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Global Sensitivity Analysis for Rare Events in Probabilistic Power Flow Using Subset Simulation

IEEE Transactions on Power Systems 2025年第2期40卷 1969-1972页

作者： Li, Yibo Xu, Yijun Gu, Wei Lu, Shuai Mili, Lamine Southeast University Electrical Engineering Department Nanjing210096 China Virginia Tech Bradley Department of Electrical and Computer Engineering Falls ChurchVA22043 United States

Traditionally, global sensitivity analysis (GSA) measures the importance of renewables and loads that will affect all probabilistic density functions (PDF) of operating states in power systems. However, when it comes to the rare events that better quantify the risk probabilities in the PDF tails, the traditional GSA is no longer applicable. In addition, the model uncertainties of the input PDFs are ignored in the traditional GSA. To overcome these challenges, we propose a novel GSA framework that addresses the probability of rare events associated with the distribution parameters of the input PDFs. Moreover, we propose to accelerate the expensive rare event-based GSA (REGSA) via the subset simulation (SS) method. The simulation results reveal the excellent performance of the proposed method. © 1969-2012 IEEE.

关键词： Load flow optimization

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Electricity Market-Clearing With Extreme Events

IEEE Transactions on Energy Markets, Policy and Regulation

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IEEE Transactions on Energy Markets, Policy and Regulation 2025年第2期3卷 194-208页

作者： Tapia, Tomas Liang, Zhirui Konstantinou, Charalambos Dvorkin, Yury Johns Hopkins University Department of Electrical and Computer Engineering BaltimoreMD21218 United States King Abdullah University of Science and Technology Department of Computer Electrical and Mathematical Sciences and Engineering Thuwal Makkah23955 Saudi Arabia Johns Hopkins University Department of Electrical and Computer Engineering Department of Civil and System Engineering BaltimoreMD21218 United States

Extreme events jeopardize power network operations, causing beyond-design failures and massive supply interruptions. Existing market designs fail to internalize and systematically assess the risk of extreme and rare events. Efficiently maintaining the reliability of renewable-dominant power systems during extreme weather events requires co-optimizing system resources, while differentiating between large/rare and small/frequent deviations from forecast conditions. To address this gap in both research and practice, we propose managing the uncertainties associated with extreme weather events through an additional reserve service, termed extreme reserve. The procurement of extreme reserve is co-optimized with energy and regular reserve using a large deviation theory chance-constrained (LDT-CC) model, where LDT offers a mathematical framework to quantify the increased uncertainty during extreme events. To mitigate the high additional costs associated with reserve scheduling under the LDT-CC model, we also propose an LDT model based on weighted chance constraints (LDT-WCC). This model prepares the power system for extreme events at a lower cost, making it a less conservative alternative to the LDT-CC model. The proposed market design leads to a competitive equilibrium while ensuring cost recovery. Numerical experiments on an illustrative system and a modified 8-zone ISO New England system highlight the advantages of the proposed market design. © 2024 IEEE.

关键词： Weather forecasting

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Patient-independent epileptic seizure detection using weighted visibility graph features and wavelet decomposition

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Multimedia Tools and Applications 2025年第6期84卷 3197-3221页

作者： Mohammadpoory, Zeynab Nasrolahzadeh, Mahda Amiri, Sekineh Asadi Department of Biomedical Engineering Shahrood University of Technology Shahrood Iran Department of Electrical Engineering University of Torbat Heydarieh Torbat Heydarieh Iran Department of Computer Engineering University of Mazandaran Babolsar Iran

Epileptic seizure detection has been a complex task due to the chaos and non-stationariness observed in the electroencephalogram (EEG) signals. Most existing EEG-based seizure detection algorithms are patient-dependent and train a detection model for each patient. This study investigates the patient-independent detection of seizure events using the big dataset CHB-MIT Scalp EEG. This paper proposes a new method based on weighted visibility graph (WVG) features to identify seizures from EEG signals. EEG signals from 22 channels and delta, theta, alpha, beta, and gamma sub-bands of EEGs are mapped into the WVG, and then WVG features are calculated from these WVGs. Then more informative features were selected using a combination of some feature selection methods and were given to five classifiers to investigate the performance of these features to classify the brain signals into seizure free (interictal) and during a seizure (ictal) groups. After that, the post-processing step was used to promote the performance of the method and also detect the seizure onset and offset times detection. The proposed method could detect 163 seizures out of 184, considering patient-independent situations for training classifiers and it could obtain an accuracy, sensitivity, and specificity of 94.02%, 92.31%, and 94.12% respectively. It also could obtain an FDR equal to 0.12/h and an ADL of 5.11 Seconds. Then, the proposed method has promising results in detection of seizures and it may use in online seizure detection applications such as closed-loop therapies. This study proposed extracting some WVG-based features from the signal and its sub-band with a feature selection scheme combining some feature selection methods and using some classifiers. Then a post-processing proposed to process the classifiers output and promote the performance of the proposed method. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Electroencephalography

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Optimization-Based Distributed Controller for Multi-Agents System in Microgrid Secondary Control

IEEE Open Access Journal of Power and Energy

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IEEE Open Access Journal of Power and Energy 2025年 12卷 417-428页

作者： Alshammari, Fahad S. El-Refaie, Ayman Alyahya, Saleh Khan, Sheroz Department of Electrical and Computer Engineering Thomas and Suzanne M. Werner Endowed Chair Opus College of Engineering Marquette University Milwaukee WI USA Department of Electrical and Electronic Engineering College of Engineering and Computer Sciences Jazan University Jazan Saudi Arabia Department of Electrical Engineering College of Engineering and Information Technology Onaizah Colleges Onaizah Al-Qassim Saudi Arabia Faculty of Engineering and Physical Sciences University of Southampton Highfield Campus Southampton U.K.

Micro-grids function to connect to power system power produced by the renewable energy resources. In islanded micro-grids, grid-forming units collaborate to maintain the micro-grids voltage and frequency by utilizing droop control technique that includes primary, secondary and tertiary levels. Secondary control intervenes to improve power sharing and restore voltage and frequency to their nominal levels. However, the conventional droop control applied to a grid with mismatched line parameters experiences a trade-off between reactive power sharing and voltage regulations. This paper applies real-time trajectory tracking convex optimization to ensure by communicating power sharing between units in a consensus topology. The optimization function is designed with local frequency and voltage constraints to maintain the frequency at its nominal value and ensure the voltage remains within a 5% tolerance range.. The proposed controller maintains power sharing among all units at the global consensus average value with constraints to within the limits. When the voltage limit is reached, the reactive power automatically deviates from the agreed global average in an optimal manner. The performance of the controller is shown using MATLAB/SIMULINK for different control parameters. The performance is compared to centralized-based topology. Finally, the controller is tested for grids with different line-parameters mismatches. The results show the reactive power sharing in an optimized manner. © 2020 IEEE.

关键词： Convex optimization

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Design and Characterization of High Quality-Factor Inductors for Wireless Systems Compatible With Flexible Large-Area Electronics

IEEE Journal on Flexible Electronics

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IEEE Journal on Flexible Electronics 2024年第6期3卷 234-241页

作者： Ma, Yue Wagner, Sigurd Verma, Naveen Sturm, James C. Princeton University School of Engineering and Applied Science Department of Electrical and Computer Engineering PrincetonNJ08544 United States

Resonant operation, exploiting high quality-factor planar inductors, has recently enabled gigahertz (GHz) applications for large-area electronics (LAE), providing a new technology platform for large-scale and flexible wireless systems. This work first presents the design, analysis, and characterization methodology of flex-compatible large-area planar inductors. Specifically, three distinct radio frequency (RF) inductor characterization methods are experimentally demonstrated and compared, with the most accurate method among them (i.e., S-parameters in a two-port configuration) demonstrating a record-high quality factor of up to 65in the 2.4-GHz frequency band. Enabled by accurate characterization, key inductor design considerations regarding the resistive loss due to inductor's metal traces are then discussed. Finally, a case study of the recently demonstrated LAE resonant switch shows the potential of these high-performance inductors towards large-area and conformal wireless systems for integrated Internet of Things (IoT) and 5G/6G applications. © 2022 IEEE.

关键词： Substrates

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Double-crossed Bowtie Antenna-coupled Carbon Nanotube Microbolometer with Meander Structures at 1THz

Double-crossed Bowtie Antenna-coupled Carbon Nanotube Microb...

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2024 International Symposium on Antennas and Propagation, ISAP 2024

作者： Hasiholan, Matthew Gabriel Pangesti Aji, Arie Apriono, Catur Rahardjo, Eko Tjipto Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Indonesia Department of Electrical Engineering Faculty of Engineering and Informatics Universitas Dian Nusantara Indonesia

ISBN: (纸本)9798350364774

A high reception of THz waves is important in the design of an antenna-coupled microbolometer, which is indicated by the ability to detect THz waves effectively from all directions. In this study, we implement the meander line structure in a carbon nanotube (CNT) based bolometer coupled with a double-crossed bowtie antenna. The structure is designed on a SiO2 substrate with an additional metal reflector at the bottom. The simulation results reveal the potential high responsivity of 281.5 kV/W and could effectively minimize the NEP down to 0.0145 pW/Hz1/2. These results demonstrate the prospect of a meander line bolometer structure to enhance THz wave absorption with great potential in the application of real-time imaging. © 2024 IEEE.

关键词： Terahertz waves

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Equipment Parameter Investigation for a Proposed Power Conductor Hot Spot Identification system 10

Equipment Parameter Investigation for a Proposed Power Condu...

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10th International Conference on Modern Power Systems, MPS 2023

作者： Polycarpou, Alexis Komodromos, Michael Kalli, Kyriacos Argyrou, Maria C. Ioannou, Andreas Computer Engineering and Informatics Frederick University Frederick Research Center Deparment of Electrical Nicosia Cyprus Cyprus University of Technology PhOSLab Department of Electrical Engineering/Computer Engineering and Informatics Limassol Cyprus

ISBN: (纸本)9798350326826

Reliability, efficiency and continuity of power energy supplied is an area which receives increasing attention as the main infrastructure of power transmission and distribution systems in many countries is ageing. Hot spot related cable failures and power interruptions have a big financial impact on the power provider. The operational parameters of a method to identify in real time hot spots on cables is investigated in this paper, which can result to timely fault prevention. This can be achieved through exploiting the optical sensing capabilities of the existing optical fibre on-grid network. The resulting parameters aim to be advantageous for the system as they increase accuracy and will enable the Remote, automated, continuous, and real time monitoring of the grid infrastructure integrity. © 2023 IEEE.

关键词： Cables

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Temperature-dependent wakeup behavior in back-end-of-line compatible ultra-thin HfxZr1-xO2 ferroelectric film

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Science China(Information Sciences) 2025年第6期68卷 216-217页

作者： Xiaopeng LI Lu TAI Xiaoyu DOU Yang FENG Dong ZHANG Xuepeng ZHAN Jixuan WU Xiao GONG Jiezhi CHEN School of Information Science and Engineering Shandong University Beijing Superstring Academy of Memory Technology Department of Electrical and Computer Engineering National University of Singapore

HfO2-based ferroelectric（FE） devices have emerged as promising candidates for next-generation non-volatile memories（NVMs）, owing to their excellent CMOS compatibility, robust scalability, and low operating voltage requirements [1]. Among them, ultra-thin HfxZr1-xO2（HZO） FE films are particularly attractive for back-end-of-line（BEOL）integration in monolithic 3D memory architectures.

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Conductivity Profile Reconstruction of Stroke Head Models Based on Divide-and-Conquer Method and the Genetic Algorithm

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IEEE Transactions on Magnetics 2024年第3期60卷 1-4页

作者： Choi, Charles T. M. Yu, Chieh-Cheng Lai, Yan-Hung National Yang Ming Chiao Tung University College of Electrical and Computer Engineering Department of Electronics and Electrical Engineering Hsinchu30010 Taiwan Institute of Electrical and Control Engineering College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute of Biomedical Engineering College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan

This article used finite element (FE) analysis to study and analyze the electrical conductivity profile of simulated stroke patients based on a 45 dB signal-to-noise ratio synthesized measurement. Clinical measurement data obtained from stroke patients with electrical impedance tomography (EIT) was reported to be approximately 45 dB SNR. Weighting factors in conjunction with the divide-and-conquer method and adaptive genetic algorithm (AGA) were used. The AGA was applied with the weighting factors to identify the conductivity distribution inside the brain by minimizing the difference between the simulation and synthesized measured voltages under stroke conditions. The result shows that it might be possible to reconstruct an approximate electrical conductivity distribution based on 45 dB SNR simulated measurement of stroke data. © 2023 IEEE.

关键词： Finite element method

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Blockchain-based group signature for secure authentication of IoT systems in smart home environments

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Cyber-Physical Systems 2024年第4期10卷 362-386页

作者： Kara, Mustafa Merzeh, Hisham R.J. Aydin, Muhammed Ali Balik, Hasan Hüseyin Department of Computer Engineering Air Force Academy National Defence University Istanbul Turkey Department of Computer Engineering College of Electrical and Electronic Technology Middle Technical University Baghdad Iraq Department of Computer Engineering Istanbul University-Cerrahpaşa Istanbul Turkey Department of Computer Engineering Istanbul Aydin University Istanbul Turkey

Current solutions that rely on a single-server architecture have privacy, anonymity, integrity, and confidentiality limitations. Blockchain-based solutions can address some of these issues but face challenges regulating behaviour and protecting access policy privacy. This study proposes a new approach to securing a smart home environment to overcome these *** proposed architecture is based on a group signature scheme, which allows multiple IoT devices to securely exchange keys and authenticate each other without needing a central authority. Our experimental results indicate the effectiveness and efficiency of the proposed architecture and provide insights into its security and privacy features compared to existing IoT authentication methods. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Authentication

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