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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Pascal Lingom Emmanuel Agamloh Annette Von Jouanne Alex Yokochi Joseph Song-Manguelle Roland Unruh Dept. Electrical and Computer Engineering Baylor University Waco TX Dept. Mechanical Engineering Baylor University Waco TX Dept. Electrical and Computer Engineering University of Quebec Trois-Rivieres Power Electronics/Electrical Drives Paderborn University Paderborn Germany

ISBN: (数字)9798350376067

ISBN: (纸本)9798350376074

This paper investigates inter-bridge power-sharing capabilities for a 5-level cascaded H-bridge inverter (CHBI) operation using different redundant state combinations with the conventional phase-disposition pulse-width-modulation (PD-PWM) technique. It is demonstrated that redundant switching states can be chosen to distribute the power among different modules evenly or unevenly (50% imbalance is possible). As a result, the desired power distribution between the modules with the conventional PD-PWM method is achievable by choosing appropriate redundant switching states without tuning the modulation stage. The proposed method combines balanced power and switching loss distribution across all modulation indices in a single fundamental period. Theoretical analyses of the power balance capability of a 5-level CHBI under the conventional PD-PWM method, followed by PLECS-based simulation results, are presented to demonstrate the advantages of the proposed switching method. Finally, experimental results were provided from a 5-level SiC MOSFET-based CHB inverter Lab setup controlled by a Typhoon HIL 402 device to validate the balance power-sharing method.

关键词： Tropical cyclones Silicon carbide Simulation Modulation Switching loss Switches Inverters Real-time systems Topology Tuning

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Propagation Channel Characterization of 28 GHz and 36 GHz Millimeter-Waves for 5G Cellular Networks

Propagation Channel Characterization of 28 GHz and 36 GHz Mi...

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2022 International Conference on Emerging Trends in electrical, Control, and Telecommunication engineering, ETECTE 2022

作者： Zafar, Saima Saleem, Sheraz National University of Computer and Emerging Sciences FAST-NU Dept. of Electrical Engineering Lahore Pakistan

ISBN: (纸本)9781665492423

Recent advances in 5G wireless technologies calls for larger bandwidth, which motivates design engineers and researchers to explore a higher frequency spectrum than the existing one spectrum of below 6 GHz. Millimeter-wave (mm-Wave) is viewed as the most suitable spectrum to satisfy the constraints for 5G and beyond cellular systems. However, it is observed that enabling mm-Wave can bring several issues like path loss, fading, scattering, coverage inadequacy, penetration loss, and signal attenuation problems. Therefore, augmenting the propagation path is important to indicate the behavior of the wireless channel prior to its deployment in the real-world environment. For this reason, we aim to analyze the two most promising mm-Wave frequency bands;28 GHz and 36 GHz. We have selected the most popular Close-In (CI) & Floating-Intercept (FI) propagation path loss models that helped us to design an urban microcell line of sight (LOS) scenario. Finally, the overall network performance has been investigated by evaluating average user throughput, average cell throughput, cell-edge user throughput, peak user throughput, and spectral capacity. Our results show that the CI model performs much better than the FI model due to its high accuracy, simplicity of implementation, robustness, and single-factor dependency. © 2022 IEEE.

关键词： Millimeter waves

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Data-Enhanced Prediction with Decomposition and Amplitude-Aware Permutation Entropy in Distributed Computing Systems

Data-Enhanced Prediction with Decomposition and Amplitude-Aw...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Haitao Yuan Qinglong Hu Jing Bi Wei Zhang Jia Zhang MengChu Zhou School of Automation Science and Electrical Engineering Beihang University Beijing China Dept. of Computer Science City University of Hong Kong Hong Kong China College of Computer Beijing University of Technology Beijing China Dept. of Computer Science and Engineering University of Connecticut Storrs CT USA Dept. of Computer Science Southern Methodist University Dallas TX USA Dept. of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

In recent years, distributed computing has wit-nessed widespread applications across numerous organizations. Predicting workload and computing resource data can facilitate proactive service operation management, leading to substantial improvements in quality of service and cost efficiency. However, these data often exhibit non-linearity, high volatility, and inter-dependencies across different categories, presenting challenges for accurate forecasting. Consequently, there is a critical need to develop a method that thoroughly and comprehensively analyzes all available data to forecast future trends effectively. This work proposes a novel integrated data-enhanced prediction model named SVI for achieving high-accuracy workload prediction in distributed computing systems. SVI employs the Savitzky-Golay filter and variational mode decomposition for feature processing, whose features are subsequently utilized by Informer for multivariate joint analysis of the enhanced data, achieving high-precision prediction. Ablation and comparative experiments with advanced prediction models are conducted on the Google cluster trace and other typical datasets. Realistic data-driven results indicate that SVI improves the prediction accuracy by 35.4% compared to the original Informer, with each module contributing to the performance enhancement. Furthermore, compared with Autoformer, SVI enhances the prediction accuracy of workload, CPU, and memory by 62.5%, 65.6%, and 69.1 %, respectively.

关键词： Training Accuracy Costs Computational modeling Memory management Organizations Quality of service Predictive models Market research Internet

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Thermal Crosstalk Rejection for Scaling Quantum-Photonic Systems-on-Chip with Monolithically Integrated Electronics

Thermal Crosstalk Rejection for Scaling Quantum-Photonic Sys...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Kramnik, D. Ramesh, A. Wang, I. Cabanillas, J.M. Fargas Buchbinder, S. Zarkos, P. Adamopoulos, C. Kumar, P. Popovic, M.A. Stojanovic, V. Department of Electrical Engineering and Computer Sciences UC Berkeley BerkeleyCA94720 United States Center for Photonic Communication and Computing Dept. of Electrical and Computer Eng. Northwestern University EvanstonIL60208 United States Department of Electrical and Computer Engineering Photonics Center Boston University BostonMA02215 United States

We demonstrate integrated feedback control of a C-band microring quantum-correlated photon-pair source fabricated in a monolithic electronics-photonics platform that maintains lock in the presence of nearby on-die the... 详细信息

ISBN: (纸本)9781957171258

关键词： System-on-chip

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Load Frequency Control Scheme Controller Design for Isolated and Conventional Two Area Power Systems 4

Load Frequency Control Scheme Controller Design for Isolated...

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4th International Conference on Advances in electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Soni, Mukesh Mittal, Amit Soomar, Arsalan Muhammad Sahoo, Pooja Markam, Karuna Singh, Shweta Dr. D.Y. Patil Vidyapeeth School of Science and Technology Pune India Dept. of Allied Sciences Bhimtal India GdanskUniversity of Technology Electrical and Control Engineering Gdansk Poland Madhav Institute of Tech. and Science Dept. of Electronics Engineering Gwalior India Ies College of Technology Department of Electronic and Comm. Bhopal India

ISBN: (纸本)9798350343670

The adaptive optimal control approach for the isolated and interconnected power systems, AGC scheme using PI technique is presented in this research. Due to the policy evaluation and policy improvement phases, which analyze and update the cost and control policy, the PI approach can provide adaptive optimal control without using all system states. This is possible through policy evaluation and improvement. An adaptive optimal control strategy based on the PI methodology may be model-free. To complete this work, a comparison of the PI-based and LQR-based schemes efficiency is needed. The adaptive optimum control approach's efficiency has also been studied following several parameter change scenarios. Simulations show that the PI-based adaptive optimum control approach surpasses the LQR-based framework in effectiveness © 2024 IEEE.

关键词： AGC LFC Linear Quadratic Regulator (LQR) LQR Optimal Control Power Systems

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Connectivity Preserving Anonymization of Smart Grid Network Configurations

Connectivity Preserving Anonymization of Smart Grid Network ...

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2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2022

作者： Nicol, David M. University of Illinois Urbana-Champaign Dept. of Electrical and Computer Engineering UrbanaIL United States

ISBN: (数字)9781665432542

ISBN: (纸本)9781665432542

We describe a method where a utility can anonymize network device configurations and upload them to a remote service provider who analyzes connectivity (oblivious to the anonymization) and returns the results in anonymized coordinates to the utility, where they are de-anonymized. The approach has application for sharing problematic configurations with vendors, for cloud-based services that analyze connectivity and detect problems, and for connectivity of the sort regulated by NERC-CIP requirements. © 2022 IEEE.

关键词： Smart power grids

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P-11.7: Optimizing Chip Sidewall Inclined Angle and Thickness for Enhanced Light Extraction Efficiency in AlGaN-based Deep Ultraviolet Micro-LEDs

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SID Symposium Digest of Technical Papers 2024年第S1期55卷 1309-1311页

作者： Juan Wang Byung-Ryool Hyun Zhaojun Liu Dept. of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China

In this paper, we systematically optimized the p-type layers thickness and sidewall inclined angle of flip-chip AlGaN-based deep ultraviolet Micro-LEDs using finite difference time-domain (FDTD) method, aiming to maximize light extraction efficiency (LEE). It was found that due to the reflection of electrodes, variation in the thickness of p-AlGaN and p-GaN causes oscillations in the light extraction efficiency, which is caused by destructive interference and constructive interference. Additionally, we found that a 40° sidewall inclination angle yields the maximum LEE, with a 40% enhancement over the vertical sidewall. These simulation results present potential avenues for improving the LEE of DUV Micro-LEDs.

关键词： Deep Ultraviolet Micro-LEDs Light Extraction Efficiency Inclined Angle Thickness

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Real-time Vehicle Count, Speed Estimation and Number Plate Detection using CCTV Footage 1

Real-time Vehicle Count, Speed Estimation and Number Plate D...

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1st International Conference on Cognitive Computing and engineering Education, ICCCEE 2023

作者： Gaikwad, P.S. Chaudhari, Pratik Bhole, Pragati Girhe, Vinayak Karekar, Aniruddh All India Shri Shivaji Memorial Society's Institute of Information Technology Pune Dept. of Computer Engineering Pune India

ISBN: (纸本)9798350332803

The number of vehicles is steadily rising right now, which causes an increase in traffic accidents and crime. The younger generations are still engaging in reckless driving, despite the fact that the government has implemented legislation and traffic regulations to lower the number of accidents and fatalities on the roads. As a result, it is critical to implement. An automated system to keep a watch on the rapid vehicles and take subsequent actions. The primary goal of the study is to develop the system in practice using the kNN, Pytesseract that is currently available. This model first detects the presence of cars, then calculates their speeds, and lastly decodes the number plates of the fast-moving automobiles. The report offers an analysis of the effectiveness of the implemented method via comparisons using various video datasets. © 2023 IEEE.

关键词： Target tracking

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Comparative Analysis of Particle Swarm Optimization and Genetic Algorithm Approaches for Electricity Cost Optimization in Residential Energy Management System

Comparative Analysis of Particle Swarm Optimization and Gene...

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International Conference on electrical, computer and Communication engineering (ECCE)

作者： Tanjima Akter Mukta Tahsin Nawroj Mahmuda Haque Maliha Dept. of Electrical & Electronic Engineering Chittagong University of Engineering & Technology Chattogram Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

In order to meet the growing demand for energy and support sustainable development worldwide, renewable and resource distribution have recently emerged. Cost-effective integration of these resources is accomplished through the deployment of an energy management system (EMS). The stability and energy security of power networks may be impacted by the intermittent nature of solar energy. This research presents an optimization-based home energy management system that focuses on the efficient sizing of PV panels and battery storage to minimize electricity bill using Particle Swarm Optimization (PSO). Optimizing load schedules with the GA algorithm aims to reduce electric bills by efficiently managing and shifting energy consumption to off-peak hours when tariff rates are lower. The simulation results from the two approaches are then compared. Block rate tariffs in the PSO algorithm and time-of-use (ToU) tariffs in the Genetic algorithm (GA) technique utilized to estimate the cost of electricity. Finally, the simulation results from the two approaches are then compared. The PSO based EMS was found effective to minimize the residential electricity bill consequently. As the electricity price rate significantly changes, the optimization based PSO technique was found effective and can minimize the residential electricity bill up to 64.72% consequently.

关键词： Renewable energy sources Costs Electricity Simulation Tariffs Solar energy Real-time systems Energy management systems Particle swarm optimization Genetic algorithms

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A simplified hybrid model for state of charge estimation using 1-D Kalman filter and Coulomb counting

A simplified hybrid model for state of charge estimation usi...

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Annual Conference of Industrial Electronics Society

作者： Kritika Garg Rahul Sarker Aaqib Ahmad Mehakpreet Kaur A. V. Ravi Teja Dept. of Electrical Engineering IIT Ropar Rupnagar India Dept. of Computer Science Engineering PU Patiala India

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

This document is a model with an accurate estimation of the battery’s State Of Charge (SOC), which is pivotal for prime performance and optimal lifespan of the rechargeable batteries. Though traditional methods, like Open Circuit Voltage (OCV) and Coulomb Counting (CC), are advantageous, they suffer from several limitations, such as sensitivity to temperature changes, frequent calibration, ageing effects, and measurement inaccuracies. This paper proposes 1-D Kalman Filter (1-D HKF) with an approach that incorporates the OCV and CC results into the state space model for better and more accurate SOC estimation. So, the model is called 1-D HKF or Hybrid Kalman filter that, influenced the long-term stability and estimation accuracy of CC and the accuracy of OCV at specific points to get over the individual limitations. The model trained by 1-D HKF adapts itself and adjusts the gain based on the uncertainties of each measured value to ensure optimal value information. So, We evaluate the performance of the 1-D HKF versus the traditional methods Kalman Filter using examples and exploratory data. The proposed approach illustrates significantly improved accuracy and robustness across various operating conditions, including varying temperatures and discharge rates.

关键词： Temperature measurement Adaptation models Accuracy Voltage measurement Estimation Mathematical models Data models State of charge Kalman filters Integrated circuit modeling

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