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Convex Hull Based Economic Operating Region for Power Grids Considering Uncertainties of Renewable Energy Sources

Journal of Modern Power Systems and Clean Energy 2024年第5期12卷 1419-1430页

作者： Huating Xu Bin Feng Gang Huang Mingyang Sun Houbo Xiong Chuangxin Guo the College of Electrical Engineering in Zhejiang University HangzhouChina the Department of Control Science and Engineering in Zhejiang University HangzhouChina

The increasing integration of renewable energy sources(RESs)presents significant challenges for the safe and economical operation of power *** the critical need to assess the effect of RES uncertainties on optimal scheduling schemes(OSSs),this paper introduces a convex hull based economic operating region(CH-EOR)for power *** CHEOR is mathematically defined to delineate the impact of RES uncertainties on power grid *** propose a novel approach for generating the CH-EOR,enhanced by a big-M preprocessing method to improve the computational *** on four test systems,the proposed big-M preprocessing method demonstrates notable advancements:a reduction in average operating costs by over 10%compared with the box-constrained operating region(BC-OR)derived from robust ***,the CH-EOR occupies less than 11.79%of the generators'adjustable region(GAR).Most significantly,after applying the proposed big-M preprocessing method,the computational efficiency is improved over 17 times compared with the traditional big-M method.

关键词： Convex hull big-M preprocessing method economic operating region(EOR) renewable energy source(RES) uncertainty

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Exact Box-Constrained Economic Operating Region for Power Grids Considering Renewable Energy Sources

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 514-523页

作者： Huating Xu Bin Feng Chutong Wang Chuangxin Guo Jian Qiu Mingyang Sun College of Electrical Engineering Zhejiang UniversityHangzhou 310027China Department of Control Science and Engineering Zhejiang UniversityHangzhou 310027China

The growing integration of renewable energy sources manifests as an effective strategy for reducing carbon emissions. This paper strives to efficiently approximate the set of optimal scheduling plans(OSPs) to enhance the performance of the steady-state adaptive cruise method(SACM) of power grid, improving the ability of dealing with operational uncertainties. Initially, we provide a mathematical definition of the exact boxconstrained economic operating region(EBC-EOR) for the power grid and its dispatchable components. Following this, we introduce an EBC-EOR formulation algorithm and the corresponding bi-level optimization models designed to explore the economic operating boundaries. In addition, we propose an enhanced big-M method to expedite the computation of the EBCEOR. Finally, the effectiveness of the EBC-EOR formulation, its economic attributes, correlation with the scheduling plan underpinned by model predictive control, and the significant improvement in computational efficiency(over twelvefold) are verified through case studies conducted on two test systems..

关键词： Exact box-constrained economic operating region(EBC-EOR) big-M method intelligent scheduling steady-state adaptive cruise uncertainty renewable energy source

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From Static and Dynamic Perspectives:A Survey on Historical Data Benchmarks of control Performance Monitoring

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 300-316页

作者： Pengyu Song Jie Wang Chunhui Zhao Biao Huang the State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University IEEE the Department of Chemical and Materials Engineering University of Alberta

In recent decades, control performance monitoring(CPM) has experienced remarkable progress in research and industrial applications. While CPM research has been investigated using various benchmarks, the historical data benchmark(HIS) has garnered the most attention due to its practicality and effectiveness. However, existing CPM reviews usually focus on the theoretical benchmark, and there is a lack of an in-depth review that thoroughly explores HIS-based methods. In this article, a comprehensive overview of HIS-based CPM is provided. First, we provide a novel static-dynamic perspective on data-level manifestations of control performance underlying typical controller capacities including regulation and servo: static and dynamic properties. The static property portrays time-independent variability in system output, and the dynamic property describes temporal behavior driven by closed-loop feedback. Accordingly,existing HIS-based CPM approaches and their intrinsic motivations are classified and analyzed from these two ***, two mainstream solutions for CPM methods are summarized, including static analysis and dynamic analysis,which match data-driven techniques with actual controlling behavior. Furthermore, this paper also points out various opportunities and challenges faced in CPM for modern industry and provides promising directions in the context of artificial intelligence for inspiring future research.

关键词： control performance monitoring (CPM) data-driven method historical data benchmark (HIS) industrial process performance index static and dynamic analysis

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Stress analysis and structural optimisation of insulating rods under dynamic and static loads

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High Voltage 2025年第1期10卷 116-125页

作者： Haifeng Jin Lijun Jin Department of Control Science and Engineering Tongji UniversityShanghaiChina

This study aims to provide a theoretical basis for the fatigue characteristics and structural optimisation of insulating rods to enhance their reliability and lifespan in practical *** paper uses COMSOL to complete the stress analysis of insulating rods under dynamic and static loads based on the finite element *** correctness of the model is verified based on the elastic-plastic *** simulation results show that under the same load,the stress concentration area is more affected by the dynamic load,and the stress concentration position is highly consistent with the fracture position of the rod in the *** verifies the impact on the insulating rods at different speeds and static load *** shows that,in cases where the allowable stress is exceeded,as the number of operations increases,the fatigue characteristics will greatly affect the service life of the insulation ***,the fatigue analysis and structural optimisation of the insulating rod were completed,providing important reference values for the long-term stable operation of ultra-high voltage circuit breakers.

关键词： fatigue structural dynamic

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An efficient and robust system for human following scenario using differential robot

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IET Cyber-Systems and Robotics 2024年第1期6卷 15-23页

作者： Jiangchao Zhu Changjia Ma Chao Xu Fei Gao College of Control Science and Engineering Zhejiang UniversityHangzhouChina

A novel system for human following using a differential robot,including an accurate 3‐D human position tracking module and a novel planning strategy that ensures safety and dynamic feasibility,is *** authors utilise a combination of gimbal camera and LiDAR for long‐term accurate human *** the planning module takes the target's future trajectory as a reference to generate a coarse path to ensure the following *** that,the trajectory is optimised considering other constraints and following *** demonstrate the robustness and efficiency of our system in complex environments,demonstrating its potential in various applications.

关键词： human‐robot interaction trajectory optimization visual tracking

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Privacy-preserving filtering, control and optimization for industrial cyber-physical systems

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science China(Information sciences) 2025年第4期68卷 267-283页

作者： Derui DING Qing-Long HAN Xiaohua GE Xian-Ming ZHANG Jun WANG Department of Control Science and Engineering University of Shanghai for Science and Technology School of Engineering Swinburne University of Technology Department of Computer Science City University of Hong Kong

Industrial cyber-physical systems closely integrate physical processes with cyberspace, enabling real-time exchange of various information about system dynamics, sensor outputs, and control decisions. The connection between cyberspace and physical processes results in the exposure of industrial production information to unprecedented security risks. It is imperative to develop suitable strategies to ensure cyber security while meeting basic performance *** the perspective of control engineering, this review presents the most up-to-date results for privacy-preserving filtering,control, and optimization in industrial cyber-physical systems. Fashionable privacy-preserving strategies and mainstream evaluation metrics are first presented in a systematic manner for performance evaluation and engineering *** discussion discloses the impact of typical filtering algorithms on filtering performance, specifically for privacy-preserving Kalman filtering. Then, the latest development of industrial control is systematically investigated from consensus control of multi-agent systems, platoon control of autonomous vehicles as well as hierarchical control of power systems. The focus thereafter is on the latest privacy-preserving optimization algorithms in the framework of consensus and their applications in distributed economic dispatch issues and energy management of networked power systems. In the end, several topics for potential future research are highlighted.

关键词： industrial cyber-physical systems privacy preservation distributed control distributed optimization power systems

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Habitual Daily Intake of Fried Foods Raises Transgenerational Inheritance Risk of Heart Failure Through NOTCH1-Triggered Apoptosis

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Research 2025年第1期2024卷 647-664页

作者： Anli Wang Xuzhi Wan Fanghuan Zhu Haoyin Liu Xiaoran Song Yingyu Huang Li Zhu Yang Ao Jia Zeng Binjie Wang Yuanzhao Wu Zhongshi Xu Jiye Wang Weixuan Yao Haoyu Li Pan Zhuang Jingjing Jiao Yu Zhang Department of Gastroenterology The First Affiliated HospitalZhejiang University School of MedicineZhejiang Key Laboratory for Agro-Food ProcessingCollege of Biosystems Engineering and Food ScienceZhejiang UniversityHangzhouZhejiangChina Department of Endocrinology The Second Affiliated HospitalDepartment of NutritionSchool of Public HealthZhejiang University School of MedicineHangzhouZhejiangChina Key Laboratory of Drug Prevention and Control Technology of Zhejiang Province Department of Criminal Science and TechnologyZhejiang Police CollegeHangzhouZhejiangChina

Consumption of fried foods is highly prevalent in the Western dietary *** diet has been unfavorably linked with high risk of developing cardiovascular *** failure(HF)as a cardiovascular disease subtype is a growing global pandemic with high morbidity and ***,the causal relationship between long-term fried food consumption and incident HF remains *** population-based study revealed that frequent fried food consumption is strongly associated with 15%higher risk of *** causal relationship may be ascribed to the dietary acrylamide exposure in fried *** cross-sectional study evidenced that acrylamide exposure is associated with an increased risk of ***,we discover and demonstrate that chronic acrylamide exposure may induce HF in zebrafish and ***,we reveal that acrylamide induces energy metabolism disturbance in heart due to the mitochondria dysfunction and metabolic ***,acrylamide exposure induces myocardial apoptosis via inhibiting NOTCH1-phosphatidylinositol 3-kinase/AKT *** addition,acrylamide exposure could affect heart development during early life stage,and the adverse effect of acrylamide exposure is a threat for next generation via epigenetic change evoked by DNA methyltransferase 1(DNMT1).In this study,we reveal the adverse effects and underlying mechanism of fried foods and acrylamide as a typical food processing contaminant on HF from population-based observations to experimental ***,these results both epidemiologically and mechanistically provide strong evidence to unravel the mechanism of acrylamide-triggered HF and highlight the significance of reducing fried food consumption for lower the risk of HF.

关键词： fried foods acrylamide western dietary pattern heart failure transgenerational inheritance notch triggered apoptosis

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Internal and external disturbances aware motion planning and control for quadrotors

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IET Cyber-Systems and Robotics 2024年第3期6卷 23-30页

作者： Xiaobin Zhou Miao Wang Can Cui Yongchao Wang Chao Xu Fei Gao Institute of Cyber‐Systems and Control College of Control Science and EngineeringZhejiang UniversityHangzhouChina Huzhou Institute Zhejiang UniversityHuzhouChina

Resilient motion planning and control,without prior knowledge of disturbances,are crucial to ensure the safe and robust flight of *** development of a motion planning and control architecture for quadrotors,considering both internal and external disturbances(i.e.,motor damages and suspended payloads),is ***,the authors introduce the use of exponential functions to formulate trajectory *** choice is driven by its ability to predict thrust responses with minimal computational ***,a reachability analysis is incorporated for error dynamics resulting from multiple *** analysis sits at the interface between the planner and controller,contributing to the generation of more robust and safe spatial–temporal ***,the authors employ a cascade controller,with the assistance of internal and external loop observers,to further enhance resilience and compensate the *** authors’benchmark experiments demonstrate the effectiveness of the proposed strategy in enhancing flight safety,particularly when confronted with motor damages and payload disturbances.

关键词： Internal and external disturbances reachability analysis resilient motion planning and tracking

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Distributed coordination control of multi-agent systems under intermittent sampling and communication: a comprehensive survey

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science China(Information sciences) 2025年第5期68卷 289-331页

作者： Xiaohua GE Qing-Long HAN Xian-Ming ZHANG Derui DING Boda NING School of Engineering Swinburne University of Technology Department of Control Science and Engineering University of Shanghai for Science and Technology Department of Electrical and Electronic Engineering Auckland University of Technology

Sampling and communication are both crucial for coordination in multi-agent systems(MASs), with sampling capturing raw data from the environment for control decision making, and communication ensuring the data is shared effectively for synchronized and informed control decisions across agents. However, practical MASs often operate in environments where continuous and synchronous data samplings and exchanges are impractical, necessitating strategies that can handle intermittent sampling and communication constraints. This paper provides a comprehensive survey of recent advances in distributed coordination control of MASs under intermittent sampling and communication, focusing on both foundational principles and state-of-the-art techniques. After introducing fundamentals, such as communication topologies,agent dynamics, control laws, and typical coordination objectives, the distinctions between sampling and communication are elaborated, exploring deterministic versus random, synchronous versus asynchronous, and instantaneous versus sequential scenarios. A detailed review of emerging trends and techniques is then presented, covering time-triggered, event-triggered,communication-protocol-based, and denial-of-service-resilient coordination control. These techniques are analyzed across various attack models, including those based on data loss, sampled data, time constraints, and topology switching. By synthesizing these developments, this survey aims to equip researchers and practitioners with a clearer understanding of current challenges and methodologies, concluding with insights into promising future directions.

关键词： multi-agent systems distributed coordination control sampled-data control event-triggered control resilient control denial-of-service attacks communication protocols event-triggered mechanisms

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Toward Universal controller: Performance-Aware Self-Optimizing Reinforcement Learning for Discrete-Time Systems With Uncontrollable Factors

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3249-3260页

作者： Zhang, Jianfeng Zhang, Haoran Zhao, Chunhui Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China

The industrial system usually contains not only controllable variables (CVs) but also uncontrollable variables (unCVs), e.g., weather conditions and friction. These unCVs have a direct impact on system control performance. Despite the success of current deep reinforcement learning (DRL) control algorithms, most of them neglect the impact of unCVs, which can cause the deterioration of control performance and instability of the system. To perceive and eliminate the impact of unCVs, a performance-aware self-optimizing universal controller (PASOUC) is designed in this article. The PASOUC aims at integrating the representation of unCVs and controller design to perceive and eliminate the impact of unCVs under different conditions, which goes beyond most existing control methods. Technically, a historical trajectory-inspired control performance perceptron is developed to perceive the impact of unCVs on system control performance under different conditions. Subsequently, a new performance-aware reward is designed to integrate the representation of unCVs and controller design while training the DRL controller. In addition, the domain randomization (DR) training strategy is employed to learn a universal control policy, which can access the approximate optimal trajectory under nonideal conditions. In this way, the impact of unCVs can be eliminated. To handle the low efficiency of the DR training, the policy improvement-policy proximal optimization (PI-PPO) is proposed to enhance the convergence speed of the DR training by performing explicit policy improvement. Finally, illustrative examples are presented to demonstrate the superiority of the proposed method. © 2013 IEEE.

关键词： Deep reinforcement learning

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