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ANFIS MPPT Assisted PV Fed DC-DC Switched Z Source Converter for Microgrid applications 7

ANFIS MPPT Assisted PV Fed DC-DC Switched Z Source Converter...

引用

7th International conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Karthika Preethy, V.P. Tharwin Kumar, R. Radhika, P. Nagarajan, Ananthan Mohamed Faizal, A.A. Sasikumar, M. Amrita College of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu Nagercoil India Puducherry Technological University Department of Electrical and Electronics Engineering Puducherry India Mallareddy Engineering College for Women Department of Electrical and Electronics Engineering Hyderabad India Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala Engineering College Department of Electrical and Electronics Engineering Chennai India V v College of Engineering Engineering Faculty Department of Electrical and Electronics Engineering Tamil Nadu India C. Abdul Hakeem College of Engineering & Technology Department of Electrical and Electronics Engineering India

ISBN: (纸本)9798350372816

Photovoltaic (PV) modules are crucial components of contemporary distribution networks, but they have historically been employed primarily to provide profitable, clean, and green energy. An Adaptive Neuro Fuzzy Inference System (ANFIS) is described in this study as a technique for MPP prediction using information on solar interaction and ambient temperature. The proposed technique has the benefits of a quick reaction, overall harmonic distortion discount, more effective utilization of PV units, and straightforward ANFIS algorithm training. An innovative type of large step up DC to DC converter is produced by combining the switched-capacitor cells by a conventional Z-source impedance network. The recommended converter delivers a great voltage gain lacking the limited accountability sequence and does not necessitate an enormous quantity of modules while decreasing a voltage heaviness on the diodes and the control switch to fewer than partial the productivity power. The performance and application of the recommended converter are established by the simulation and experimental findings. The comparison of the controllers shows the superior MPPT effectiveness of ANFIS as 92.3%. © 2024 ieee.

关键词： Fuzzy inference

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Automated Neural Network Design using Genetic Algorithms 24

Automated Neural Network Design using Genetic Algorithms

引用

24th International conference on control Systems and Computer Science, CSCS 2023

作者： Catruna, Andy-Eduard Iancu, David-Traian University Politehnica of Bucharest Faculty of Automatic Control and Computers Bucharest Romania

ISBN: (纸本)9798350313390

With their ability to analyse and learn from complex data, neural networks have emerged as an ubiquitous machine learning tool with applications in many industries. Despite the success of neural networks in various tasks, obtaining the optimal structure for a specific problem is both time-consuming and difficult because of the large number of hyperparameters that need to be properly selected. To address this issue, this work proposes an approach for automating the design of neural networks through the use of genetic algorithms (GAs). More specifically, the proposed GA-based technique aims to find the optimal Convolutional Neural Network (CNN) architecture and learning-related hyperparameters for the problem of image classification. The approach is evaluated on the MNIST dataset, a widely used benchmark for image classification tasks, on which our top performing architecture obtains an accuracy of 99.35%. These results demonstrate the effectiveness of the proposed approach in terms of finding architectures that outperform those designed by human experts and are competitive with state-of-the-art models. The evaluation results are accompanied by a comprehensive analysis of the evolution of hyperparameters within generations and the changes in network architecture over time, providing insights into how the GA explores the search space. The proposed approach is a step forward in the direction of automating the process of neural network design and its results indicate that it can be a valuable tool for researchers. © 2023 ieee.

关键词： Genetic algorithms

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Research on Topology and control of Independent controllable Phase Separation Hybrid Distribution Transformers 7

Research on Topology and Control of Independent Controllable...

引用

7th International conference on Power and Energy applications, ICPEA 2024

作者： Guo, Jiacheng Yuan, Chang Zhu, Baichuan Zhang, Ruiye North China Electric Power University Beijing China

ISBN: (纸本)9798350356113

The Hybrid Distribution Transformer (HDT) combines the main winding of a power frequency transformer used for voltage conversion with a power electronic converter. HDT can utilize the controllable capacity of the converter to achieve other functions while performing voltage conversion. One of the main functions of HDT is to solve the power quality problems of loads. The current power quality issues in the distribution system are reflected in the fact that the three phases are not completely identical. Therefore, the phase independent and controllable power quality management method is more suitable for the current distribution system. The phase separated independent controllable hybrid distribution transformer (SHDT) proposed in this article uses three single-phase converters to solve the power quality problems of each phase separately. Considering the different solutions to voltage and current issues, the mode switching switches are adopted to change the series parallel connection relationship of the converter, achieving two types of compensation functions while independently controlling the phase separation. Based on theoretical analysis, the function of phase independent compensation and the effect of mode switching were verified in the simulation platform. © 2024 ieee.

关键词： Distribution transformers

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Fault detection and fault-tolerant operation of a seven-level inverter

Fault detection and fault-tolerant operation of a seven-leve...

引用

2023 International conference on Power, Instrumentation, Energy and control, PIECON 2023

作者： Naqvi, Aquib Mehdi Tripathi, Pushkar Singh, S.P. Institute of Engineering and Technology Electrical Engineering Department Lucknow India Rajkiye Engineering College Electrical Engineering Department Ambedkaragar India

ISBN: (纸本)9798350399769

applications of multilevel inverters (MLIs) are increasing extensively. Despite many advantages of MLIs, poor reliability of MLIs is a major concern as MLIs consist of a large number of semiconductor switches. Fault-tolerant topologies provide the solution to this problem. In this paper, a fault detection and identification method is presented for a sevenlevel fault-tolerant inverter. This fault detection method is based on monitoring the total harmonic distortion (THD) in output voltage and average voltage of one cycle. After identification of the faulty switch, the switching sequence and switching angles are to be adjusted. The method of fault detection and identification is verified by simulation results. © 2023 ieee.

关键词： Fault detection

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Automatic Vehicle License Plate Recognition Using Lightweight Deep Learning Approach 6

Automatic Vehicle License Plate Recognition Using Lightweigh...

引用

6th Iraqi International conference on Engineering technology and its applications, IICETA 2023

作者： Abdulkhaleq, Ali Hussein Altaher, Ammar Wisam. Saad, Aymen Al-Jawahry, Hassan M. Al-Awsat Technical University Technical College of Management Al-Furat Department of Information Technology Najaf Iraq The Islamic University Faculty of Engineering Najaf Iraq

ISBN: (纸本)9798350303339

Intelligent transportation systems rely heavily on automatic vehicle license plate recognition (AVLPR). This system is required for traffic control, electronic toll collection, and access to parking lots. Due to the complexity and structure of license plate design for each country, especially in Arabic countries, license plate recognition is one of the most difficult recognition problems. Using image processing and deep learning (DL) techniques, the proposed AVLPR system is applied to new Iraqi license plates (LPs). We proposed a Lightweight Convolution Neural Network (LWCNN) in this study. It has four convolutional blocks, each with a batch of Max-pooling and Dropout layers, as well as a Flatten layer and two Dense layers. This architecture is simple, fast, and dependable, with promising classification accuracy that could propel the field forward. The proposed algorithm achieved 98% detection accuracy for the standard new PLs style and 85% training accuracy for digits dataset. © 2023 ieee.

关键词： License plates (automobile)

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Machine Learning-based Anomaly Detection in IOT Sensing Devices for Optimal Security 2

Machine Learning-based Anomaly Detection in IOT Sensing Devi...

引用

2nd International conference on Data Science and Information System, ICDSIS 2024

作者： Karthiga, S. Ravisankar, P. Vijayarajeswari, R. Pushpa, N. Vino, T. Dobhal, Dinesh Srm Institute Of Science And Technology Department Of Computer Science And Applications Chennai Ramapuram India Simats Saveetha College Of Liberal Arts And Sciences Department Of Commerce General Chennai Thandalam India Sona College Of Technology Department Of Information Technology Tamilnadu Salem India R P Sarathy Institute Of Technology Department Of Artificial Intelligence And Data Science Tamil Nadu Salem India Sathyabama Institute Of Science And Technology Department Of Ece Tamil Nadu Chennai India Graphic Era Deemed To Be University Uttarakhand Dehradun India

ISBN: (纸本)9798350381665

The Internet of Things (IoT) is well-known as a new detecting paradigm for interacting with the real world in Industry 4.0. With IoT, major security concern arises in data communication between remote location and the data server. Data obtained from the different sensor devices have to be transmitted securely. Implementing Machine Learning algorithms increases the security as well as the efficiency of the IoT devices. In this research work, MQTT protocol is implemented for data transmission services in Internet of Things enabled devices. The research utilized historical information from a smart manufacturing plant's tracking sensor, control devices, and IoT cameras. The findings of this research work 5rimproved plant efficacy and security, resulting in quicker and more efficient reactions to uncommon incidents. Outcomes indicate a considerable influence on intelligent manufacturing plant effectiveness and security. Advanced detection of anomalies led to quicker and more efficient reactions to odd events, reducing significant occurrences and enhancing safety. Moreover, technique improvement and IoT infrastructure enhanced productivity by minimizing downtime and maximizing resource use. The suggested study compares machine learning-based protection measures to past studies on IoT protection and identifying anomalies in industrial settings, demonstrating their usefulness. Researchers saw a rise of 14% in the detection of anomalies and a 2% drop in false positives after training machine learning models. © 2024 ieee.

关键词： Internet of things

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Design of Long-Term Evolution Based Mobile Edge Computing Systems to Improve 5G Systems 2

Design of Long-Term Evolution Based Mobile Edge Computing Sy...

引用

2nd International conference on Edge Computing and applications, ICECAA 2023

作者： Arun, V. Azhagiri, M. Srm Institute of Science and Technology Tamilnadu Chennai India Srm Institute of Science and Technology Department of Computer Science and Engineering Ramapuram Campus Tamilnadu Chennai India

ISBN: (纸本)9798350347579

Mobile edge computing is an emerging technology that enables mobile devices to access cloud services with reduced latency by moving computing, storage, and network control closer to the network edge. This advancement allows mobile devices to operate for longer periods on a single charge. With the advent of 5G communications, there is increasing interest in exploring the integration of mobile edge computing within existing mobile networks. The proposed work aims to develop a portable 5G computing system that offloads computational tasks to edge servers, thereby reducing latency and improving energy efficiency. The work focuses on designing efficient workload allocation algorithms to optimize the distribution of tasks to the supported servers. By implementing and evaluating a practical mobile-based computing system based on Long-Term Evolution (LTE), this research aims to demonstrate the real-world effectiveness of such mobile edge computing programs, with particular emphasis on reducing delays and enhancing energy efficiency. © 2023 ieee.

关键词： Computation offloading

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Development of a Seven-Level Inverter with Minimized Switch Count for Grid-Integrated Solar PV applications 6

Development of a Seven-Level Inverter with Minimized Switch ...

引用

6th International Youth conference on Radio Electronics, Electrical and Power Engineering, REEPE 2024

作者： Ali, Ahmed Ismail M. Saeed, Mahmoud S. R. Ali, Abdelfatah Shabaan, Mostafa F. Youssef, Abdel-Raheem Mohamed, Essam E. M. Electrical Engineering Department South Valley University Qena83523 Egypt American University of Sharjah Electrical Engineering Department Sharjah United Arab Emirates

ISBN: (纸本)9798350382891

This paper introduces a straightforward 7-level inverter sinusoidal controlled using pulse-width modulation for solar photovoltaic (PV) applications and contemporary inverter manufacturing. The design emphasizes a minimized count of power components, achieving reduced Total Harmonic Distortion (THD) in the output voltage through the integration of compact passive elements to filter the output voltage/current waveforms. In addition, the proposed inverter mitigates the complex control strategy that simplifies the required controller specifications as illustrated in the operation principles and switching strategy. Also, comparative study is enriched to compare the proposed 7-LI with its counterpart ones based-on the required number of elements as well as the number of components for required output-voltage levels, as an effective parameter for inverter selection. The proposed inverter structure has been verified through a grid-tied solar PV system using MATLAB/Simulink for high power-quality grid-integrated PV generation systems. © 2024 ieee.

关键词： DC-DC converters

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MR Meets Robotics: A Review of Mixed Reality technology in Robotics 6

MR Meets Robotics: A Review of Mixed Reality Technology in R...

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6th International conference on Robotics, control and Automation (ICRCA)

作者： Yu, Jiawei Wang, Tengyue Shi, Yunze Yang, Liangjing Zhejiang Univ Zhejiang Univ Univ Illinois Urbana Champaign Inst Haining Peoples R China

ISBN: (纸本)9781665481748

The rising interest in Mixed Reality (MR) technology in robotics and the lack of prior work in the literature of this subject motivate this review paper. Our purpose is to discuss current research and the advancement of MR applications in the context of robotics. Development in modern robots towards a more human-centric role is driven largely by enabling technology including, but not limited to, machine vision, cobots, virtual reality, and more recently, MR technology. The scope encompasses MR technology in various aspects of robotics, namely, robot vision, control and planning, human-robot interaction, multi-user collaborations, and swarm robotics. Through discussions of the benefits and knowledge gaps in contemporary development, the review is expected to provide readers with an in-depth appreciation of the state-of-the-art technology and the possibility of MR technology in robotics.

关键词： mixed reality robotics visualization teleoperation and control

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Variable DC Link control Technique for Maximum Efficiency Point Tracking of Wireless Power Charging applications 2

Variable DC Link Control Technique for Maximum Efficiency Po...

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2nd Asia Power and Electrical technology conference, APET 2023

作者： Ye, Libin Wang, Xiaoqiang Cai, Hui Zhang, Xin Chen, Jing Yang, Wentie Xu, Lin The College of Mechanical and Electrical Engineering China Jiliang University Hangzhou310018 China The College of Electrical Engineering Zhejiang University Hangzhou310058 China Wuhan Second Ship Design and Research Institute Wuhan430000 China

ISBN: (纸本)9798350359428

This paper presents an approach to achieve maximum efficiency point tracking of LCC-C compensated wireless battery charging system by regulating the bus voltage of the front-end PFC stage. By this method, the operating frequency the wireless battery converter is constrained to be close to full resonant frequency over the entire output range. The system always maintains ZPA and ZVS operation to minimize the reactive power and the switching loss. Compared to fixed DC link control method, the system performance can be enhanced over the full load range with maximum efficiency. © 2023 ieee.

关键词： DC-DC converters

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