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6th International Conference on Power and Renewable Energy, ICPRE 2021

作者： Xing, Zheng Gong, JianHua Lao, Keng-Weng Dai, NingYi University of Macau State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering Macao SAR China

ISBN: (纸本)9781665449618

The power flow model is usually used to estimate power from the central calculation for the whole power system. In recent years, data-driven approach is an emerging technique to determine power flow without knowing circuit parameters. However, with the development of renewable energy, more complex power grids are placing an increasing burden on central computing. Therefore, this paper proposes a method to estimate power from a single bus only which provides a quick reference to the power of a single bus. This method is based on modified linear power flow model, the core is to solve the challenge of power estimation using only one single bus data rather than whole power system data by analyzing the electrical relationship. The proposed modified linear power flow model includes both the nonlinear physical power flow model and the linear regression model. Simulation results on the IEEE Standard bus 30 show that this method has higher accuracy than other linear power flow models in single bus power calculation. © 2021 IEEE.

关键词： IEEE Standards

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Beam shaping based on a silicon optical phased array chip

Beam shaping based on a silicon optical phased array chip

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IEEE International Conference on Group IV Photonics

作者： Wenbo Ren Haipeng Liu Wei Jiang Xincheng Xia Zejun Yan Jijun Feng Shanghai Key Laboratory of Modern Optical System Engineering Research Center of Optical Instrument and System (Ministry of Education) School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China

ISBN: (数字)9798350394047

ISBN: (纸本)9798350394054

In this study, we present a method for free-space beam shaping and steering based on a silicon optical phased array, which addresses the theoretical limitation of traditional bulk optics. We theoretically analyze the beam propagation properties with changes in the applied phase. Different beam profiles can be shaped by varying the phase combination, while a high-order quasi-Bessel beam can be generated with a cubic change to the phase modulation. The simulated results are validated further experimentally, and they match one another well. The presented method is expected to have broad application prospects for optical communications, free-space optical interconnects, and light detection and ranging.

关键词： Phased arrays Optical interconnections Free-space optical communication Phase modulation Optical propagation Silicon photonics Optics

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Uncertainty Quantification Kernel PCA: Enhancing Fault Detection in Interval-Valued Data

Uncertainty Quantification Kernel PCA: Enhancing Fault Detec...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Abdelhalim Louifi Abdelmalek Kouadri Mohamed Faouzi Harkat Abderazak Bensmail Majdi Mansouri Hazem Nounou Signals and Systems Laboratory Institute of Electrical and Electronics Engineering University M’Hamed Bougara of Boumerdes Boumerdes Algeria Systems and Advanced Material Laboratory Badji Mokhtar - Annaba University Annaba Algeria Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

The interval-valued kernel PCA (UQ-KPCA) is a variation of the kernel PCA (KPCA) designed for interval-valued data, designed to handle data uncertainty by defining specific similarity measures and kernel functions for interval data. This paper introduces Uncertainty Quantification KPCA (UQ-KPCA) as a novel method to address uncertainties in data. UQ-KPCA converts the traditional KPCA model from single-valued to interval-valued representations, allowing for accurate error and uncertainty quantification. The process modeling using KPCA is then performed on data based on the interval model, followed by the computation of fault detection statistics such as T 2 , Q, and Φ. The method’s effectiveness is evaluated in the context of the cement rotary kiln process, and compared with the KPCA demonstrating superior performance in accurately identifying faults within a stochastic setting with unknown uncertainties.

关键词： Process monitoring Kilns Uncertainty Fault detection Computational modeling Cement industry Stochastic processes Real-time systems Kernel Principal component analysis

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Vortex localization and OAM selective conversion via cylindrical metagratings

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Chinese Optics Letters 2024年第3期22卷 137-141页

作者：郝占磊朱杉仇成伟徐亚东陈焕阳 Institute of Electromagnetics and Acoustics and Department of Physics College of Physical Science and TechnologyXiamen UniversityXiamen 361005China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore School of Physical Science and Technology and Jiangsu Key Laboratory of Thin Films Soochow UniversitySuzhou 215006China

Vortex waves with orbital angular momentum(OAM)are a highly active research topic in various *** this paper,we design and investigate cylindrical metagratings(CMs)with an even number of unit cells that can efficiently achieve vortex localization and specific OAM selective *** multifunctional manipulation of vortex waves and the new OAM conservation law have further been confirmed through analytical calculations and numerical *** addition,we qualitatively and quantitatively determine the OAM range for vortex localization and the OAM value of vortex selective conversion and also explore the stability for performance and potential applications of the designed *** work holds potential applications in particle manipulation and optical communication.

关键词： vortex waves cylindrical metagratings vortex localization high-efficiency transmission vortex selective conversion

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Time-Refraction with Moving Time-Interfaces

Time-Refraction with Moving Time-Interfaces

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Segal, Ohad Lustig, Eran Sana, Soham Bordo, Eliyahu Chowdhury, Sarah N. Cohen, Moshe-Ishay Fleischer, Avner Ozlu, Mustafa Boltasseva, Alexandra Cohen, Oren Shalaev, Vladimir M. Segev, Mordechai Physics Department and 'Solid' State Institute Technion-Israel Institute of Technology Haifa Israel Ginzton Laboratory Department of Electrical Engineering Stanford University StanfordCA94305 United States Elmore Family School of Electrical and Computer Engineering Purdue Quantum Scienceand Engineering Institute Purdue University West LafayetteIN United States Birck Nanotechnology Center Purdue University West LafayetteIN47907 United States SchoolofChemistry TelAviv University Israel

We present an experimental study of time-refraction with propagating time-interfaces. We observe the special spectral signature of time-reflections generated by these interfaces, paving the way for their experimental ... 详细信息

ISBN: (纸本)9781957171258

关键词： Refraction

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Machine vision Analysis for Multiplex Surface-Enhanced Raman Scattering Sensing

Machine Vision Analysis for Multiplex Surface-Enhanced Raman...

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CLEO: Science and Innovations, S and I 2022

作者： Hou, Xingwei Sivashanmugan, Kundan Zhao, Yong Wang, Alan X. School of Electrical Engineering and Computer Science Oregon State University CorvallisOR97331 United States State Key Laboratory of Precision Measurement Technology and Instrument School of Precision Instruments and Opto-Electronics Engineering Tianjin University Tianjin300072 China School of Electrical Engineering The Key Laboratory of Measurement Technology and Instrumentation of Hebei Province Yanshan University Hebei Qinhuangdao066004 China

We report a multiplex sensing method by machine vision analysis of surface-enhanced Raman scattering coupled with thin layer chromatography. This machine vision method can detect five different analytes at 1 ppm conce... 详细信息

ISBN: (纸本)9781557528209

关键词： Thin layer chromatography

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Electric Vehicle Charging Management in Smart Energy Communities to Increase Renewable Energy Hosting Capacity

Electric Vehicle Charging Management in Smart Energy Communi...

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International Conference on Power Electronics (ICPE)

作者： Hyunwoo Song Yeongsang Lee Gab-Su Seo Dongjun Won Department of Electrical and Computer Engineering Inha University Incheon South Korea Power Systems Engineering Center National Renewable Energy Laboratory Golden CO USA

Abnormal climates due to global warming have emerged as a big concern in the global community. To mitigate climate change and achieve sustainability, distributed energy resources (DERs), including solar and wind, have been recently deployed in power systems. As the penetration level of DERs has increased, however, it caused a multitude of issues in the power systems, such as voltage fluctuation in the distribution network limiting renewable hosting capacity. On the other hand, the electric vehicle (EV) industry is rapidly growing to facilitate the transition to a carbon-neutral community, illuminating the potential of EVs as a flexible grid asset to mitigate some of the issues and improve grid operation, if properly exploited. To explore the potential of EVs, this paper proposes an EV scheduling strategy. By using an optimal EV charging scheduling proposed, distribution system operators (DSOs) can minimize their operating costs and stably operate the system with a high level of DERs. To validate the method, a modified IEEE 33-bus system with DERs is developed. The case study shows the proposed scheduling strategizes EV charging to reduce the cost of PV curtailment. In the study, the method outperforms the renewable-only case with curtailment by 4.97% in DSO cost. It also demonstrates its potential to increase the renewable hosting capacity by harmonizing EV charging with renewables.

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Collaborative multiagent decision making for lane-free autonomous driving 20

Collaborative multiagent decision making for lane-free auton...

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20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021

作者： Troullinos, Dimitrios Chalkiadakis, Georgios Papamichail, Ioannis Papageorgiou, Markos Dynamic Systems and Simulation Laboratory Technical University of Crete Greece School of Electrical and Computer Engineering Technical University of Crete Greece

ISBN: (纸本)9781713832621

This paper addresses the problem of collaborative multi-agent autonomous driving of connected and automated vehicles (CAVs) in lane-free highway scenarios. We eliminate the lane-changing task, i.e., CAVs may be located in any arbitrary lateral position within the road boundaries, hence allowing for better utilization of the available road capacity. As a consequence, vehicles operate in a much more complex environment, and the need for the individual CAVs to select actions that are efficient for the group as a whole is highly desired. We formulate this environment as a multiagent collaboration problem represented via a coordination graph, thus decomposing the problem with local utility functions, based on the interactions between vehicles. We produce a tractable and scalable solution by estimating the joint action of all vehicles via the anytime max-plus algorithm, with local utility functions provided by potential fields, designed to promote collision avoidance. Specifically, the fields have an ellipsoid form that is most suitable for lane-free highway environments. This novel use of max-plus with potential fields gives rise to a coordinated control policy that exploits only local information specific to each CAV. Our experimental evaluation confirms the effectiveness of our approach: lane-free movement allows for increased traffic flow rates, and vehicles are able to achieve speeds that are both high and close to their desired ones, even in demanding environments with high traffic flow. © 2021 International Foundation for Autonomous Agents and Multiagent Systems (***). All rights reserved.

关键词： Autonomous vehicles

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Optimizing Sensor Allocation against Attackers with Uncertain Intentions: A Worst-Case Regret Minimization Approach

arXiv

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arXiv 2023年

作者： Ma, Haoxiang Han, Shuo Kamhoua, Charles A. Fu, Jie The Department of Electrical & Computer Engineering University of Florida GainesvilleFL32611 United States The Department of Electrical & Computer Engineering University of Illinois at Chicago ChicagoIL60607 United States The U.S. Army Research Laboratory RomeNY13440 United States

This paper is concerned with the optimal allocation of detection resources (sensors) to mitigate multi-stage attacks, in the presence of the defender's uncertainty in the attacker's intention. We model the attack planning problem using a Markov decision process and characterize the uncertainty in the attacker's intention using a finite set of reward functions-each reward represents a type of the attacker. Based on this modeling framework, we employ the paradigm of the worst-case absolute regret minimization from robust game theory and develop mixed-integer linear program (MILP) formulations for solving the worst-case regret minimizing sensor allocation strategies for two classes of attack-defend interactions: one where the defender and attacker engage in a zero-sum game, and another where they engage in a non-zero-sum game. We demonstrate the effectiveness of our framework using a stochastic gridworld example. © 2023, CC BY.

关键词： Markov processes

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Robust Output Feedback Control Design for Inertia Emulation by Wind Turbine Generators

Robust Output Feedback Control Design for Inertia Emulation ...

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IEEE General Meeting Power& Energy Society

作者： Samaneh Morovati Yichen Zhang Seddik Djouadi Kevin Tomsovic Andrew Wintenberg Mohammed Olama Electrical Engineering and Computer Science The University of Tennessee Knoxville Energy system devision Argonne National Laboratory Electrical Engineering and Computer Science University of Michigan Ann Arbor Computational Sciences and Engineering Division Oak Ridge National Laboratory

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408240

Wind generation has gained widespread use as a renewable energy source. Most wind turbines and other renewables connected to the grid through converters result in a reduction in the natural inertial response to grid frequency changes. The doubly-fed induction generator (DFIG) can be controlled to compensate for this reduction and, in fact, provide faster response than traditional synchronous machines. This paper proposes to design observer based output feedback linear quadratic regulator (LQR) and H∞ control laws to realize the inertia emulation function and deliver fast frequency support. The aim is to track the reference speed by a diesel synchronous generator (DSG) in order to reach the desired inertia. The control signal is computed based on a reduced order model using the balanced truncation technique. A comparison with selective modal analysis (SMA) and balanced truncation model reduction techniques is presented. Comprehensive results show the effective emulation of synthetic inertia by implementing the control laws on a nonlinear three-phase diesel-wind system. The proposed technique is analyzed for different short circuit ratio (SCR) scenarios.

关键词： Wind energy generation Renewable energy sources Regulators Modal analysis Emulation Observers Reduced order systems

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