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Safe distancing in the time of COVID-19

European Journal of Operational Research 2023年第1期304卷 139-149页

作者： Fischetti, Martina Fischetti, Matteo Stoustrup, Jakob Vattenfall BA Wind Havneholmen 29 København1561 Denmark Department of Information Engineering University of Padua via Gradenigo 6/A Padova35100 Italy Automation & Control Department of Electronic Systems Aalborg University Fredrik Bajers Vej 7C Aalborg9220 Denmark

The spread of viruses such as SARS-CoV-2 brought new challenges to our society, including a stronger focus on safety across all businesses. Many countries have imposed a minimum social distance among people in order to ensure their safety. This brings new challenges to many customer-related businesses, such as restaurants, offices, theaters, etc., on how to locate their facilities (tables, seats etc.) under distancing constraints. We propose a parallel between this problem and that of locating wind turbines in an offshore area. The discovery of this parallel allows us to apply Mathematical Optimization algorithms originally designed for wind farms, to produce optimized facility layouts that minimize the overall risk of infection among customers. In this way we can investigate the structure of the safest layouts, with some surprising outcomes. A lesson learned is that, in the safest layouts, the facilities are not equally distanced (as it is typically believed) but tend to concentrate on the border of the available area—a policy that significantly reduces the overall risk of contagion. © 2021 Elsevier B.V.

关键词： COVID-19

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Sizing a Battery Energy Storage System for Hybrid Renewable Power Plants Based on Optimal Market Participation Under Different Market Scenarios

Sizing a Battery Energy Storage System for Hybrid Renewable ...

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作者： Martinez-Rico, Jon Zulueta, Ekaitz De Argandona, Ismael Ruiz Armendia, Mikel Fernandez-Gamiz, Unai Automation and Control Unit Tekniker Eibar20600 Spain University of the Basque Country Department of Energy Engineering College of Engineering at Vitoria-Gasteiz Vitoria-Gasteiz01006 Spain University of the Basque Country Department of Systems Engineering and Control College of Engineering at Vitoria-Gasteiz Vitoria-Gasteiz01006 Spain

This article presents a method for selecting the best battery sizing based on an optimal market participation strategy in a hybrid renewable power plant. The proposed formulation considers different scenarios to ensure the reserve provision compliance and includes two terms. The first one maximizes the day-ahead and automatic frequency restoration reserve (aFRR) market revenues. The second minimizes the battery degradation, accounting for both cycling and calendar ageing effects. The Iberian Electricity Market is selected as the study case, and two different market scenarios are compared: the current market scenario and the upcoming one, in which the upward and downward aFRR band offers are independent. The operation of a set of batteries is simulated until their end of life, and results reveal that energy/power ratios higher than 3 h for the current market scenario, and than 4 h for the upcoming one, are less cost effective. Regarding the best battery energy storage systems sizing, the selection varies considering incomes or profitability criteria. Moreover, keeping the current prices, in the upcoming market scenario hybrid renewable power plants are encouraged to participate more in the downward than in the upward aFRR market. © 1972-2012 IEEE.

关键词： Battery storage

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Robust H∞ controller Design for Satellite Systems with Uncertain Inertia Matrix: A Linear Matrix Inequality Approach 7th

Robust H∞ Controller Design for Satellite Systems with Un...

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7th Computational Methods in Systems and Software, CoMeSySo 2023

作者： Shaikh, Ibrahim Emebu, Samuel Matušů, Radek Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín nám. T. G. Masaryka 5555 Zlín760 01 Czech Republic

ISBN: (纸本)9783031535482

This paper discusses the design of a robust H∞ controller for satellite systems that exhibit changes in its inertia matrix within a range of ±5%. Using MATLAB Simulink, the proposed approach is a Linear Matrix Inequality (LMI) by LMILAB Semidefinite programming solver in YALMIP. Simulation results demonstrate the controller’s effectiveness in stabilizing the system against disturbance and maintaining performance despite variations in the inertia matrix. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Disturbance rejection

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Two-Stage Representation Refinement Based on Convex Combination for 3-D Human Poses Estimation

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第12期5卷 6500-6508页

作者： Chen, Luefeng Cao, Wei Zheng, Biao Wu, Min Pedrycz, Witold Hirota, Kaoru China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Macau University of Science and Technology Institute of Systems Engineering Taipa999078 China Istinye University Research Center of Performance and Productivity Analysis Istanbul34010 Turkey Tokyo Institute of Technology Yokohama226-8502 Japan

In the human pose estimation task, on the one hand, 3-D pose always has difficulty in dividing different 2-D poses if the view is limited;on the other hand, it is hard to reduce the lifting ambiguity because of the lack of depth information, it is an important and challenging problem. Therefore, two-stage representation refinement based on the convex combination for 3-D human pose estimation is proposed, in which the two-stage method includes a dense-spatial-temporal convolutional network and a local-to-refine network. The former is applied to determine the features between each video frame;the latter is used to get the different scales of pose details. It aims to address the difficulty of estimating 3-D human pose from 2-D image sequences. In such a way, it can better use the relations between every frame in the sequence of the pose video to produce more accurate results. Finally, we combine the above network with a block called convex combination to help refine the 3-D pose location. We test the proposed approach on both Human3.6m and MPII datasets. The result confirms that our method can achieve better performance than improved CNN supervision, a simple yet effective baseline, and coarse-to-fine volumetric prediction. Besides, a robustness test experiment is carried out for the proposed method while the input is interrupted. The result verifies that our method shows better robustness. © 2024 IEEE.

关键词： Convolution

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A Data-Driven Passive Islanding Detection Scheme

A Data-Driven Passive Islanding Detection Scheme

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作者： De, Sourav Reddy, Motakatla Venkateswara Sodhi, Ranjana Department of Electrical Engineering Indian Institute of Technology Ropar Rupnagar140001 India Grid Automation and Control National Renewable Energy Laboratory GoldenCO80401 United States

This paper proposes a simple yet effective statistical parameters based passive islanding scheme. The proposed scheme relies only the voltage data, measured at the point of common coupling (PCC), and is comprised of three stages. The Stage-1 quickly computes what is termed as mean based coarse islanding detection (MID), Stage-2 computes the decaying DC detector (DDCD), and 3) finally, MID is used in conjunction with DDCD as per the statistical digital relay logic (SRDL) is devised in Stage-3 to distinguish between islanding events from non islanding events. Various tests are investigated on the Banshee’s industrial Microgrid (MG), modelled in the Real Time Digital Simulator (RTDS), on the basis of the IEEE-1547, UL 1741 standards. The validation of the proposed islanding detection methodology (PIDM) in RTDS platform ensures the viability of the proposed scheme in practical systems. The test results reveal that the PIDM can detect islanding within 2 cycles, and results in a very small non detection zone (NDZ). Moreover, the scheme can very well be used for single-phase MG too as it relies only on the single phase voltage information. © 2023 IEEE.

关键词： Electric circuit breakers

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A novel deep learning framework with variational auto-encoder for indoor air quality prediction

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Frontiers of Environmental Science & engineering 2024年第1期18卷 97-109页

作者： Qiyue Wu Yun Geng Xinyuan Wang Dongsheng Wang ChangKyoo Yoo Hongbin Liu Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources Nanjing Forestry UniversityNanjing 210037China College of Automation&College of Artificial Intelligence Nanjing University of Posts and TelecommunicationsNanjing 210023China Guangxi Key Laboratory of Clean Pulp&Papermaking and Pollution Control College of Light Industry and Food EngineeringGuangxi UniversityNanning 530004China Laboratory for Comprehensive Utilization of Paper Waste of Shandong Province Shandong Huatai Paper Co.Ltd.Dongying 257335China Department of Environmental Science and Engineering College of EngineeringKyung Hee UniversityYongin 446701Republic of Korea

Exposure to poor indoor air conditions poses significant risks to human health, increasing morbidity and mortality rates. Soft measurement modeling is suitable for stable and accurate monitoring of air pollutants and improving air quality. Based on partial least squares (PLS), we propose an indoor air quality prediction model that utilizes variational auto-encoder regression (VAER) algorithm. To reduce the negative effects of noise, latent variables in the original data are extracted by PLS in the first step. Then, the extracted variables are used as inputs to VAER, which improve the accuracy and robustness of the model. Through comparative analysis with traditional methods, we demonstrate the superior performance of our PLS-VAER model, which exhibits improved prediction performance and stability. The root mean square error (RMSE) of PLS-VAER is reduced by 14.71%, 26.47%, and 12.50% compared to single VAER, PLS-SVR, and PLS-ANN, respectively. Additionally, the coefficient of determination (R2) of PLS-VAER improves by 13.70%, 30.09%, and 11.25% compared to single VAER, PLS-SVR, and PLS-ANN, respectively. This research offers an innovative and environmentally-friendly approach to monitor and improve indoor air quality.

关键词： Indoor air quality PM_(2.5)concentration Variational auto-encoder Latent variable Soft measurement modeling

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Covariance Intersection-based Invariant Kalman Filtering for Distributed Pose Estimation 63

Covariance Intersection-based Invariant Kalman Filtering for...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Li, Haoying Li, Xinghan Huang, Shuaiting Yang, Chao Wu, Junfeng The Chinese University of Hong Kong Shenzhen School of Data Science Shenzhen China Zhejiang University College of Control Science and Engineering Hangzhou China East China University of Science and Technology Department of Automation Shanghai China

ISBN: (纸本)9798350316339

This paper presents a novel approach to distributed pose estimation in the multi-agent system based on invariant Kalman filter with covariance intersection. Our method models uncertainties using Lie algebra and applies object-level observations within Lie groups, which have practical application value. We integrate covariance intersection to handle correlated estimates and use the invariant Kalman filter to merge independent data sources. This strategy allows us to effectively tackle the complex correlations of cooperative localization among agents, ensuring our estimates are neither too conservative nor overly confident. Additionally, we examine the consistency and stability of our algorithm, providing evidence of its reliability and effectiveness in managing multi-agent systems. © 2024 IEEE.

关键词： Kalman filters

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Stability Analysis of Boolean Networks: Exploring the Influence of Multi-bit Function Perturbations 63

Stability Analysis of Boolean Networks: Exploring the Influe...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Liu, Aixin Wang, Lin Chen, Guanrong Guan, Xinping Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China City University of Hong Kong Department of Electrical Engineering Hong Kong

ISBN: (纸本)9798350316339

This study investigates the impact of multi-bit function perturbations (MFPs) on the steady-state distribution of Boolean networks (BNs), with a focus on robust stability. First, the algebraic formulation of BNs under MFPs is introduced. Then, a novel stability criterion is proposed, demonstrating that monotonically decreasing perturbations can effectively ensure the stability of BNs against MFPs. A significant advantage of this approach is that it enables robust stability assessment without remodeling the perturbed BNs. Applying this methodology to a simplified Boolean model of the lactose operon in Escherichia coli reveals that MFPs can serve as strategic tools to promote stability within BNs, rather than being merely disruptive. © 2024 IEEE.

关键词： Stability criteria

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Dispatch of a Coal Mine-Integrated Energy System:Optimization Model with Interval Variables and Lower Carbon Emission

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Tsinghua Science and Technology 2024年第5期29卷 1441-1462页

作者： Hejuan Hu Xiaoyan Sun Bo Zeng Dunwei Gong Yong Zhang Patrick Nyonganyi Henerica Tazvinga School of Information and Control Engineering ChinaUniversity of Mining and TechnologyXuzhou 221116China Laboratory of Alternate Electrical PowerSystem with Renewable Energy Sources North ChinaElectric Power UniversityBeijing 102206China School of Information Science andTechnology Qingdao University of Science and TechnologyQingdao 266061China Department of Automation Tsinghua UniversityBeijing 100084China South Africa WeatherService Pertoria 0001South Africa

In the coal mining process,a large amount of Coal Mine-Associated energy(CMAE),such as coal mine methane and underground wastewater,is *** on the modeling and optimization dispatching of a Coal Mine-Integrated Energy System(CMIES)with CMAE effectively saves energy and reduces carbon *** has great uncertainties owing to the affections of the hydrogeology conditions and mining *** addition,thermal loads have high comfort requirements in mines,which brings great challenges to the optimization dispatching of ***,this paper studies the architecture and solution of CMIESs with a flexible thermal load and source-load ***,to effectively improve the electric and thermal conversion efficiency,the architecture of CMIES,including a concentrating solar power station,is ***,for the scheduling model with bilateral uncertainty,the interval representation method with interval variables is proposed,and a multi-objective scheduling model based on the interval variables and flexible thermal load is ***,we propose a solution method for the model with interval variables.A case study is conducted to demonstrate the performance of our model and method for lowering carbon emissions and cost.

关键词： Integrated Energy Systems(IESs) Coal Mine-Integrated Energy Systems(CMIES) bilateral uncertainties concentrating solar power station interval optimization

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Proton Exchange Membrane Fuel Cell Thermal System Modeling and control

Proton Exchange Membrane Fuel Cell Thermal System Modeling a...

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International Conf on Electrical and Electronic engineering (ICEEE)

作者： Tuna Han Özdemir Claudia Fernanda Yaşar Department of Control and Automation Engineering Yıldız Technical University AVL Research and Engineering İstanbul Turkey Department of Control and Automation Engineering Yıldız Technical University İstanbul Turkey

The urgent issue of global warming and its adverse effects, including wildfires, water scarcity, and the spread of diseases, calls for concerted efforts to mitigate emissions and curb climate change. Among the effective strategies is the reduction of carbon emissions, for which hydrogen-powered proton exchange membrane fuel cell systems are vital. These systems generate electricity through chemical reactions involving hydrogen, with only water and heat as byproducts, hence their environmentally friendly nature. Fuel cell efficiency is higher than conventional systems depending on the type and the operating temperature. Proper thermal control is essential for maintaining high efficiency. This research paper aims to examine standard models of proton exchange membrane fuel cell thermal systems and suggest an efficient control approach. The system dynamics are derived from fundamental models, and an adaptive PID controller is simulated with MATLAB/Simulink. The paper also presents a comparative analysis between traditional PID control and adaptive PID, an advanced control technique.

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