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An Algorithm for the Protection of Distribution Feeders Using the Stockwell and Hilbert Transforms Supported Features

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CSEE Journal of Power and Energy systems 2021年第6期7卷 1278-1288页

作者： OM Prakash Mahela Jaya Sharma Bipul Kumar Baseem Khan Hassan Haes Alhelou the Power System Planning Division Rajasthan Rajya Vidyut Prasaran Nigam Ltd.Jaipur-302005India Department of Electrical Engineering Rajasthan College of Engineering for WomenJaipurIndia the Department of Electrical and Computer Engineering Hawassa UniversityHawassa 1530Ethiopia the Department of Electrical Power Engineering Faculty of Mechanical and Electrical EngineeringTishreen UniversityLattakia 2230Syria

Faults’recognition in the distribution feeders(DFs)is extremely important for improving the reliability of the distribution ***,this paper proposes a technique to identify the faults on the DF using the Stockwell Transform(ST)dependent variance feature and Hilbert transform(HT)by utilizing current *** element to element multiplication of the H-index,we compute using HT aided decompositions of current waveforms and VS-index,and calculate through ST aided decomposition of current *** utilizing the decision rules,various faults are *** faults studied in this work are line to ground,double line,double line to ground and 3-Φto *** high fault impedance,this technique is effectively ***,variations in the fault incidence angles are also utilized to test the performance of the proposed *** perform the proposed algorithm,a IEEE-13 bus system is developed in MATLAB/Simulink *** algorithm effectively classified the faults with accuracy greater than 98%.The algorithm is also successfully validated on the IEEE-34 bus test ***,the algorithm was successfully validated on the practical power system *** is recognized that the developed method performed better than the discrete Wavelet transform(DWT)and ruled decision tree based protection scheme reported in various literature.

关键词： Fault classification fault recognition H-index VS-index

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Architecture and Operational Control for Resilient Microgrids

Architecture and Operational Control for Resilient Microgrid...

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Annual Meeting Industrial and Commercial Power systems Technical Conference

作者： Alexandre F. M. Correia Miguel Cavaleiro Miguel Neves A. Paulo Coimbra Tony R. O. Almeida Pedro Moura Aníbal T. de Almeida Department of Electrical and Computer Engineering Institute of System and Robotics University of Coimbra Coimbra Portugal

ISBN: (数字)9798350345308

ISBN: (纸本)9798350345315

The increasing frequency of natural disasters has led to situations in which small urban centers and critical infrastructures become isolated from the main utility grid. The microgrids’ ability to work autonomously from the utility grid presents a viable solution to this problem. Microgrid resiliency is the characteristic related to the capacity of a microgrid to minimize the impact of disruptive events and ensure that the power supply is maintained under a variety of adverse conditions. This is especially important for critical infrastructures such as hospitals, communications, computer networks and military bases. The objective of this paper is to simulate strategies and propose an algorithm for the design and management of electric microgrids with a focus on resiliency towards critical and disaster situations. The proposed solutions were validated, using an experimental microgrid implemented at the University of Coimbra as a pilot. As a result of the work, the study presents an algorithm that efficiently manages loads of a microgrid, including automatic islanding operation, in order to increase its resilience when the microgrid is isolated from the utility grid.

关键词： Surveys Disasters Microgrids computer architecture Quality of service Stability analysis Critical infrastructure

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Novel Inverter Topology for Electric Vehicle Inductive Wireless Power Transfer Charging

Novel Inverter Topology for Electric Vehicle Inductive Wirel...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Hosseinzadeh, Mohammad Ali Sarebanzadeh, Maryam Kennel, Ralph Babaei, Ebrahim Garcia, Cristian Rodriguez, Jose Technical University of Munich High-Power Converters System Munich Germany University of Tabriz Faculty of Electrical and Computer Engineering Tabriz Iran Universidad de Talca Department of Electrical Engineering Curico Chile Universidad San Sebastian Faculty of Engineering Santiago Chile

ISBN: (纸本)9798350316445

Inductive wireless power transfer charging for electric vehicles encounters a significant challenge due to heightened common-mode current, impacting safety and electromagnetic interference (EMI) emissions. This study introduces an innovative inverter topology tailored specifically for inductive wireless power transfer charging. The novel topology aims to lower common-mode voltage while entirely eliminating common-mode current generation. By incorporating an extra capacitor and discrete diode, the proposed inverter topology maintains an equivalent number of power switches as the conventional H-bridge inverter. Utilizing theoretical analysis, simulation and experiments, the study comprehensively compares the proposed inverter with the established traditional inductive charging system. Evaluation factors encompass functionality, common-mode voltage and current behavior, power losses, and overall efficiency. The results unequivocally showcase the benefits of the proposed inverter. Notably, it successfully suppresses common-mode current, thereby enhancing safety and reducing EMI emissions. Additionally, the proposed topology demonstrates heightened efficiency compared to the traditional inverter. In sum, these findings underscore the significant advantages of the suggested inverter, highlighting its potential to mitigate common-mode current challenges and elevate operational efficiency. © 2023 IEEE.

关键词： DC-AC power converters electric vehicles inductive charger systems Wireless power transfer

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A Three-port Dual Active Bridge Resonant Based with DC/AC Output

A Three-port Dual Active Bridge Resonant Based with DC/AC Ou...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Nilian, Mohammad Rezaii, Reza Safayatullah, Md Gullu, Sahin Alaql, Fahad Batarseh, Issa University of Central Florida Department of Electrical and Computer Engineering OrlandoFL United States Electric Drive System Ford Motor Company DearbornMI United States Imam Mohammad Ibn Saud Islamic University Department of Electrical Engineering Riyadh Saudi Arabia

ISBN: (纸本)9798350316445

This paper introduces a three-port dc-dc-dc/ac converter based on dual active bridge resonant (DABR) topology that can integrate two dc input sources such as photovoltaic (PV) panels and provide one dc/ac output (battery/grid). The proposed converter is well-suited for grid-tied photovoltaic and energy storage systems. The power flow occurs due to the phase-shift between the primary and secondary switches. We employ triple phase-shift (TPS) modulation that confirms zero-voltage-switching (ZVS) of all the switches for a wide range of output voltage and thereby, increases the overall efficiency. The operating principles of the three-port converter have been described. Both simulation and experimental results demonstrated in the paper validate the feasibility of the proposed converter. © 2023 IEEE.

关键词： dual active bridge electric vehicle grid resonant converter soft switching three-port converter zero-voltage switching

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Deep Optimal VGG16 Based COVID-19 Diagnosis Model

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computers, Materials & Continua 2022年第1期70卷 43-58页

作者： M.Buvana K.Muthumayil S.Senthil kumar Jamel Nebhen Sultan S.Alshamrani Ihsan Ali Department of Computer Science and Engineering PSNA College of Engineering and TechnologyDindigul624622India Department of Information Technology PSNA College of Engineering and TechnologyDindigul624622India Department of Electrical and Electronics Engineering New Prince Shri Bhavani College of Engineering and TechnologyChennai600073India Prince Sattam Bin Abdulaziz University College of Computer Engineering and SciencesAlkharj11942Saudi Arabia Department of Information Technology College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer System and Technology Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala Lumpur50603Malaysia

Coronavirus(COVID-19)outbreak was first identified in Wuhan,China in December *** was tagged as a pandemic soon by the WHO being a serious public medical *** spite of the fact that the virus can be diagnosed by qRT-PCR,COVID-19 patients who are affected with pneumonia and other severe complications can only be diagnosed with the help of Chest X-Ray(CXR)and Computed Tomography(CT)*** this paper,the researchers propose to detect the presence of COVID-19 through images using Best deep learning model with various *** features like Speeded-Up Robust Features(SURF),Features from Accelerated Segment Test(FAST)and Scale-Invariant Feature Transform(SIFT)are used in the test images to detect the presence of *** optimal features are extracted from the images utilizing DeVGGCovNet(Deep optimal VGG16)model through optimal learning *** task is accomplished by exceptional mating conduct of Black Widow *** this strategy,cannibalism is *** this phase,fitness outcomes are rejected and are not satisfied by the proposed *** results acquired from real case analysis demonstrate the viability of DeVGGCovNet technique in settling true issues using obscure and testing ***16 model identifies the imagewhich has a place with which it is dependent on the distinctions in *** impact of the distinctions on labels during training stage is studied and predicted for test *** proposed model was compared with existing state-of-the-art models and the results from the proposed model for disarray grid estimates like Sen,Spec,Accuracy and F1 score were promising.

关键词： COVID 19 multi-feature extraction vgg16 optimal learning rate

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Fault-tolerant control for constrained unmanned marine vehicles based on model predictive control with integral sliding mode control 5

Fault-tolerant control for constrained unmanned marine vehic...

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5th International Symposium on Autonomous systems, ISAS 2022

作者： Wu, Zhi-Jie Hao, Li-Ying Shen, Chao Dalian Maritime University College of Marine Electrical Engineering Dalian China Carleton University Department of System and Computer Engineering Ottawa Canada

ISBN: (纸本)9781665487085

In this paper, a fault-tolerant control method for dynamic positioning of constrained unmanned marine vehicles is investigated. Due to the optimization essence, model predictive control can explicitly solve the practical constraints of the system, meanwhile, considering the robustness of integral sliding mode control, the effect of system uncertainties can be compensated. Hence, the proposed control scheme is based on the combination of model predictive control and integral sliding mode control. The inner integral sliding mode control loop is designed to compensate the thruster faults and reject the ocean disturbances. While the external model predictive control loop can ensure an optimal solution of the dynamic system with the constraints on state and input variables. Finally, the effectiveness of our proposed fault tolerant control scheme is demonstrated in the simulation. © 2022 IEEE.

关键词： Model predictive control

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Optimizing optical pulse breakup for efficient supercontinuum generation in an all-fiber system

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Optics Continuum 2024年第2期3卷 164-175页

作者： Chang, Kuan-Yuan Gong, Chen-Jia Liu, Jia-Ming Institute of Photonic System National Yang Ming Chiao Tung University Tainan Taiwan Institute of Imaging and Biomedical Photonics National Yang Ming Chiao Tung University Tainan Taiwan Electrical and Computer Engineering Department University of California Los AngelesCA United States Graduate Institute of Optoelectronic Engineering National Chung Hsing University Taichung Taiwan

Ultra-broadband supercontinuum (SC) is generated by an all-fiber system with well-defined pulses (WDPs) as a seed laser. Through properly adjusting the lengths of the fiber segments in the system, sub-pulses with high peak powers are generated through the process of optical pulse breakup. Then, the broken optical pulses are launched into a hybrid nonlinear, which consists of a highly nonlinear optical fiber and a photonic crystal fiber, generating a SC of 1.8 W covering a spectral range from 554 nm to 2.17 µm. In this study, it is demonstrated through experimental observation that optical pulse breakup is an essential process for WDPs before the pulses are launched into a nonlinear optical fiber to generate SC. However, pulse breakup must not happen before the amplification of the WDPs;otherwise, the amplification efficiency is decreased, leading to a subsequent low efficiency of SC generation. The proper breakup of the WDPs after they are efficiently amplified is accomplished by sending these pulses through an optimum length of regular optical fiber, which depends on the peak power of the amplified WDPs. An optical fiber of an insufficient length leads to insufficient pulse breakup, which does not significantly increase the peak power of the pulses, resulting in little enhancement of SC generation. An excessively long fiber leads to excessive pulse breakup, which stretches the pulsewidth and splits the pulse energy, resulting in decreasing the efficiency of SC generation. © 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Supercontinuum generation

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F-CNN: Faster CNN Exploiting Data Re-Use with Statistical Analysis 5

F-CNN: Faster CNN Exploiting Data Re-Use with Statistical An...

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5th IEEE International Conference on Artificial Intelligence Circuits and systems, AICAS 2023

作者： Alantali, Fatmah Halawani, Yasmin Mohammad, Baker Al-Qutayri, Mahmoud Khalifa University System-on-Chip Lab Electrical Engineering and Computer Science Department Abu Dhabi United Arab Emirates University of Dubai College of Engineering & Information Technology Dubai United Arab Emirates

ISBN: (纸本)9798350332674

Many of the current edge computing devices need efficient implementation of Artificial Intelligence (AI) applications due to strict latency, security and power requirements. Nonetheless, such devices, face various challenges when executing AI applications due to their limited computing and energy resources. In particular, Convolutional Neural Networks (CNN) is a popular machine learning method that derives a high-level function from being trained on various visual input examples. This paper contributes to enabling the use of CNN on resource-constrained devices offline, where a trade-off between accuracy, running time and power efficiency is verified. The paper investigates the use of minimum pre-processing methods of input data to identify nonessential computations in the convolutional layers. In this work, Spatial locality of input data is considered along with an efficient pre-processing method to mitigate the accuracy loss caused by the computational re-use approach. This technique was tested on LeNet and CIFAR-10 structures and was responsible for 1.9% and 1.6% accuracy loss while reducing the processing time by 38.3% and 20.9% and reducing the energy by 38.3%, and 20.7%, respectively. The models were deployed and verified on Raspberry Pi 4 B platform using the MATLAB coder to measure time and energy. © 2023 IEEE.

关键词： Convolution

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Optimizing Art Studio Connectivity: A Haversine and Greedy Algorithm Approach for Navigation in Cirebon Indonesia 17

Optimizing Art Studio Connectivity: A Haversine and Greedy A...

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17th International Conference on Telecommunication systems, Services, and Applications, TSSA 2023

作者： Permana, Indra Surya Arlovin, Teguh Hidayat, Taufik Sarief, Ivany Solihin, Hanhan Hanafiah Mulyadi, Cecep Deni Institut Teknologi Dan Kesehatan Mahardika Department of Informatics Engineering Cirebon Indonesia Universitas AMIKOM Department of Computer Engineering Yogyakarta Indonesia Universitas Indonesia Department of Electrical Engineering Jakarta Indonesia Universitas Sangga Buana Faculty of Engineering Department of Electrical Engineering Bandung Indonesia Universitas Sangga Buana Department of Information System Bandung Indonesia Universitas Sangga Buana Faculty of Engineering Bandung Indonesia

ISBN: (纸本)9798350309164

The proposed geographic information system (GIS) provides a systematic approach to locating and connecting art studios, enabling cultural institutions, artists, and students to collaborate and share resources more efficiently. The implementation of a structured GIS and Haversine Formula and Greedy Algorithm can improve the management and connectivity of art studios in Cirebon, fostering connections and collaboration between art studios, artists, and cultural institutions. This research used a greedy algorithm to find the shortest route from user's current location to the destination point, i.e., Art Gallery. The Greedy Algorithm is a problem-solving approach that aims to find an optimal solution by iteratively selecting the best local option. The Haversine formula is used to calculate the distance from each connected node using the haversine formula, which converts latitudes and longitudes from degrees to radians and calculates the differences in latitude and longitude. In implementing the nearest art studio search system, the Haversine Formula combined with Greedy Algorithm can be employed as an alternative for search logic since it can directly calculate the distance from the initial point or user's selected point by utilizing easily identifiable reference points. © 2023 IEEE.

关键词： Studios

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BHJO: A Novel Hybrid Metaheuristic Algorithm Combining the Beluga Whale, Honey Badger, and Jellyfish Search Optimizers for Solving engineering Design Problems

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computer Modeling in engineering & Sciences 2024年第10期141卷 219-265页

作者： Farouq Zitouni Saad Harous Abdulaziz S.Almazyad Ali Wagdy Mohamed Guojiang Xiong Fatima Zohra Khechiba Khadidja Â Kherchouche Department of Computer Science and Information Technology Kasdi Merbah UniversityP.O.Box 30000OuarglaAlgeria Department of Computer Science College of Computing and InformaticsUniversity of SharjahP.O.Box 27272SharjahUnited Arab Emirates Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical EngineeringGuizhou UniversityGuiyang550025China

Hybridizing metaheuristic algorithms involves synergistically combining different optimization techniques to effectively address complex and challenging optimization *** approach aims to leverage the strengths of multiple algorithms,enhancing solution quality,convergence speed,and robustness,thereby offering a more versatile and efficient means of solving intricate real-world optimization *** this paper,we introduce a hybrid algorithm that amalgamates three distinct metaheuristics:the Beluga Whale Optimization(BWO),the Honey Badger Algorithm(HBA),and the Jellyfish Search(JS)*** proposed hybrid algorithm will be referred to as *** this fusion,the BHJO algorithm aims to leverage the strengths of each *** this hybridization,we thoroughly examined the exploration and exploitation capabilities of the BWO,HBA,and JS metaheuristics,as well as their ability to strike a balance between exploration and *** meticulous analysis allowed us to identify the pros and cons of each algorithm,enabling us to combine them in a novel hybrid approach that capitalizes on their respective strengths for enhanced optimization *** addition,the BHJO algorithm incorporates Opposition-Based Learning(OBL)to harness the advantages offered by this technique,leveraging its diverse exploration,accelerated convergence,and improved solution quality to enhance the overall performance and effectiveness of the hybrid ***,the performance of the BHJO algorithm was evaluated across a range of both unconstrained and constrained optimization problems,providing a comprehensive assessment of its efficacy and applicability in diverse problem ***,the BHJO algorithm was subjected to a comparative analysis with several renowned algorithms,where mean and standard deviation values were utilized as evaluation *** rigorous comparison aimed to assess the performance of the BHJOalgorithmabout its counterparts,shedd

关键词： Global optimization hybridization of metaheuristics beluga whale optimization honey badger algorithm jellyfish search optimizer chaotic maps opposition-based learning

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