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7th International Conference on Advanced Communication Technologies and Networking, CommNet 2024

作者： Darabkh, Khalid A. Al-Mistarihi, Mamoun F. Odat, Bayan Abdallah The University of Jordan School of Engineering Computer Engineering Department Amman11942 Jordan Jordan University of Science and Technology Faculty of Engineering Electrical Engineering Department P.O. Box 3030 Irbid22110 Jordan

ISBN: (纸本)9798350367027

This study presents an intelligent strategy designed to enhance the efficacy of routing in VANETs. In particular, this work presents a new clustering approach for Cluster Head (CH) selection based on a weighted formula. Our protocol's objectives are to create clusters and allocate C H to each of them. In our protocol, three significant parameters are involved in C H selection process, including vehicle speed, average vehicle distance among other vehicles, and vehicle LifeTime (LT). By considering vehicle speed, the protocol enhances route stability and dependability while the average distance of a vehicle among other vehicles mitigates long-distance communications. Interestingly, the vehicle LT greatly minimizes the control overhead. Furthermore, for improved programmability and scalability, our approach incorporates novel technologies like Software Defined Network (SDN) and Fog Computing (FC) for location awareness. Proper network simulations are performed to test the performance of our proposed protocol, and considerable increases in terms of throughput are achieved over those of our protocol's counterparts. © 2024 IEEE.

关键词： Vehicular ad hoc networks

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Wind turbine inspection with drone: Advantages and disadvantages

Journal of Energy Systems

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Journal of Energy Systems 2023年第1期7卷 57-66页

作者： Tanrıverdi, Harun Karakuş, Güzide Ulukan, Ahmet Abdullah Gul University Graduate School of Engineering and Science Electrical and Computer Engineering Kayseri Turkey Necmettin Erbakan University Faculty of Aeronautics and Astronautics Department of Aviation Management Konya Turkey

The facilities on wind energy generation are increasingly finding usage areas in line with the ecologically friendly energy generation approach. One of the important activities of wind power generation facilities, which have high investment cost, low operating cost and low environmental impact is the maintenance and repair of wind turbines. A preventive maintenance approach is dominant to reduce maintenance times and eliminate lost time in wind turbines. Damage inspection of turbines has been evolved from tower crane access, rope access, camera viewing, and other applications to image with manual drones over the years. However, when these methods are evaluated within the framework of criteria such as cost, performance, occupational safety and data reliability, they are still insufficient and the need for inspection with autonomous drones arises. The advantages and disadvantages of autonomous drones used in the determination of damage in wind turbines are analyzed and the results are considered to contribute to the practitioners operating in the sector and academicians working in the field. © 2023 Published by peer-reviewed open access scientific journal.

关键词： Wind power

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Characterization of Traffic in the Internet of Vehicles Using Microscopic Modelling

Characterization of Traffic in the Internet of Vehicles Usin...

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2024 IEEE International Conference on Advanced Telecommunication and Networking Technologies, ATNT 2024

作者： Obeng, Kobby Asare Ariffin, Sharifah H.S. Muhammad, Nor Aishah Baharudin, Muhammad Ariff Universiti Teknologi Malaysia Faculty of Electrical Engineering Malaysia Koforidua Technical University Department of Computer Science Ghana Universiti Teknologi Malaysia Faculty of Electrical Engineering Johor Malaysia

ISBN: (纸本)9798350353501

The emergence of the Internet of Vehicles (IoV) as a driver for the new age of Intelligent Transportation Systems (ITS) provides an opportunity for a wide range of services and applications driven by the various interactions that exist between a vehicle and its environment. However, the nature of road networks affects real-time vehicular movements with respect to the departure, delay, speed and arrival of vehicles. In this paper, we present a data-driven, traffic theory and microscopic traffic simulation approach that can be used in modelling the underlying vehicular network of the IoV. Using the traffic status from the A4 highway dataset in Luxembourg, we obtain vehicular volumes from the vehicle flow rate, define thresholds for traffic status using data scaling and employ microscopic modeling to create traffic scenarios. The analysis from the results of the traffic scenarios shows unique vehicular patterns due to the nature of the road network providing insights that ultimately affect the design and implementation of IoV-based services and applications. © 2024 IEEE.

关键词： Internet of things

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Generic Modeling and Control Framework for Power Systems Dominated by Power Converters Connected Through a Passive Transmission and Distribution Grid

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 292-301页

作者： Qing-Chang Zhong Marcio Stefanello Department of Electrical and Computer Engineering Illinois Institute of TechnologyChicagoIL 60616USA Syndem LLC USA.M.Stefanello is with the Fundacao Universidade Federal do Pampa at AlegreteRS97546-550Brazil

In this paper,a compact mathematical model having an elegant structure,together with a generic control framework,are proposed for generic power systems dominated by power converters that are interconnected through a passive transmission and distribution(T&D)grid,by adopting the port-Hamiltonian(pH)systems theory and the fundamental circuit *** models of generic T&D lines are developed and then the model of a generic T&D grid is *** the proposed control framework,the controlled converters are proven to be passive and Input-to-State Stable(ISS).The compact mathematical model is scalable and can be applied to power systems with multiple power electronic converters with generic passive controllers,passive local loads,and different types of passive T&D lines connected in a meshed configuration without self-loops,so it is very ***,the resulting power system is proven to be ISS as *** analysis is carried out without assumptions on constant frequency/voltage,constant loads,and/or lossless networks,except the need of passivity for all parts involved,and without using the Clarke/Park transformations or the graph *** simplify the presentation,three-phase balanced systems are adopted but the results can be easily adapted for single-phase or unbalanced three-phase systems.

关键词： Input-to-State Stable(ISS) passivity,portHamiltonian(pH)systems Power electronic converters dominated power systems Synchronized and Democratized(SYNDEM)grid architecture

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Harnessing Recurrent-Based Deep Learning Models for Time Series Photovoltaic Power Forecasting 49

Harnessing Recurrent-Based Deep Learning Models for Time Ser...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Massaoud, Mohamed Saleh, Mohammad AlShaikh Eddin, Maymouna Ez Serpedin, Erchin Ghrayeb, Ali Abu-Rub, Haitham Texas A&m University Department of Electrical and Computer Engineering College Station United States Texas A&m University at Qatar Department of Electrical and Computer Engineering Doha Qatar

ISBN: (纸本)9798350331820

Photovoltaic (PV) power is progressively being subsumed into power grids. Consequently, reliable PV power forecasting (PVPF) has become essential to avoid ramp events that can adversely affect the operations of integrated power systems. This article presents a deep-learning-based algorithm for PVPF. The gated recurrent units (GRU) network was implemented to predict the non-linear spatiotemporal correlations of the weather data, leading to higher reliability of the PV stations. Experimental results obtained from actual testing demonstrate the validity of the GRU networks for accurate PVPF, contributing to the efficient operation and management of smart grids and renewable energy systems. The conducted case study shows that the proposed model outperforms bidirectional long short term memory (BiLSTM) and long short term memory (LSTM) models in terms of computation power, root-mean-square error, and mean absolute error metrics. © 2023 IEEE.

关键词： Long short-term memory

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Overvoltages and Critical Backflashover Current of a 150 kV Overhead Line: Influence of Lightning Current Waveform and Tower Grounding System Modeling 24

Overvoltages and Critical Backflashover Current of a 150 kV ...

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24th EEEIC International Conference on Environment and electrical engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024

作者： Patsalis, Diamantis G. Datsios, Zacharias G. Stracqualursi, Erika Araneo, Rodolfo Mikropoulos, Pantelis N. Tsovilis, Thomas E. School of Electrical & Computer Engineering Aristotle University of Thessaloniki High Voltage Laboratory Thessaloniki Greece University of Rome 'Sapienza' Department of Astronautical Electrical and Energy Engineering Rome Italy

ISBN: (纸本)9798350355185

This study investigates lightning current waveform effects on the fast-front overvoltages and critical currents that cause backflashover of the insulation of a 150 kV overhead line by means of ATP-EMTP simulations, considering frequency- and current-dependent effects of tower grounding systems. The CIGRE waveform is used to simulate negative first return-strokes. Several cases are investigated by employing front time, maximum steepness, and time to half value statistical distributions. Various approaches to model concentrated and extended ground electrode configurations are applied. The first one uses a resistor with a fixed resistance. The second approach considers the frequency-dependent (FD) response of the grounding system with fixed electrical properties of soil. The third approach the FD response with soil properties varying with frequency. The fourth is a soil ionization model. A hybrid method is used to yield the tower grounding systems FD responses. This method combines electromagnetic field analysis with circuit theory. The modeling approach of the grounding system influences more the critical backflashover current for shorter and steeper wavefronts, as well as longer wavetails. The impact of lightning current waveform parameters is quantified and discussed for the 150 kV line under investigation. © 2024 IEEE.

关键词： Overhead lines

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Neural Network-Driven Optimization of Photonic Crystal-Based All-Optical NOT Gate Design 3

Neural Network-Driven Optimization of Photonic Crystal-Based...

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3rd International Conference on Distributed Computing and High Performance Computing, DCHPC 2024

作者： Mohammadi, Alireza Parandin, Fariborz Ghahramani, Hosna Islamic Azad University Kermanshah Branch Department of Computer Engineering Kermanshah Iran Islamic Azad University Kermanshah Branch Department of Electrical Engineering Kermanshah Iran Islamic Azad University North Tehran Branch Department of Computer Engineering Tehran Iran

ISBN: (纸本)9798350381580

This study explores the application of neural networks in optimizing design parameters for an all-optical NOT gate using photonic crystals. It focuses on the unique properties of photonic crystals, highlighting their role in controlling light flow and creating small optical devices. The research introduces a three-layer neural network architecture trained to forecast crucial parameters necessary for the effective functioning of the NOT gate. By conducting systematic simulations, the neural network accurately determines the optimal radius of the rods (R0 and R1), which is essential for the gate's operation. The results obtained, when compared with actual outputs, show an outstanding Mean Absolute Error (MAE) of 0.005 for 'R0' and 0.0006 for 'R1', confirming the model's precision in replicating the behavior of the NOT gate across various input configurations. Through methodical simulations and analyses, the paper illustrates the effectiveness of the neural network in optimizing the rod radius and predicting gate behavior. The main rationale behind employing neural networks was to achieve higher prediction accuracy. The strength of neural networks lies in their capability to handle intricate scenarios, such as dealing with parameters like the lattice constant and the radius of the rods in photonic crystals. In such situations, neural networks offer a robust solution, enabling us to effectively tackle these challenges. © 2024 IEEE.

关键词： Photonic crystals

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Intelligent Farming in Rural Areas: CBGRU-Based Smart Agriculture and Precision Solutions 4

Intelligent Farming in Rural Areas: CBGRU-Based Smart Agricu...

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4th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2024

作者： Laxmi, M. Tamilselvan, V. Ramesh, C. Renganathan, K. Sukumar, P. Kaliappan, S. Geetanjali College of Engineering and Technology Department of Electrical and Electronics Engineering Telangana India Karpagam College of Engineering Department of Electrical and Electronics Engineering Coimbatore India M.Kumarasamy College of Engineering Department of Mechanical Engineering Karur India Sri Sairam Engineering College Department of Electronics and Instrumentation Engineering Chennai India Department of Computer Science and Engineering Erode India Lovely Professional University Division of Research and Development Phagwara Jalandhar India

ISBN: (纸本)9798350352931

Climate-Smart Agriculture (CSA) aims to reduce food insecurity, boost rural economies, and protect the environment. CSA programs sometimes ignore small-scale farmers' demands, who face higher challenges. This research introduces Vulnerable-Smart Agriculture (VSA) to address small-scale farmers' needs and create a sustainable farming framework. The recommended method involves preprocessing, feature selection, and model training. Data cleansing, normalization, and correlation analysis are preprocessing steps. MRMR and CFS are used to select features. The CBGRU architecture trains the model. The CBGRU model outperforms CNN and BiGRU with an average accuracy of 93.60%. High accuracy shows that the VSA strategy meets small-scale farmers' needs through data-driven insights. VSA can cover the CSA gap by including small-scale farmers, according to this research. Strong preprocessing, feature selection, and CBGRU-based model training can boost agricultural production, sustainability, and rural lives. © 2024 IEEE.

关键词： Smart agriculture

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Controller Design for Hybrid AC/DC Microgrid System with Renewable Sources and Motor Loads 3

Controller Design for Hybrid AC/DC Microgrid System with Ren...

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3rd International Conference on Advances in electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Sen, Sachidananda Rangarajan, Shriram S. Shiva, Chandan Kumar Vedik, B. Kumar, Ritesh Shruthi, N. SR University Department of Electrical and Electronics Engineering Telangana Warangal506371 India Dayananda Sagar College of Engineering Department of Electrical and Electronics Engineering Karnataka Bengaluru India Clemson University Department of Electrical and Computer Engineering ClemsonSC United States

ISBN: (纸本)9781665494007

The present trends in power system is gradually shifting towards the vision of smart grids. Here, the present distribution system is moving from being passive to active in nature because of increasing penetration of Renewable Energy Sources (RESs). This is resulting into formation of microgrids (MGs) having its own sources and loads. Now, the grid connected and islanded mode are operated in MGs. The working of MGs in presence of motor loads is very crucial control problem due to low inertia in the RESs. This paper introduces the integrated ac/dc MG that are applicable in a real-time controller design, which include renewable energy conservation and motor loads. When the hybrid microgrid is separated from the utility grid, it is works in special mode for acceptance of intermittent generation of the RESs. This calls for storage of the energy to provide good quality power supply to the loads especially the motor loads. It proposes the power flow control of the ac/dc hybrid MG with the help of converters which are of bidirectional nature. An AC/DC dual-powered converter is capable of cutting off active and passive power which are connected to ac to dc bus and it controls the frequency of the MG system and power flow. The output from generator is connected to the solar by the function of maximum power point tacking which is high by using a DC/DC booster converter. The battery banks that are attached to store the energy and increases the stability of the system. Because of low inertial characteristics of power electronic converters, the working of motor load is emphasized. The test results are presented to confirm the proposed AC/DC hybrid MG control scheme. © 2023 IEEE.

关键词： Dynamic loads

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Energy Stress of Non-Gapped Line Arresters Due to Lightning Strikes to a 150 kV Line: Concentrated Tower Grounding System Modeling Effects 24

Energy Stress of Non-Gapped Line Arresters Due to Lightning ...

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24th EEEIC International Conference on Environment and electrical engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024

作者： Datsios, Zacharias G. Patsalis, Diamantis G. Stracqualursi, Erika Araneo, Rodolfo Mikropoulos, Pantelis N. Tsovilis, Thomas E. School of Electrical & Computer Engineering Aristotle University of Thessaloniki High Voltage Laboratory Thessaloniki Greece University of Rome 'Sapienza' Department of Astronautical Electrical and Energy Engineering Rome Italy

ISBN: (纸本)9798350355185

This study investigates the impact of the frequency-and current-dependent behavior of concentrated tower grounding systems on the computed fast-front overvoltages across overhead transmission line (OHTL) insulation, the current flowing through line surge arresters (LSAs), and the energy absorbed by LSAs. This investigation is performed via ATP-EMTP simulations of a 150 kV double-circuit OHTL equipped with non-gapped line arresters (NGLAs). Two NGLA installation configurations are studied: 3 and 6 NGLAs at each tower. Four models are used for the concentrated tower grounding systems: (1) a resistor with a fixed resistance (ground resistance of towers), (2) frequency-dependent (FD) response with fixed and (3) FD soil electrical properties, and (4) the CIGRE model for soil ionization. A hybrid code was used to produce the FD grounding system responses. The tower ground resistance was a parameter and low-frequency soil resistivity was varied accordingly. The energy stressing NGLAs decreases notably when soil ionization is included in simulations. The adoption of the tower ground resistance (fixed value) in simulations yields conservative results in terms of NGLA energy stress. © 2024 IEEE.

关键词： Overhead lines

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