Net Model for Microscopic Medical Image Segmentation 9

LEECAU-Net: A Latent Entropy-Quantized and Efficient Channel...

引用

9th IEEE International Conference on Progress in Informatics and Computing, PIC 2024

作者： Das, Sanchita Maity, Gouranga Mandal, Diptarka Kaplun, Dmitrii Voznesensky, Alexander Sarkar, Ram Jadavpur University Dept. of Cse Kolkata India Defence Instituite of Advanced Technology Department of Applied Mathematics Pune India Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China St. Petersburg Electrotechnical University 'LETI' Dept. of Automation and Control Process St. Petersburg Russia

ISBN: (纸本)9798350363203

Microscopic medical image segmentation is essential for detailed cellular-level analysis in computational pathology, offering insights into disease mechanisms. However, this task is particularly challenging due to the high similarity between different cellular classes and variability within each class, especially in densely packed or overlapping cell regions. To this end, we present LEECAU-Net (Latent Entropy-quantized and Efficient Channel Attention-aided U-Net), a U-Net-based model designed to improve segmentation accuracy through a dual-attention mechanism. Built on an Inceptionv4 backbone, LEECAU-Net's encoder integrates Latent Entropy-quantized Channel Attention (LECA) and Efficient Channel Attention (ECA) modules. The ECA module enhances the network's ability to focus on essential channel dependencies, while LECA leverages entropy quantification to prioritize channels rich in information, leading to better differentiation between similar structures. We have tested LEECAU-Net on three challenging publicly available datasets: Triple Negative Breast Cancer (TNBC), Multi-organ Nuclei Segmentation (MoNuSeg), and Cervical Nucleus Segmentation (CNS). Across these datasets, our model achieves higher performance metrics than numerous state-of-the-art approaches reported in the literature. The improved results underscore the effectiveness of LEECAU-Net's architecture in handling the complexity of microscopic medical images, making it a valuable tool for advancing automated cellular analysis in biomedical research. The source code and more results are made available at https://***/Cmatermedicalimageanalysis/LEECAU-Net. © 2024 IEEE.

关键词： Image segmentation

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Power Loss Analysis of Energy Management System with Model Predictive control in Mae Hong Son Microgrid 3

Power Loss Analysis of Energy Management System with Model P...

引用

3rd IEEE International Conference on Power Electronics, Intelligent control and Energy Systems, ICPEICES 2024

作者： Prapanwattana, Nattakit Dechawatanapaisal, Donlapat Banjerdpongchai, David Rajan, Abhishek Center of Excellence in Intelligent Control Automation for Process Systems Chulalongkorn University Faculty of Engineering Dept. of Electrical Engineering 254 Phayathai Rd Bangkok Pathumwan10310 Thailand National Institute of Technology Sikkim Dept. of Electrical Engineering South Sikkim Ravangla737139 India

ISBN: (纸本)9798350387193

Energy management system (EMS) is an important tool for energy efficiency and reliability of the power system. The optimal power dispatch of energy resources can be obtained using the nonlinear model predictive control (NMPC). It is formulated as an optimization problem subject to linear and nonlinear constraints. Although the existing system works well under the current conditions, power loss has not been considered. Power loss in transmission lines occurs due to their resistance and a high amount of power flow to loads connecting to the system. The power loss leads to decreased efficiency in the electrical system and reduces the lifespan of equipment because of the high temperature from loss. This paper aims to analyze the power loss in the Mae Hong Son (MHS) microgrid. To achieve the research objectives, we employ the EMS of MHS with NMPC and calculate power loss in transmission lines for a period of 7 days. EMS considers three objective functions, namely, total operating cost, total carbon dioxide emission, and combined economic and emission dispatch and take into account of three seasons consisting of rainy, winter, and summer. © 2024 IEEE.

关键词： Predictive control systems

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Development and Operation of a Fuzzy Logic-Based MPPT controller for Grid-Connected Photovoltaic Power Systems

Development and Operation of a Fuzzy Logic-Based MPPT Contro...

引用

International Middle-East Power System Conference, MEPCON

作者： Mohamed Ali Ghalib Samir A Hamad M. S. Elborlsy Mostafa A. Ebied Process control Technology Dept. Faculty of Technology and Education Beni-Suef University Egypt Electronics Technology Dept College of Technology and Education Beni-Suef University Egypt

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