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A decentralized power injection-based approach for voltage imbalance mitigation in three-phase distribution networks

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Scientific Reports 2025年第1期15卷 1-21页

作者： Tsobze, Saatong Kenfack Mbasso, Wulfran Fendzi Harrison, Ambe Khishe, Mohammad Dagal, Idriss Jangir, Pradeep Smerat, Aseel Al-Gahtani, Saad F. Elbarbary, Z.M.S. Unité de Recherche d’Automatique et d’Informatique Appliquée I.U.T. Fotso Victor University of Dschang P.O. Box 134 Bandjoun Cameroon Technology and Applied Sciences Laboratory U.I.T. of Douala University of Douala P.O. Box 8689 Douala Cameroon Department of Biosciences Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai 602 105 India Department of Electrical and Electronics Engineering College of Technology (COT) University of Buea P.O. Box Buea 63 Buea Cameroon Department of Electrical Engineering Imam Khomeini Naval Science University of Nowshahr Nowshahr Iran Beykent University Istanbul Turkey University Centre for Research and Development Chandigarh University Gharuan Mohali 140413 India Innovation Center for Artificial Intelligence Applications Yuan Ze University Taoyuan 320315 Taiwan Department of Electrical and Electronics Engineering J.J. College of Engineering and Technology Tamilnadu Tiruchirappalli India Applied Science Research Center Applied Science Private University Amman 11937 Jordan Faculty of Educational Sciences Al-Ahliyya Amman University Amman 19328 Jordan Centre for Research & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura 1404010 India Computer Technologies Engineering Mazaya University College Nasiriyah Iraq Electrical Engineering Department Faculty of Engineering King Khalid University Abha Saudi Arabia Department of Electrical Engineering College of Engineering King Khalid University P.O. Box 394 KSA Abha 61421 Saudi Arabia Center for Engineering and Technology Innovations King Khalid University Abha 61421 Saudi Arabia

This voltage imbalance in four-wire, three-phase distribution networks gives rise to negative-sequence and zero-sequence voltage components which increases the total apparent power received from the network. This also increases the energy losses from the network. Traditional methods employed for load compensation provide partial fixes at the local area without any form of system-wide solution. This work presents a new decentralized control strategy for the inverter of a photovoltaic-based three-phase power source (DPS) aimed at instantaneously correcting phase voltage imbalances. The method does not require load current measurement because it depends entirely on real-time voltage measurements at the point of common coupling (PCC). The capability to mitigate the unbalance depends on the available power of the DPS. To test how effective the proposed method is, simulations have been conducted using MATLAB/SIMULINK on a distribution network with a four-leg inverter connected to a line with cascading single and three-phase loads, where a four-leg inverter enables independent phase control and mitigation of neutral current disturbances. The results show that this control enables the comparison of balancing for three-phase powers with a 96.4% improvement. The phase-to-phase voltage deviation was also reduced by around 8 V (3.6% of nominal voltage). Furthermore, the total harmonic distortion (THD) of the output current from the inverter did not rise about 3.75%, hence improving the power quality. Its real-time applicability in decentralized renewable energy integration is possible due to the method’s effectiveness in reducing voltage imbalances even when network conditions are extremely distorted. © The Author(s) 2025.

关键词： Decentralized power injection Photovoltaic system Power quality Three-Phase inverter Voltage imbalance

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Data-Driven Design of High-Curie Temperature Full-Heusler Alloys for Spintronic Applications

SSRN

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SSRN 2024年

作者： Ho, Thi H. Nguyen, Quynh Anh T. Tien, Tran Bao Kawazoe, Yoshiyuki Bui, Viet Q. University of Ulsan Korea Republic of Laboratory for Computational Physics Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City Viet Nam Faculty of Mechanical - Electrical and Computer Engineering School of Technology Van Lang University Ho Chi Minh City Viet Nam Advanced Institute of Science and Technology The University of Danang 41 Le Duan Danang Viet Nam Department of Academic Affairs The University of Danang 41 Le Duan Danang Viet Nam New Industry Creation Hatchery Center Tohoku University Sendai980-8579 Japan School of Physics Institute of Science Suranaree University of Technology 111 University Avenue Nakhon Ratchasima30000 Thailand SRM Institute of Science and Technology Tamil Nadu Kattankulathur603203 India

In this study, we employ density functional theory (DFT) and subgroup discovery (SGD) to explore the structural and magnetic properties of full cubic Heusler compounds, with a particular emphasis on their Curie temperatures (Tc) and magnetic stability. Our comprehensive examination of 2,904 structures across both L21 and Xα phases identifies configurations that exhibit both structural stability and superior magnetic properties. Notable among these, compounds such as Co2FeSi, Co2FeAl, and Cr2VGe exhibit remarkable magnetic stability, maintaining their ferromagnetic properties well above room temperature. Co2FeSi displays a substantial magnetic moment of 5.49 μB and maintains its ferromagnetic properties up to a Curie temperature of 992 K, underscoring its suitability for high-temperature applications. Similarly, Co2FeAl, with a magnetic moment of 4.72 μB, transitions to a paramagnetic state at a higher temperature of 1099 K, demonstrating enhanced thermal durability. Moreover, Cr2VGe, notable for its robust magnetic moment of 2.81 μB, retains its ferromagnetic characteristics until an exceptional 2412 K, making it extremely valuable for thermally intensive environments. These findings underscore the potential of these materials in developing durable and efficient spintronic devices that operate under extreme thermal conditions. By mapping the interplay between electronic structure and magnetic properties, our study provides a predictive framework for optimizing the performance of spintronic materials. © 2024, The Authors. All rights reserved.

关键词： Ternary alloys

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Retraction Note: An adaptive QoS computation for medical data processing in intelligent healthcare applications

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Neural Computing and Applications 2024年第17期36卷 10381-10381页

作者： Sodhro, Ali Hassan Malokani, Abdul Sattar Sodhro, Gul Hassan Muzammall, Muhammad Zongwei, Luo Electrical Engineering Department Sukkur IBA University Sukkur Pakistan IDA-Computer and Information Science Department Linkoping University Linköping Sweden Department of Biomedical Engineering Kyunghee University South Korea Suwon Korea Department of Physics Shah Abdul Latif University Khairpur Mirs Pakistan Department of Computer Science Bahria University Islamabad Pakistan Shenzhen Key Laboratory of Computational Intelligence Department of the Computer Science and Engineering Southern University of Science and Technology Shenzhen China

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EXTENDED ANALYSIS OF DATA CLEANING FOR electrical ENERGY CONSUMPTION DATA OF PUBLIC BUILDINGS

EXTENDED ANALYSIS OF DATA CLEANING FOR ELECTRICAL ENERGY CON...

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The 12th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2020)

作者： D. I. Jurj A. Polycarpou L. Czumbil A. G. Berciu M. Lancrajan D. Barar D. D. Micu Electrical Engineering Department Technical University of Cluj-Napoca Cluj-Napoca Romania Department of Electrical and Computer Engineering and Informatics Frederick University Nicosia Cyprus Applied Computational Intelligence Babeș-Bolyai University Cluj-Napoca Romania

In the past years both companies and academics communities pulled their efforts in generating input that consist in new abstractions, interfaces, approaches for scalability and crowdsourcing techniques. Quantitative and qualitative methods were created with the scope of error reduction and were covered in multiple surveys and overviews in order to cope with outlier detection. The aim of tis paper is to provide an outlier analysis over the consumption data of twelve public buildings from the Technical University of Cluj-Napoca, collected during an EU 2020 Horizon project.

关键词： building management systems data handling power consumption power engineering computing crowdsourcing

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Advanced numerical modeling for nonlinear responses of sandwich multiphase composite plates with viscoelastic damping core

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Advances in engineering Software 2025年 208卷

作者： Ho-Nam Vu Duy-Khuong Ly Umut Topal Tan Nguyen T. Nguyen-Thoi Faculty of Civil Engineering School of Technology Van Lang University Ho Chi Minh City Viet Nam Laboratory for Computational Mechanics Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City Viet Nam Department of Civil Engineering Faculty of Technology Karadeniz Technical University Trabzon Turkey Smart Computing in Civil Engineering Research Group Faculty of Civil Engineering Ton Duc Thang University Ho Chi Minh City Vietnam Laboratory for Applied and Industrial Mathematics Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City Viet Nam Faculty of Mechanical-Electrical and Computer Engineering School of Technology Van Lang University Ho Chi Minh City Viet Nam

This study introduces an advanced numerical model for the nonlinear dynamic analysis of sandwich multiphase composite plates composed of carbon nanotubes (CNT), carbon fibers, and epoxy, featuring a viscoelastic core modeled using the Golla–Hughes–McTavish (GHM) method. The proposed framework uniquely combines the Cell-Based Smoothed Discrete Shear Gap Method (CS-DSG3) with the sinusoidal–zigzag shear deformation theory, pioneering their integration to improve layerwise modeling and viscoelastic damping analysis. The sinusoidal–zigzag theory effectively captures the continuous in-plane displacement distributions, yielding superior predictions of the layered structure’s mechanical response compared to classical theories. By incorporating the von Kármán displacement–strain relationship, the model effectively captures the passive damped dynamic behavior of viscoelastic core plate under large deformations. The Newmark time integration scheme and Picard’s methods are employed to efficiently solve the resulting nonlinear equations of motion at each time step. Validation against benchmark studies demonstrates the model’s accuracy and reliability in capturing the complex dynamic responses of laminated systems. A comprehensive parametric investigation further explores the impact of material properties, including the volume fractions and configurations of CNTs and carbon fibers, on the nonlinear dynamic behavior. These advancements position the model as a computationally efficient and high-fidelity tool for analyzing the nonlinear dynamics of complex laminated composite structures.

关键词： Carbon nanotubes (CNT) Cell-Based Smoothed Discrete Shear Gap Method Laminated multiphase composite plates Nonlinear dynamic analysis Sinusoidal–zigzag theory Viscoelastic core

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An invitation to the sample complexity of quantum hypothesis testing

arXiv

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arXiv 2024年

作者： Cheng, Hao-Chung Datta, Nilanjana Liu, Nana Nuradha, Theshani Salzmann, Robert Wilde, Mark M. Department of Electrical Engineering National Taiwan University Taipei106 Taiwan Quantum Computing Center New Taipei City236 Taiwan Physics Division National Center for Theoretical Sciences Taipei106 Taiwan Department of Applied Mathematics and Theoretical Physics University of Cambridge Wilberforce Road CambridgeCB3 0WA United Kingdom Institute of Natural Sciences School of Mathematical Sciences MOE-LSC Shanghai Jiao Tong University Shanghai200240 China Shanghai Artificial Intelligence Laboratory Shanghai China University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai200240 China School of Electrical and Computer Engineering Cornell University IthacaNY14850 United States Université de Lyon Inria ENS Lyon UCBL LIP LyonF-69342 Cedex 07 France

Quantum hypothesis testing has been traditionally studied from the information-theoretic perspective, wherein one is interested in the optimal decay rate of error probabilities as a function of the number of samples of an unknown state. In this paper, we study the sample complexity of quantum hypothesis testing, wherein the goal is to determine the minimum number of samples needed to reach a desired error probability. By making use of the wealth of knowledge that already exists in the literature on quantum hypothesis testing, we characterize the sample complexity of binary quantum hypothesis testing in the symmetric and asymmetric settings, and we provide bounds on the sample complexity of multiple quantum hypothesis testing. In more detail, we prove that the sample complexity of symmetric binary quantum hypothesis testing depends logarithmically on the inverse error probability and inversely on the negative logarithm of the fidelity. As a counterpart of the quantum Stein’s lemma, we also find that the sample complexity of asymmetric binary quantum hypothesis testing depends logarithmically on the inverse type II error probability and inversely on the quantum relative entropy, provided that the type II error probability is sufficiently small. We then provide lower and upper bounds on the sample complexity of multiple quantum hypothesis testing, with it remaining an intriguing open question to improve these bounds. The final part of our paper outlines and reviews how sample complexity of quantum hypothesis testing is relevant to a broad swathe of research areas and can enhance understanding of many fundamental concepts, including quantum algorithms for simulation and search, quantum learning and classification, and foundations of quantum mechanics. As such, we view our paper as an invitation to researchers coming from different communities to study and contribute to the problem of sample complexity of quantum hypothesis testing, and we outline a number of open direct

关键词： Errors

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Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition

arXiv

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arXiv 2023年

作者： de Franca, F.O. Virgolin, M. Kommenda, M. Majumder, M.S. Cranmer, M. Espada, G. Ingelse, L. Fonseca, A. Landajuela, M. Petersen, B. Glatt, R. Mundhenk, N. Lee, C.S. Hochhalter, J.D. Randall, D.L. Kamienny, P. Zhang, H. Dick, G. Simon, A. Burlacu, B. Kasak, Jaan Machado, Meera Wilstrup, Casper La Cava, W.G. Federal University of ABC Santo Andre Brazil Evolutionary Intelligence Group Centrum Wiskunde & Informatica Science Park 123 Amsterdam Netherlands Computational Health Informatics Program Boston Children's Hospital Harvard Medical School Boston United States University of Applied Sciences Upper Austria Hagenberg Austria Center for Computational Astrophysics Flatiron Institute Department of Astrophysical Sciences Princeton University United States LASIGE Faculdade de Ciências Universidade de Lisboa Lisboa Portugal Computational Engineering Division Lawrence Livermore National Laboratory Livermore United States University of Utah Department of Mechanical Engineering Utah United States Meta FAIR France Victoria University of Wellington School of Engineering and Computer Science New Zealand University of otago Department of Information Science New Zealand Institut für Angewandte Physik Universität Tübingen Max Planck Institute for Intelligent Systems Tübingen Germany Abzu AI Orient Plads 1 Nordhavn 2150 Denmark

Symbolic regression searches for analytic expressions that accurately describe studied phenomena. The main attraction of this approach is that it returns an interpretable model that can be insightful to users. Historically, the majority of algorithms for symbolic regression have been based on evolutionary algorithms. However, there has been a recent surge of new proposals that instead utilize approaches such as enumeration algorithms, mixed linear integer programming, neural networks, and Bayesian optimization. In order to assess how well these new approaches behave on a set of common challenges often faced in real-world data, we hosted a competition at the 2022 Genetic and Evolutionary Computation Conference consisting of different synthetic and real-world datasets which were blind to entrants. For the real-world track, we assessed interpretability in a realistic way by using a domain expert to judge the trustworthiness of candidate models. We present an in-depth analysis of the results obtained in this competition, discuss current challenges of symbolic regression algorithms and highlight possible improvements for future competitions. Copyright © 2023, The Authors. All rights reserved.

关键词： Machine learning

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Traceable random numbers from a nonlocal quantum advantage

arXiv

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arXiv 2024年

作者： Kavuri, Gautam A. Palfree, Jasper Reddy, Dileep V. Zhang, Yanbao Bienfang, Joshua C. Mazurek, Michael D. Alhejji, Mohammad A. Siddiqui, Aliza U. Cavanagh, Joseph M. Dalal, Aagam Abellán, Carlos Amaya, Waldimar Mitchell, Morgan W. Stange, Katherine E. Beale, Paul D. Brandão, Luís T.A.N. Booth, Harold Peralta, René Nam, Sae Woo Mirin, Richard P. Stevens, Martin J. Knill, Emanuel Shalm, Lynden K. Department of Physics University of Colorado BoulderCO80309 United States The National Institute of Standards and Technology BoulderCO80305 United States Quantum Information Science Section Computational Sciences and Engineering Division Oak Ridge National Laboratory Oak RidgeTN37831 United States Joint Quantum Institute National Institute of Standards and Technology University of Maryland 100 Bureau Drive GaithersburgMD20899 United States Center for Quantum Information and Control University of New Mexico AlbuquerqueNM87131 United States Department of Electrical Computer and Energy Engineering University of Colorado BoulderCO80309 United States Physical Measurement Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States Quside Technologies S.L. Castelldefels Barcelona Spain ICFO-Institut de Ciencies Fotoniques The Barcelona Institute of Science and Technology Castelldefels Barcelona08860 Spain ICREA - Institució Catalana de Recerca i Estudis Avançats Barcelona08010 Spain Department of Mathematics University of Colorado BoulderCO80309 United States GaithersburgMD20899 United States Information Technology Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States Physical Measurement Laboratory National Institute of Standards and Technology BoulderCO80305 United States Center for Theory of Quantum Matter University of Colorado BoulderCO80305 United States Applied and Computational Mathematics Division National Institute of Standards and Technology BoulderCO80305 United States Quantum Engineering Initiative Department of Electrical Computer and Energy Engineering University of Colorado BoulderCO80309 United States

The unpredictability of random numbers is fundamental to both digital security [1, 2] and applications that fairly distribute resources [3, 4]. However, existing random number generators have limitations—the generation processes cannot be fully traced, audited, and certified to be unpredictable. The algorithmic steps used in pseudorandom number generators [5] are auditable, but they cannot guarantee that their outputs were a priori unpredictable given knowledge of the initial seed. Device-independent quantum random number generators [6–9] can ensure that the source of randomness was unknown beforehand, but the steps used to extract the randomness are vulnerable to tampering. Here, for the first time, we demonstrate a fully traceable random number generation protocol based on device-independent techniques. Our protocol extracts randomness from unpredictable non-local quantum correlations, and uses distributed intertwined hash chains to cryptographically trace and verify the extraction process. This protocol is at the heart of a public traceable and certifiable quantum randomness beacon that we have launched [10]. Over the first 40 days of operation, we completed the protocol 7434 out of 7454 attempts—a success rate of 99.7%. Each time the protocol succeeded, the beacon emitted a pulse of 512 bits of traceable randomness. The bits are certified to be uniform with error times actual success probability bounded by 2−64. The generation of certifiable and traceable randomness represents one of the first public services that operates with an entanglement-derived advantage over comparable classical approaches. Copyright © 2024, The Authors. All rights reserved.

关键词： Random number generation

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Manipulating chiral-spin transport with ferroelectric polarization

arXiv

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arXiv 2023年

作者： Huang, Xiaoxi Chen, Xianzhe Li, Yuhang Mangeri, John Zhang, Hongrui Ramesh, Maya Taghinejad, Hossein Meisenheimer, Peter Caretta, Lucas Susarla, Sandhya Jain, Rakshit Klewe, Christoph Wang, Tianye Chen, Rui Hsu, Cheng-Hsiang Pan, Hao Yin, Jia Shafer, Padraic Qiu, Ziqiang Rodrigues, Davi R. Heinonen, Olle Vasudevan, Dilip Íñiguez, Jorge Schlom, Darrell G. Salahuddin, Sayeef Martin, Lane W. Analytis, James G. Ralph, Daniel C. Cheng, Ran Yao, Zhi Ramesh, Ramamoorthy Department of Materials Science and Engineering University of California BerkeleyCA94720 United States Materials Sciences Division Lawrence Berkeley National Laboratory CA94720 United States Department of Electrical and Computer Engineering University of California RiversideCA92521 United States Avenue des Hauts-Fourneaux 5 Esch/AlzetteL-4362 Luxembourg Department of Materials Science and Engineering Cornell University IthacaNY14853 United States Department of Physics University of California BerkeleyCA94720 United States School for Engineering of Matter Transport and Energy Arizona State University TempeAZ85281 United States Department of Physics Cornell University IthacaNY14853 United States Kavli Institute Cornell for Nanoscale Science IthacaNY14853 United States Advanced Light Source Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA94720 United States Applied Mathematics and Computational Research Division Lawrence Berkeley National Laboratory CA94720 United States Department of Electrical Engineering Politecnico di Bari Via Edoardo Orabona 4 BA Bari70126 Italy Materials Science Division Argonne National Laboratory 9700 S Cass Ave LemontIL60439 United States Department of Physics and Materials Science University of Luxembourg 41 Rue du Brill BelvauxL-4422 Luxembourg Department of Physics and Astronomy University of California RiversideCA92521 United States

A collective excitation of the spin structure in a magnetic insulator can transmit spin-angular momentum with negligible dissipation1–5. This quantum of a spin wave, introduced more than nine decades ago6, has always been manipulated through magnetic dipoles7–10, (i.e., time-reversal symmetry). Here, we report the experimental observation of chiral-spin transport in multiferroic BiFeO3, where the spin transport is controlled by reversing the ferroelectric polarization (i.e., spatial inversion symmetry). The ferroelectrically controlled magnons produce an unprecedented ratio of up to 18% rectification at room temperature. The spin torque that the magnons in BiFeO3 carry can be used to efficiently switch the magnetization of adjacent magnets, with a spin-torque efficiency being comparable to the spin Hall effect in heavy metals. Utilizing such a controllable magnon generation and transmission in BiFeO3, an all-oxide, energy-scalable logic is demonstrated composed of spin-orbit injection, detection, and magnetoelectric control. This observation opens a new chapter of multiferroic magnons and paves an alternative pathway towards low-dissipation nanoelectronics. Copyright © 2023, The Authors. All rights reserved.

关键词： Iron compounds

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Adaptive trimmed hexahedral-dominant mesh refinement: a spatial isotropic moving-least square transition element with Hu-Wasizhu-derived derivative correction

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computer Methods in applied Mechanics and engineering 2025年 444卷

作者： Son H. Nguyen Shaofan Li H. Nguyen-Xuan Laboratory for Computational Mechanics Institute for Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City Vietnam Faculty of Mechanical - Electrical and Computer Engineering School of Technology Van Lang University Ho Chi Minh City Vietnam Department of Civil and Environmental Engineering University of California Berkeley CA 94720 USA CIRTECH Institute HUTECH University Ho Chi Minh City Vietnam

This paper presents an advanced adaptive trimmed hexahedral-dominant mesh refinement (ATHMR) framework that integrates a spatial isotropic moving least squares (MLS) transition element with a Hu-Washizu-derived derivative correction scheme. A key idea is to enforce discrete divergence consistency (DDC), which ensures full polynomial consistency in the corrected MLS shape functions. This guarantees that the corrected MLS shape functions, applied to both trimmed-hexahedral and transition-hexahedral elements, fully satisfy the linear patch and spatial isotropic tests, overcoming critical limitations in conventional trimmed hexahedral-dominant (TH) meshes. Numerical validation using benchmark problems demonstrates that ATHMR meshes outperform conventional TH meshes in geometric fidelity, convergence accuracy, and computational efficiency. The proposed method shows a robust and efficient solution for complex three-dimensional finite element simulations, making it a promising tool for high-precision engineering applications.

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