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Improving Power Response of Single-controllable VSG-Based Active Distribution Network

CSEE Journal of Power and Energy systems 2025年第1期11卷 102-114页

作者： Shah Fahad Arman Goudarzi Pierluigi Siano Ji Xiang Department of Electrical and Computer Engineering Missouri University of Science and TechnologyUSA University of Victoria Canada Department of Management&Innovation Systems University of SalernoItaly Department of Electrical and Electronic Engineering Science University of JohannesburgJohannesburg2006South Africa National Laboratory of Industrial Control Technology College of Electrical EngineeringZhejiang UniversityHangzhou310058China

controlling an active distribution network(ADN)from a single PCC has been advantageous for improving the performance of coordinated Intermittent RESs(IRESs).Recent studies have proposed a constant PQ regulation approach at the PCC of ADNs using coordination of non-MPPT based ***,due to the intermittent nature of DGs coupled with PCC through uni-directional broadcast communication,the PCC becomes vulnerable to transient *** address this challenge,this study first presents a detailed mathematical model of an ADN from the perspective of PCC regulation to realize rigidness of PCC against ***,an H_(∞)controller is formulated and employed to achieve optimal performance against disturbances,consequently,ensuring the least oscillations during transients at ***,an eigenvalue analysis is presented to analyze convergence speed limitations of the newly derived system ***,simulation results show the proposed method offers superior performance as compared to the state-of-the-art methods.

关键词： Cooperative control of DGs hierarchical control system high penetration of intermittent RESs H_(∞)control optimal control in power systems single-controllable active distribution networks

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Data-driven finite-time adaptive attitude tracking control for spacecraft

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Advances in Space Research 2025年第12期75卷 8780-8791页

作者： Wang, Jianhui He, Guangping Bian, Guibin Geng, Shixiong College of Mechanical & Energy Engineering Beijing University Of Technology Beijing100124 China Department of Mechanical and Electrical Engineering North China University of Technology Beijing100144 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

This paper proposes a novel data-driven finite-time adaptive control method for the spacecraft attitude tracking control problem with inertial uncertainty. Based on the dynamic regression extension technique, the disturbance unit matrix is introduced, and the parameter estimation law in the form of algebraic equations is presented, which realizes the arbitrarily small convergence of parameter estimation error. The convergence of parameter estimation errors is verified through stability analysis. Globally non-singular fast terminal sliding mode control is designed to achieve finite-time arrival of the sliding surface and convergence of the system state error. The stability analysis of the closed-loop system demonstrates the effectiveness of the proposed method. Furthermore, the effectiveness and superiority of the proposed method are verified through numerical simulations of spacecraft attitude tracking control. © 2025 COSPAR

关键词： Attitude control

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Design of a Navigation Function for a Polyhedral World 16th

Design of a Navigation Function for a Polyhedral World

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16th APCA International Conference on Automatic control and Soft Computing, controlO 2024

作者： Nicu, Theodor-Gabriel Stoican, Florin Ioan, Daniel Prodan, Ionela Department of Automatic Control and Systems Engineering Romania National University of Science and Technology "Politehnica" Bucharest 313 Splaiul Independenţei Bucharest060042 Romania Univ. Grenoble Alpes Grenoble INP Institute of Engineering and Management LCIS Valence26000 France

ISBN: (纸本)9783031817236

This work pertains to the generation of navigation functions for obstacle avoidance and target tracking. One initially defines a so-called spherical world which can be further mapped into many other different topologies using a series of diffeomorphic transformations. This specific configuration further allows one to exploit the main advantages of the sum function approach with respect to the obstacle collision avoidance capabilities of an agent, sum function which is used in order to induce an effective navigation function judging not only from computational perspective, but also from the local minima point of view. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Topology

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An ANN-Enhanced Approach for Flatness-Based Constrained control of Nonlinear systems

arXiv

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arXiv 2025年

作者： Do, Huu-Thinh Prodan, Ionela Stoican, Florin Univ. Grenoble Alpes Grenoble INP LCIS ValenceF-26000 France Institute of Engineering and Management University Grenoble Alpes France Department of Automatic Control and Systems Engineering UPB Romania

Neural networks have proven practical for a synergistic combination of advanced control techniques. This work analyzes the implementation of rectified linear unit neural networks to achieve constrained control in differentially flat systems. Specifically, the class of flat systems enjoys the benefit of feedback linearizability, i.e., the systems can be linearized by means of a proper variable transformation. However, the price for linearizing the dynamics is that the constraint descriptions are distorted geometrically. Our results show that, by using neural networks, these constraints can be represented as a union of polytopes, enabling the use of mixed-integer programming tools to guarantee constraint satisfaction. We further analyze the integration of the characterization into efficient settings such as control Lyapunov function-based and model predictive control (MPC). Interestingly, this description also allows us to explicitly compute the solution of the MPC problem for the nonlinear system. Several examples are provided to illustrate the effectiveness of our framework. © 2025, CC BY-NC-ND.

关键词： Mixed-integer linear programming

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Big-Data Modeling Based Simscape Power systems-ST for Protective Relaying

Big-Data Modeling Based Simscape Power Systems-ST for Protec...

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Power, Energy and Electrical engineering (CPEEE), International Conference on

作者： Raoult Teukam Dabou Innocent Kamwa Atieh Delavari Fouad Slaoui Hasnaoui Department of Electrical Engineering University of Québec in Abitibi-Témiscamingue Rouyn-Noranda Canada Department of Electrical Engineering Laval University Québec Canada Power Systems Control & Management Hydro-Québec Research Institut (IREQ) Varennes Canada

ISBN: (数字)9798331520090

ISBN: (纸本)9798331520106

This paper introduces novel methodologies for generating Big Data using specialized technology libraries (SPS-ST) in Matlab/Simscape Power systems. A dedicated Matlab script is developed for simulating three IEEE standard benchmarks. Thousands of contingencies, such as line faults, generator losses, and load switches, are simulated to generate the database. During each simulation, twelve pieces of information are recorded to facilitate the implementation of artificial intelligence-based relay algorithms and the identification of early catastrophic indicators of the power systems stability. Furthermore, this database allows to modernize and develop the new protections functions. The load-flow convergence and dynamic systems response serve as criteria for verifying the correctness of implementation. The IEEE 39, 68 and 145 test systems with solar photovoltaic power plant (WECC PV) integration can be used to generate extensive training and testing databases simultaneously. The model is available in Matlab-Central file exchange platform, facilitating power systems training, research, and development endeavors.

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Optimal Placement of Nature-Based Solutions for Urban Challenges

arXiv

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arXiv 2025年

作者： Pinto, Diego Maria Russo, Davide Donato Sudoso, Antonio M. Institute for Systems Analysis and Computer Science "Antonio Ruberti" National Research Council Via dei Taurini 19 Rome00185 Italy Department of Computer Control and Management Engineering "Antonio Ruberti" Sapienza University of Rome Via Ariosto 25 Rome00185 Italy

Increased urbanization and climate change intensify urban heat islands and degrade air quality, making current mitigation strategies insufficient. Nature-based solutions (NBSs), such as parks, green walls, roofs, and street trees, offer a promising means to regulate urban temperatures and enhance air quality. However, determining their optimal placement to maximize environmental benefits remains a pressing challenge. Leveraging Operational Research (OR) tools, we propose a Mixed-Integer Linear Programming (MILP) model that integrates multiple factors, including urban challenges, physical constraints, clustering techniques, convolution theory, and fairness considerations. This model determines the optimal placement of NBSs by addressing metrics such as ground temperature, air quality, and accessibility to green spaces. Through several case study analyses, we demonstrate the effectiveness of our approach in improving environmental and social indicators. This research holds implications for policy and practice, empowering urban planners and policymakers to make informed decisions regarding NBS implementation. Such decisions ensure that investments in urban greening yield maximum environmental, social, and economic benefits. Copyright © 2025, The Authors. All rights reserved.

关键词： Mixed-integer linear programming

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Task Assignment Scheme Designed for Online Urban Sensing Based on Sparse Mobile Crowdsensing

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IEEE Internet of Things Journal 2025年第11期12卷 17791-17806页

作者： Hongjian Zeng Yonghua Xiong Jinhua She Anjun Yu School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Engineering Tokyo University of Technology Hachioji Tokyo Japan Operation Management Department Jiangxi Ganyue Expressway Company Ltd. Nanchang Jiangxi China

Sparse mobile crowdsensing (SMCS) achieves urban-scale environmental sensing by assigning tasks to workers in specific subareas and inferring global data from the collected information. However, the effectiveness of SMCS is often limited because many studies overlook workers’ mobility and data collection time during subarea selection, as well as the time constraints of the sensing cycle in task assignment. This may affect the task completion timeliness and data quality. To address these issues, we develop a subarea evaluation method based on deep reinforcement learning, considering both the temporal effectiveness of sensing tasks and the importance of subarea selection for data inference. Using the subarea evaluation values derived from this method, we establish an online urban sensing task assignment model which is subject to constraints of sensing cycle time and cost budget. This model aims to find the task assignment result that minimizes data inference error by maximizing the comprehensive utility value. Considering the characteristics of the task assignment model, we propose an evolutionary algorithm named OTA-EA, which is based on an improved genetic algorithm. Its enhanced evolutionary operators can avoid generating infeasible solutions while maintaining robust search and optimization performance. Lastly, we conduct experimental evaluations of these methods on the real-world datasets. The results demonstrate that our subarea evaluation method can significantly reduce the data inference error, and our evolutionary task assignment algorithm can achieve better task assignment results than the baseline algorithms.

关键词： Sensors Costs Time factors Data collection Crowdsensing Evolutionary computation Data integrity Optimization Inference algorithms Mobile computing

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Sustainable management of iron ore extraction processes using methods of borehole hydro technology

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International Journal of Mining and Mineral engineering 2025年第1期16卷 92-112页

作者： Kosenko, Andrii Khomenko, Oleh Kononenko, Maksym Polyanska, Alla Buketov, Valentyn Dychkovskyi, Roman Polański, Jaroslaw Howaniec, Natalia Smolinski, Adam Department of Rock Mass Condition Control Poliakov Institute of Geotechnical Mechanics National Academy of Sciences of Ukraine Symphyropilska Str. 15 DniproUA-490005 Ukraine Department of Mining Engineering and Education Dnipro University of Technology Yavornytskoho Ave. 19 DniproUA-49005 Ukraine Department of Transport Systems and Energy-Mechanical Complexes Dnipro University of Technology Yavornytskoho Ave. 19 DniproUA-49005 Ukraine Faculty of Management AGH University of Science and Technology al. Mickiewicza 30 Krakow30059 Poland Institute of the Center of Renewable Energy and Energy Efficiency Universidad Nacional de San Agustin de Arequipa San Agustin Street 107 ArequipaPE-04000 Peru Faculty of Science and Technology Institute of Chemistry University of Silesia Szkolna 9 Katowice40-006 Poland Department of Energy Saving and Air Protection Central Mining Institute Plac Gwarkow 1 Katowice40-166 Poland

The development of rich iron ore deposits in the Kryvyi Rih Basin is carried out by underground methods at considerable depths. This mining method is characterised by high labour, capital and operating costs. In the paper, the experimental research on the establishment of rational parameters of borehole hydrotechnology for the sustainable management of iron ore extraction processes of martite ore deposits at considerable depths. Based on the experimental studies, mathematical expressions have been derived to calculate the rational parameters for borehole disintegration of martite ore masses using rotating water jets. Dependencies between the structural and morphological characteristics and the fracturing of martite ores, as well as the parameters of influence of water control, were identified. It was found that the use of borehole hydrotechnology ensures selective exposure of ore-forming minerals. As a result, the ore quality is improved and the silica mass fraction is reduced, which enables the production of the highest quality iron ore raw materials – superconcentrates. In addition, this technology is a combined ore preparation process that includes beneficiation, grinding, and classification of destruction products based on their particle size composition during their washing. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： Iron ores

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OPTIMAL DUE-DATE DETERMINATION AND SEQUENCING OF N-JOBS ON A SINGLE-MACHINE

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JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY 1984年第5期35卷 433-437页

作者： CHENG, TCE Control and Management Systems Division Engineering Department Cambridge

Given a set of n jobs with deterministic processing times and the same ready times, the problem is to find the optimal processing-time multiple k* for the T.W.K. due-date assignment method, and the optimal sequence σ* to minimize the total amount of missed due-dates. It is found that k* is a constant for a given job set and σ* should be in S.P.T. sequence. After the theoretical treatment, a numerical example is given for discussion. The optimal results can readily be extended to situations in which the processing times are random variables with known means and having the same coefficient of variation. From a practical point of view, the main merit of this paper is that it demonstrates how, under certain production environments in which completion times of the jobs can be anticipated, to determine the optimal due-dates and obtain the optimal sequence.

关键词： scheduling stochastic

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ALGEBRAIC-FUNCTION THEORY IN THE ANALYSIS OF MULTIVARIABLE FEEDBACK-systems

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PROCEEDINGS OF THE INSTITUTION OF ELECTRICAL ENGINEERS-LONDON 1979年第6期126卷 555-562页

作者： POSTLETHWAITE, I Control and Management Systems Division Engineering Department University of Cambridge Cambridge UK

The ‘characteristic locus design method’ is essentially a complex-variable approach, which relies heavily on algebraic-function theory for its rigorous foundation. In the paper, a summary is given of results developed during the past three years from an algebraic-function theoretic approach to the analysis of multivariable feedback systems.

关键词： multivariable control systems characteristic locus design method algebraic function theory control system analysis and synthesis methods stability control system analysis Multivariable control systems closed loop systems multivariable feedback systems Stability in control theory complex variable approach

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