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16th Annual Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2025

作者： Marangalu, Milad Ghavipanjeh Rehman, Fazal Ur Kurkdjian, Naser Vosoughi Computer Queen's University Dep. Of Electrical and Computer Engineering KingstonON Canada University of L'Aquila Dep. Information Engineering Computer Science and Mathematics L'Aquila Italy San Diego State University Faculty of Electrical and Computer Engineering San DiegoCA92182-0001 United States

ISBN: (纸本)9798331533946

Grid-connected inverters play a pivotal role in integrating renewable energy sources into modern power systems. However, the presence of unbalanced grid conditions poses significant challenges to the stable operation of these inverters. This review paper provides a comprehensive overview of grid-connected inverters and control methods tailored to address unbalanced grid conditions. Beginning with an introduction to the fundamentals of grid-connected inverters, the paper elucidates the impact of unbalanced grid voltages on their performance. Various control strategies, including voltage and current control methods, are examined in detail, highlighting their strengths and limitations in mitigating the effects of grid imbalance. Lastly, the review identifies emerging trends and future research directions in the field, emphasizing the need for innovative solutions to address the evolving challenges posed by unbalanced grid conditions in the context of renewable energy integration. © 2025 IEEE.

关键词： control strategy fault conditions grid-connected inverters Photovoltaic systems

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A Review of Grid-Connected Inverters and Control Methods Under Unbalanced Grid Conditions

A Review of Grid-Connected Inverters and Control Methods Und...

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Power Electronic and Drive Systems and Technologies Conference (PEDSTC)

作者： Milad Ghavipanjeh Marangalu Fazal Ur Rehman Naser Vosoughi Kurkdjian Dep. Of Electrical and Computer Engineering Computer Queen’s University Kingston Ontario Canada Dep. Information Engineering Computer Science and Mathematics University of L’Aquila L’Aquila Italy Faculty of Electrical and Computer Engineering San Diego State University San Diego CA USA

ISBN: (数字)9798331533946

ISBN: (纸本)9798331533953

关键词： Current control Photovoltaic systems Renewable energy sources Technological innovation Reviews Pressing Market research Inverters Power systems Voltage control

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Using A novel noisy deep reinforcement learning approach for detecting the cyberattacks in stored hydrogen fuel based AC-DC networks

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International Journal of Hydrogen Energy 2025年 135卷 457-476页

作者： Oveysikian, Ali Abed, Azher M. Davatgar, Shiva Mosallaei, Behrooz Basem, Ali Habib Ali, Sadek Ahmed, Mohsen Faculty of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran Mechanical Power Technical Engineering Department College of Engineering and Technology Al-Mustaqbal University Hilla Babylon51001 Iraq Department of Electrical Engineering Islamic Azad University Ahvaz Branch Ahvaz Iran The Klipsch School of Electrical and Computer Engineering New Mexico State University Las CrucesNM88003 United States Faculty of Engineering Warith Al-Anbiyaa University Karbala56001 Iraq Dep. of Electrical Engineering Techniques Al-Amarah University College Maysan Iraq Imam Abdulrahman Bin Faisal University P.O. Box 1982 Eastern Province Dammam31441 Saudi Arabia

Rising hydrogenous renewable energy and distributed storage integration in hybrid AC-DC networks present new challenges to grid reliability and security. Existing detection methods struggle with the complex dynamics of these systems, particularly when faced with sophisticated cyber threats. Voltage attacks, capable of causing widespread outages and equipment damage, are a significant threat. This paper proposes a novel deep reinforcement learning (DRL) approach using Ornstein-Uhlenbeck noise for enhanced voltage attack detection. Our approach addresses the limitations of conventional detection methods that suffer from low accuracy and poor convergence in complex hybrid environments. The Noisy Deep Q-Network (NDQN) leverages this noise exploration technique to achieve efficient state space exploration and smoother convergence during training. An advanced attack model specifically designed to target vulnerabilities in stored hydrogen fuel-based AC-DC systems based on hydrogen fuel resources is also presented. The NDQN approach's effectiveness is evaluated in a realistic and complex hybrid AC-DC environment under the proposed attack model. The results demonstrate significant improvements in detection accuracy (62.44 % higher average return compared to traditional DQN) and robustness compared to existing methods. Additionally, the approach helped maintain system integrity while reducing generation from the electrical grid by 42.7 %, leading to substantial cost savings. This work showcases the combined efficacy of the novel attack model and the NDQN approach, offering a promising solution for bolstering power grid security and reliability. © 2025 Hydrogen Energy Publications LLC

关键词： Reinforcement learning

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Interference Estimation via Model-Based Deep Learning in Grant-Free Networks

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IEEE Wireless Communications Letters 2025年

作者： Pereira, Diogo Oliveira, Rodolfo da Costa, Daniel Benevides Kim, Hyong Instituto de Telecomunicações Lisbon1049-001 Portugal Universidade Nova de Lisboa Dep. de Engenharia Electrotécnica e de Computadores Faculdade de Ciências e Tecnologia Caparica2829-516 Portugal Interdisciplinary Research Center for Communication Systems and Sensing Department of Electrical Engineering Dhahran31261 Saudi Arabia Carnegie Mellon University Electrical and Computer Engineering PittsburghPA United States

This paper presents a novel approach for estimating interference distribution parameters in grant-free access networks using a model-based deep learning (DL) framework. Our method integrates the precision of analytical models with the adaptability of deep learning algorithms. Specifically, we employ an analytical model to generate labeled data, which enhances the deep learning model’s ability to estimate interference levels. Through extensive validation, we demonstrate that our approach accurately estimates interference across a broad range of scenarios, including operating regions not covered during the model’s training. Moreover, our method also estimates the spatial density of interfering nodes, making it a valuable tool for interference management in grant-free access networks. This methodology offers a robust solution for improving interference estimation accuracy, aiding decision-making at the Medium Access Control (MAC) and physical layers in grant-free access schemes. © 2025 IEEE. All rights reserved.

关键词： Contrastive Learning

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Robotics and Automation Activities in China

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IEEE ROBOTICS & AUTOMATION MAGAZINE 2015年第3期22卷 14-17页

作者： Qiao, Hong Li, Rui Yin, Peijie Dep. of Electrical and Computer Engineering University of Tehran Tehran Iran

Reports on RASS Society activity in China.

关键词： Technology transfer

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LAD: A routing algorithm to prolong the lifetime of wireless sensor networks

LAD: A routing algorithm to prolong the lifetime of wireless...

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IEEE International Conference on Networking, Sensing and Control

作者： Mollanoori, Mohsen Charkari, Nasrollah M. Dep. of Electrical and Computer Engineering Tarbiat Modares University

ISBN: (纸本)9781424416851

As nodes in wireless sensor networks are usually supplied by a simple non rechargeable battery, the energy available in these nodes is very limited. Moreover, this limited energy is mostly consumed in transmission and reception of data. As transmission and reception is highly affected by routing algorithms, designing a proper routing algorithm will prolong the network lifetime. In this paper we proposed a novel routing algorithm, called Locality-Aware Diffusion (LAD) that leverages spatial locality of sensed data in sensor networks to reduce energy consumption and prolong the network lifetime. The proposed algorithm is an extension to Shortest Path Tree which is a common approach in routing algorithms. Simulation results show the validity and effectiveness of the proposed algorithm.

关键词： Routing algorithms

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Ubiquitous anotation and a collaborative open mobile augmented reality

Ubiquitous anotation and a collaborative open mobile augment...

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2012 IEEE Global engineering Education Conference, EDUCON 2012

作者： Martín, Sergio Lorenzo, Emilio Julio Rodriguez-Artacho, Miguel Ros, Salvador Hernández, Roberto Castro, Manuel Electrical and Computer Engineering Dep. UNED Languages and Systems Dep. Spain

Mobile learning is impacting education using different technologies and methodologies. This article introduces two relevant learning experiences at UNED where new mobile technologies and pedagogical methodologies were applied. The first experience was based on a ubiquitous annotation system, while the second one used augmented reality to create an engaging mobile collaborative and open environment where students were learners and teachers at the same time, publishing content and learning from the content published by other peers. © 2012 IEEE.

关键词： Augmented reality

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Power-Based Method for Computation of Induction Motor Per-Phase Equivalent Circuit Parameter Values Using Nameplate and Technical Catalogue Data

Power-Based Method for Computation of Induction Motor Per-Ph...

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2022 International Conference on electrical Machines, ICEM 2022

作者： Ferreira, Fernando J. T. E. Dep. of Electrical and Computer Engineering Coimbra Portugal

ISBN: (数字)9781665414326

ISBN: (纸本)9781665414326

This paper proposes and validates a power-based numerical search method for computation of the per-phase equivalent circuit parameter values of commercial IEC-compliant three-phase squirrel-cage induction motors using nameplate and technical catalogue data. For five different motors, the simulated input active power, total losses, input reactive power, stator current, efficiency, and power factor, at 100%, 75% and 50% load, using the equivalent circuit with the computed parameter values, are compared to the reference values obtained directly from the motor nameplate and technical catalogue data. This method leads to a relatively low percentage absolute difference between the simulated and reference values for a motor operating range between no-load and full load, regardless of the motor rated power. It is a fast, sufficiently accurate, and simple-to-apply method to obtain the equivalent circuit parameter values for steady-state simulation of line-operated three-phase induction motors, having relatively low sensitivity to numerical rounding, tolerances, and uncertainties associated with the values stated on the nameplate and in the technical catalogues of IEC-compliant motors. © 2022 IEEE.

关键词： Energy efficiency

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Encrypting Controller using Fully Homomorphic Encryption for Security of Cyber-Physical Systems

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IFAC-PapersOnLine 2016年第22期49卷 175-180页

作者： Kim, Junsoo Lee, Chanhwa Shim, Hyungbo Cheon, Jung Hee Kim, Andrey Kim, Miran Song, Yongsoo ASRI Dep. of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of Dep. of Mathematical Sciences Seoul National Univ. Seoul Korea Republic of

In order to enhance security of cyber-physical systems, it is important to protect the signals from sensors to the controller, and from the controller to the actuator, because the attackers often steal and compromise those signals. One immediate solution could be encrypting the signals, but in order to perform computation in the controller, they should be decrypted before computation and encrypted again after computation. For this, the controller keeps the secret key, which in turn increases vulnerability from the attacker. In this paper, we introduce the fully homomorphic encryption (FHE), which is an advanced cryptography that has enabled arithmetic operations directly on the encrypted variables without decryption. However, this also introduces several new issues that have not been studied for conventional controllers. Most of all, an encrypted variable has a finite lifespan, which decreases as an arithmetic operation is performed on it. Our solution is to run multiple controllers, and orchestrate them systematically. Also, in order to slow down the decrease of the lifespan, a tree-based computation of sequential matrix multiplication is introduced. We finally demonstrate the effectiveness of the proposed algorithm with quadruple water tank example. © 2016

关键词： Cryptography Controllers Cyber Physical System Embedded systems Water tanks Arithmetic operations Conventional controllers Finite lifespan Fully homomorphic encryption Ho momorphic encryptions MAtrix multiplication Multiple controllers Security

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Analytic modeling and metaheuristic PID control of a neutral time delay test case central heating system

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WSEAS Transactions on Systems and Control 2008年第11期3卷 967-981页

作者： Koumboulis, Fotis N. Kouvakas, Nikolaos D. Paraskevopoulos, Paraskevas N. Dep. of Automation Halkis Institute of Technology 34400 Psahna Evoia Greece Dep. of Electrical and Computer Engineering National Technical University of Athens 15780 Zographou Athens Greece

In the present paper, the analytic mathematical model of a test case central heating system is developed in the form of a nonlinear neutral time delay model with time varying delay which in turn is simplified to a neutral time delay model with constant time delay. In the process it is shown that the influence of the delay is significant, thus its incorporation to the model is of high importance while the constant delay approximation imposes only small error. A PID controller is derived to control the temperature of a room, which is modeled as a first order differential equation. The controller parameters are evaluated using a metaheuristic algorithm.

关键词： Three term control systems

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