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optimization and H ∞ Performance Analysis for Load Frequency control of Power Systems With Time-Varying Delays

FRONTIERS IN ENERGY RESEARCH 2021年 9卷

作者： Su, Kangyou Li, Yan Chen, Jian Duan, Wenyong Guangdong Baiyun Univ Elect & Informat Engn Dept Guangzhou Peoples R China Yancheng Biol Engn Higher Vocat Technol Sch Undergrad Off Yancheng Peoples R China Yancheng Inst Technol Sch Elect Engn Yancheng Peoples R China

With the development and expansion of the power grid, the load frequency control (LFC) scheme receives sensor signals and outputs control signals through an open communication network with a mass of data and extensive information exchange, which may introduce constant, and time-varying delays. This paper considers the optimization and H-infinity performance problem for LFC of power systems with time-varying delays. Some improved criteria for guaranteeing the stability and H-infinity performance of the closed-loop system with unknown external load disturbances via the Lyapunov stability theory application. An unique delay-dependent proportional-integral (PI) controller and an optimized PI controller are designed for a specified H-infinity performance index and set, respectively. The criteria proposed in this paper are based on linear matrix inequalities (LMIs), which can be easily solved by the MATLAB LMI-Toolbox. Finally, in case studies, the effectiveness of our method is demonstrated.

关键词： optimization and control power system smart grids H (infinity) control load frequency control time delays

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Ensembles of Hyperbolic PDEs: Stabilization by Backstepping

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IEEE TRANSACTIONS ON AUTOMATIC control 2025年第2期70卷 905-920页

作者： Alleaume, Valentin Krstic, Miroslav PSL Res Univ Ecole Mines Paris F-75006 Paris France Univ Calif San Diego Dept Mech & Aerosp Engn La Jolla CA 92093 USA

For the quite extensively developed partial differential equations (PDE) backstepping methodology for coupled linear hyperbolic PDEs, we provide a generalization from finite collections of such PDEs, whose states at each location in space are vector-valued, to previously unstudied infinite (continuum) ensembles of such hyperbolic PDEs, whose states are function-valued. The motivation for studying such systems comes from traffic applications (where driver and vehicle characteristics are continuously parametrized), fluid and structural applications, and future applications in population dynamics, including epidemiology. Our design is of an exponentially stabilizing scalar-valued control law for a PDE system in two independent dimensions, one spatial dimension and one ensemble dimension. In the process of generalizing PDE backstepping from finite to infinite collections of PDE systems, we generalize the results for PDE backstepping kernels to the continuously parametrized Goursat-form PDEs that govern such continuously parametrized kernels. The theory is illustrated with a simulation example, which is selected so that the kernels are explicitly solvable, to lend clarity and interpretability to the simulation results.

关键词： Backstepping Kernel Couplings Vehicles Vectors PD control Vehicle dynamics Analysis of PDEs calculus mathematics optimization and control

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Artificial intelligence integrated grid systems: Technologies, potential frameworks, challenges, and research directions

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RENEWABLE & SUSTAINABLE ENERGY REVIEWS 2025年 211卷

作者： Alam, Md Morshed Hossain, M. J. Habib, Md Ahasan Arafat, M. Y. Hannan, M. A. Univ Technol Sydney Sch Elect & Data Engn Sydney NSW 2007 Australia Sunway Univ Sch Engn & Technol Bandar Sunway 47500 Malaysia

Real-time monitoring and control are crucial for ensuring the resilient, coordinated, and optimal operation of next-generation power systems, such as virtual power plants and microgrids. Artificial intelligence (AI) technologies have great potential for improving the effectiveness of monitoring, controlling, optimizing, and managing energy systems. As such, integrating AI into energy systems is seen as a promising path for developing intelligent grids, especially given the rise of distributed and renewable energy sources and the shift toward net-zero systems. This research explores the latest advancements across various areas of energy systems, revealing the current capabilities of intelligent monitoring and fault detection, control and optimization strategies, and energy management systems. The study delves into the key challenges, methods, findings, and research gaps in these areas. It further outlines a framework and the potential benefits of intelligent grid systems, offering multiple directions for future research to address these gaps. Ultimately, this comprehensive review aims to guide industry experts in the practical application of these innovations.

关键词： Artificial intelligence Intelligent grid system Monitoring and fault detection optimization and control Energy management system smart grid Microgrid Virtual power plant

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Smart Sensors and Smart Data for Precision Agriculture: A Review

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SENSORS 2024年第8期24卷 2647页

作者： Soussi, Abdellatif Zero, Enrico Sacile, Roberto Trinchero, Daniele Fossa, Marco Univ Genoa Dept Informat Bioengn Robot & Syst Engn DIBRIS I-16145 Genoa Italy Politecn Torino Dept Elect & Telecommun iXem Labs I-10129 Turin Italy Univ Genoa Dept Mech Energy Management & Transportat Engn I-16145 Genoa Italy

Precision agriculture, driven by the convergence of smart sensors and advanced technologies, has emerged as a transformative force in modern farming practices. The present review synthesizes insights from a multitude of research papers, exploring the dynamic landscape of precision agriculture. The main focus is on the integration of smart sensors, coupled with technologies such as the Internet of Things (IoT), big data analytics, and Artificial Intelligence (AI). This analysis is set in the context of optimizing crop management, using resources wisely, and promoting sustainability in the agricultural sector. This review aims to provide an in-depth understanding of emerging trends and key developments in the field of precision agriculture. By highlighting the benefits of integrating smart sensors and innovative technologies, it aspires to enlighten farming practitioners, researchers, and policymakers on best practices, current challenges, and prospects. It aims to foster a transition towards more sustainable, efficient, and intelligent farming practices while encouraging the continued adoption and adaptation of new technologies.

关键词： smart sensors precision agriculture smart data optimization and control

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Innovative control Framework for Nonlinear Vibrations of a Balancer System Through Hybrid FPID controller

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JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES 2025年第1期13卷 1-16页

作者： Chaudhary, Abhishek Delhi Technol Univ Elect Engn Dept New Delhi India

PurposeThis paper introduces a modified iteration of the Teaching-Learning-Based optimization (TLBO) algorithm, tailored to fine-tune the constraint parameters of a hybrid Fuzzy Proportional Integral Derivative (F-PID) *** controller is pivotal for the precise balancing and positioning of vibratory rectangular plate in a two-degree-of-freedom ball balancer system (2DOFBB), renowned for its vibratory surface, multivariable complexity and inherent nonlinearity, particularly when subject to unknown disturbances/vibrations. To address this intricate scenario, a meticulously crafted control strategy is deployed to manage the servo angle vibrations of this balancer system. By employing the F-PID controller, the dynamic behavior of the 2DOFBB system is regulated, with its parameters optimized through a modified Teaching-Learning-Based optimization (MTLBO) algorithm. This improves the self-balancing & positioning of system which further minimizes the servo angle vibrations and eliminates the fluctuations from this nonlinear system. The tuned parameters of F-PID controller are given as control input signal to the vibratory balancer system and improved real time operation of ball balancer system is *** mathematical modelling of ball balancer system and mathematics involved in proposed methodology is explained in detail. Comparative analyses demonstrate the superiority of the proposed approach over existing methodologies documented in the literature. The entire process is simulated using the MATLAB/Simulink platform, with integral time absolute error (ITAE) and time response analyses conducted to validate the efficacy of the proposed methodology.

关键词： Nonlinear vibrations Balancing and positioning of vibratory system optimization and control Modified TLBO 2 step hybrid FPID controller

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A Communication-Efficient Local Differentially Private Algorithm in Federated optimization

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IEEE ACCESS 2023年 11卷 58254-58268页

作者： Alam, Syed Eqbal Shukla, Dhirendra Rao, Shrisha Univ New Brunswick Fac Engn J Herbert Smith Ctr Technol Management & Entrepren Fredericton NB E3B 5A3 Canada Int Inst Informat Technol Bangalore Bengaluru 560100 Karnataka India

Federated optimization, wherein several agents in a network collaborate with a central server to achieve optimal social cost over the network with no requirement for exchanging information among agents, has attracted significant interest from the research community. In this context, agents demand resources based on their local computation. Due to the exchange of optimization parameters such as states, constraints, or objective functions with a central server, an adversary may infer sensitive information of agents. We develop a differentially-private additive-increase and multiplicative-decrease algorithm to allocate multiple divisible shared heterogeneous resources to agents in a network. The developed algorithm provides a differential privacy guarantee to each agent in the network. The algorithm does not require inter-agent communication, and the agents do not need to share their cost function or their derivatives with other agents or a central server;however, they share their allocation states with a central server that keeps track of the aggregate consumption of resources. The algorithm incurs very little communication overhead;for m heterogeneous resources in the system, the asymptotic upper bound on the communication complexity isO(m) bits at a time step. Furthermore, if the algorithm converges in K time steps, then the upper bound communication complexity will be O(mK) bits. The algorithm can find applications in several areas, including smart cities, smart energy systems, resource management in the sixth generation (6G) wireless networks with privacy guarantees, etc. We present experimental results to check the efficacy of the algorithm. Furthermore, we present empirical analyses for the trade-off between privacy and algorithm efficiency.

关键词： Differential privacy Resource management Servers Privacy Cost function Costs Complexity theory Additive increase multiplicative decrease algorithm AIMD algorithm differential privacy federated optimization multi-resource allocation heterogeneous resources multi-agent system communication-efficient resource allocation optimization and control

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Dynamic Reliability Management of Multigateway IoT Edge Computing Systems

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IEEE INTERNET OF THINGS JOURNAL 2023年第5期10卷 3864-3889页

作者： Ergun, Kazim Ayoub, Raid Mercati, Pietro Rosing, Tajana Simunic Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA Intel Corp Strateg CAD Lab Hillsboro OR 97124 USA Univ Calif San Diego Dept Comp Sci & Engn La Jolla CA 92093 USA

The emerging paradigm of edge computing envisions to overcome the shortcomings of cloud-centric Internet of Things (IoT) by providing data processing and storage capabilities closer to the source of data. Accordingly, IoT edge devices, with the increasing demand of computation workloads on them, are prone to failures more than ever. Hard failures in hardware due to aging and reliability degradation are particularly important since they are irrecoverable, requiring maintenance for the replacement of defective parts, at high costs. In this article, we propose a novel dynamic reliability management (DRM) technique for multigateway IoT edge computing systems to mitigate degradation and defer early hard failures. Taking advantage of the edge computing architecture, we utilize gateways for computation offloading with the primary goal of maximizing the battery lifetime of edge devices, while satisfying the Quality of Service (QoS) and reliability requirements. We present a two-level management scheme, which work together to 1) choose the offloading rates of edge devices;2) assign edge devices to gateways;and 3) decide multihop data flow routes and rates in the network. The offloading rates are selected by a hierarchical multitimescale distributed controller. We assign edge devices by solving a bottleneck generalized assignment problem (BGAP) and compute optimal flows in a fully distributed fashion, leveraging the subgradient method. Our results, based on real measurements and trace-driven simulation, demonstrate that the proposed scheme can achieve a similar battery lifetime and better QoS compared to the state-of-the-art approaches while satisfying reliability requirements, where other approaches fail by a large margin.

关键词： Logic gates Reliability Internet of Things Quality of service Edge computing Batteries Degradation Computation offloading constrained devices device management edge computing optimization and control

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Experimental Validation of Analytical Predictions for the "Deviant" Density of Oleo-Nanofluids Based on the nanoFin Effect

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ASME OPEN JOURNAL OF ENGINEERING 2024年 3卷 031014页

作者： Bhattacharya, Ritwik Lee, Jonghyun Sen, Anindito Banerjee, Debjyoti Texas A&M Univ Dept Mech Engn 3123 TAMU College Stn TX 77843 USA Texas A&M Univ Microscopy & Imaging Ctr MIC 3123 TAMU College Stn TX 77843 USA Texas A&M Univ J Mike Dept Mech Engn Walker 66 3123 TAMU College Stn TX 77843 USA

Experimental validation of the analytical predictions for the "deviant" density enhancement of nanofluids is presented in this study. Experimental measurements of density were complemented by transmission electron microscopy (TEM) of these nanofluid samples. The analytical model predicts the effective density of the nanofluid as a function of the mass fractions and densities of the nanoparticle, the base solvent, and the "compressed phase" of the solvent encapsulating the nanoparticle. In this study, casein is used as the nanoparticle candidate at a mass fraction of 1% and paraffin oil (which is essentially a phase change material (PCM)) is used as the neat solvent (base fluid). The experimental measurements demonstrate anomalous enhancement of the density of the oleo-nanofluids, which is 7% in excess of the value predicted by the conventional mixing rule (with a measurement uncertainty less than 1.2%). The formation of a compressed phase within the nanofluid domain is responsible for the "surplus" density (deviant density) of the oleo-nanofluid. The predicted values are found to closely match the actual dimensions of the nanostructures measured in the TEM images, hence conclusively validating the numerical model for estimating the magnitude of the deviant density contributed by the compressed phase. This also confirms the presence of a compressed phase (which is a consequence of the "nanoFin effect"), that was investigated and validated in this study. This surplus densification in hydrocarbons (such as PCM and oil-based nanofluids) makes them potentially attractive candidates as radiation shielding materials (e.g., for deep space exploration applications).

关键词： advanced energy systems simulation advanced manufacturing advanced materials and processing simulation advanced materials characterization aerospace heat transfer aerospace systems experimental heat transfer experimental research for nuclear safety experimental techniques experimental/measurement techniques experimentation in fluid mechanics and energetic extended surfaces extended surfaces/fins flows in biological systems flows in porous media fluid control systems fluid flow fluid mechanics/dynamics fluidics heat and mass transfer heat and mass transfer simulation heat energy generation/storage/transfer heat transfer and film cooling heat transfer augmentation techniques heat transfer enhancement hierarchical modeling liquid-solid low temperature heat transfer micro and nano systems design and synthesis of micro/nanoscale heat transfer microfluidics microfluidics and nanofluidics microscale fluid flow and heat and mass transfer microstructural size effect microstructure microstructure effect microstructure property relationships microsystems microtechnology microtexture miniaturization minimally invasive devices mixed convection multi-scale modeling multiphase flow multiphase flow characterization and analysis multiphase flows multiphysics modeling and simulation multi-scale modeling and simulation nano devices nano surface engineering nano systems nanoscale flows nanofluids nanofluids heat transfer nanomanufacturing nanomaterials nanomechanics nanoscale heat transfer nanostructure nanostructure (quantum dot nanowire) nanotechnolgy nanotechnology nanotribology Newtonian flows non-Fourier heat conduction non-newtonian flows nuclear safety and security numerical modeling of heat transfer and fluid flow optimization algorithms optimization and control optimization and design sensitivity analysis of non-linear systems petroleum petroleum engineering petroleum engineering simulation petroleum transport/pipelines/multiphase flow pharmaceuticals phase change materials phase transitions phase change and convective heat

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NETWORK optimization FOR SUSTAINABLE INTEGRATION OF DECENTRALIZED BIOGAS PRODUCTION 18

NETWORK OPTIMIZATION FOR SUSTAINABLE INTEGRATION OF DECENTRA...

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ASME 18th International Conference on Energy Sustainability (ES)

作者： Hubert, David Birkelbach, Felix Hofmann, Rene TU Wien Inst Energy Syst & Thermodynam Getreidemarkt 9-BA A-1060 Vienna Austria

ISBN: (纸本)9780791887899

Facing the urgent need to mitigate anthropogenic climate change, reducing emissions from the combustion of natural gas has become imperative. This is particularly challenging in the steel or cement industry, where high-temperature heat is essential. A promising solution is substituting natural gas with biogas or hydrogen. The typically highly decentralized gas production presents a transportation challenge due to the high costs of pipeline networks. In this paper, we propose a novel Mixed Integer Linear Programming (MILP) formulation to minimize the investment costs of pipeline networks. The pipeline network is modeled dendritically, allowing the efficient connection of multiple production plants and feed points. The topology of the network and the discrete pipe diameters are optimized simultaneously. A significant novelty is the use of a boolean matrix-vector multiplication in our formulation, allowing the usually non-linear formulation to be formulated linearly without loss of information. This enables hitherto unsolvable problems to be solved using highly efficient MILP solvers. The method is demonstrated using a case study with 37 biogas plants and seven feed points in Austria. The optimization results are the topology of the network and the pipe diameters at minimum specific costs of 3.24e/(MWh). The results further highlight the economic efficiency of individual clusters, enabling decision-makers to implement step-by-step network expansion. The proposed method represents a novel contribution to optimizing the construction of gas transport infrastructure for biogas, offering potential applications in the broader context of renewable energy integration.

关键词： optimization and control modeling renewable energy fuels biomass

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Operator-integrated cluster analysis for production quality control 18

Operator-integrated cluster analysis for production quality ...

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18th IFAC Symposium on Information control Problems in Manufacturing (INCOM)

作者： Hoffmann, David Lueder, Arndt Biffl, Stefan Otto von Guericke Univ Inst Ergon Mfg Syst & Automat Fac Mech Engn Magdeburg Germany Tech Univ Wien Inst Informat Syst Engn CDL SQI Vienna Austria Austrian Ctr Digital Prod Vienna Austria

The paper introduces the Quality Clusters for Operators (QC4O) approach, aimed at improving quality control strategies in modern manufacturing. It identifies a dual challenge: the lack of communication between data analysts and operators, along with the insufficient integration of their respective methodologies, hindering the acceptance of novel control strategies. To address these challenges, the paper proposes integrating modern machine learning-based methods with methods used by operators, enhancing usability and acceptance. This integration aims to facilitate better communication and expedite quality decision-making. The approach is demonstrated through its application in hairpin stator production, representing complex manufacturing systems. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： optimization and control Risk Management Multicriteria Decision Making

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