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International Conference on engineering, Applied Sciences, and Technology (ICEAST)

作者： Nattapon Marukatat Thanatorn Mai-eiam Punyavee Chaisiri Jedsada Raxsa Phethai Nimsanong Peerawut Yutthagowith School of Engineering King Mongkut's Institute of Technology Ladkrabang Ladkrabang Bangkok Thailand Power System Control Department Power System Analysis Section Metropolitan Electricity Authority Bangkok Thailand

In this paper, the partial discharge (PD) characteristics under the voltage at frequencies in the range of 20 Hz to 300 Hz are studied. Three main types of PD being corona, surface and internal discharges are simulated by an arrangement of electrodes in test cells. The effects of voltage frequency on the PD characteristics in terms of PD inception voltage (PDIV), PD extinction voltage (PDEV), and phase-resolved PD (PRPD) patterns have been reported from the experimental results. It is found that in the frequency range of 20 Hz to 300 Hz there is no frequency effect on the PD characteristics (PDIV, PDEV, and PRPD) found in cases of corona and surface discharge. However, the frequency effects are found in the case of the internal discharge representing the higher frequency increase the higher PDIV and PDEV are.

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Research on Asymmetric Fault Ride Through control Strategy for Wind Power Based on Three Sequence Current

Research on Asymmetric Fault Ride Through Control Strategy f...

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Electrical Automation and Artificial Intelligence (ICEAAI), International Conference on

作者： Lu Miao Wei Fan Yu Liu Yang Yi Deyang Chen Yingjie Qin Lu Yan System Analysis Department Power Dispatch Control Center Guangdong Power Grid Co. Guangzhou China Power Dispatching Control Center Guangdong Power Grid Corporation Guangzhou China School of Electric Power Engineering South China University of Technology Guangzhou China

ISBN: (数字)9798331506797

ISBN: (纸本)9798331506803

Asymmetric faults in wind farms may cause fluctuations in active and reactive power, leading to a sharp drop in voltage. In order to reduce the impact of negative sequence current components, balance power fluctuations, and assist in wind turbine low-voltage fault crossing, the power model of grid connected converters during asymmetric faults in wind farms is analyzed, and traditional asymmetric fault control strategies are improved. A wind power asymmetric fault crossing control strategy based on zero sequence current is proposed, zero sequence currents are introduced to construct a zero sequence current control loop, which reduces the negative sequence current component generated by asymmetric faults in the wind farm and the fluctuation of active power in the wind farm, stabilizes the bus voltage. Finally, simulation confirms that the zero sequences current component improves the distribution of positive and negative sequence power, and reduces the fluctuation of grid connected current.

关键词： Current control Reactive power Fluctuations Voltage fluctuations Power quality Wind farms Wind power generation Power system stability Automatic voltage control Wind turbines

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Blockchain Based Cloud Authentication Framework for Digital Identity Management in Smart City

Blockchain Based Cloud Authentication Framework for Digital ...

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Information Technology, Applied Mathematics and Statistics (ICITAMS), International Conference on

作者： Alexander A. Varfolomeev Liwa H. Al-Farhani Information Security Department BMSTU NRNU MEPhI RUDN University MOSCOW RUSSIA System analysis control and information processing dep Academy of Engineering RUDN University MOSCOW RUSSIA

ISBN: (数字)9798350335118

ISBN: (纸本)9798350335125

The smart city environment includes dozens or even hundreds of various services in various areas of interest to users and aimed at improving the standard of living. These include services related to very sensitive aspects such as health, education, banking, and services that have a secret aspect. Cloud service providers need user data in order to be able to authenticate him in order to be able to access and access the desired service. Therefore, confidentiality, privacy and security are essential conditions for this type of communication. This type of complex and intrusive services leads to the need to provide effective solutions and mechanisms for authentication processes based on digital identity information. The process of building and managing trust between service providers and users needs a system of standards, so this paper provides a framework based on the archived behavior of users and cloud service providers operating within the approved trust circle in a smart environment based on the blockchain and its advantages in reliability, transparency and decentralization, while providing a mathematical model for evaluating and calculating trust standards for all subscribers as a basis for completing the authentication process and accessing services.

关键词： Privacy Smart cities Education Authentication Mathematical models Blockchains Security

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Development of Modern Forecasting Models 16

Development of Modern Forecasting Models

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16th International Conference Management of Large-Scale system Development, MLSD 2023

作者： Ivanyuk, Vera Shuvalov, Konstantin Akhobadze, Gurami Malekova, Victoria Mikhailov, Alexey Levchenko, Kiril Financial University under the Government of the Russian Federation Department of Data Analysis and Machine Learning Moscow Russia Bauman Moscow State Technical University Department of Higher Mathematics Moscow Russia V.A.Trapeznikov Institute of Control Sciences of Ras Laboratory of Management of Large-Scale System Development Moscow Russia V. A.Trapeznikov Institute of Control Sciences of Ras Laboratory of Network Systems Control Moscow Russia Financial University under the Government of the Russian Federation Department of Financial Markets and Financial Engineering Moscow Russia Financial University under the Government of the Russian Federation Department of Mathematics Moscow Russia

ISBN: (纸本)9798350337907

关键词： Forecasting

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On Variational Model in Sobolev-Orlicz Spaces for Spatiotemporal Interpolation of Multi-Spectral Satellite Images 3

On Variational Model in Sobolev-Orlicz Spaces for Spatiotemp...

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3rd IEEE International Conference on system analysis and Intelligent Computing, SAIC 2022

作者： Kogut, Peter Kupenko, Olga Manzo, Rosanna Pipino, Claudia Oles Honchar Dnipro National University Eos Data Analytics Ukraine Department of Differential Equations Dnipro Ukraine Ntu 'Dnipro University of Technology' Department of System Analysis and Control Dnipro Ukraine University of Salerno Department of Information Engineering Electrical Engineering and Applied Mathematics Italy University of Salerno Dipartimento di Scienze Aziendali Management and Innovation Systems Italy

ISBN: (数字)9798350396744

ISBN: (纸本)9798350396744

We propose a new two-level variational model in Sobolev-Orlicz spaces with non-standard growth conditions of the objective functional and discuss its applications to the spatiotemporal interpolation of multi-spectral satellite images. At the first level, we deal with the temporal interpolation problem that can be cast as a state constrained optimal control problem for anisotropic convection-diffusion equation, whereas at the second level we solve a constrained minimization problem with a nonstandard growth energy functional that lives in variable Sobolev-Orlicz spaces. The characteristic feature of the proposed model is the fact that the variable exponent, which is associated with non-standard growth in spatial interpolation problem, is unknown a priori and it depends on the solution of the first-level optimal control problem. It makes this spatiotemporal interpolation problem rather challenging. In view of this, we discuss the consistency of the proposed model, study the existence of optimal solutions, and derive the corresponding optimality systems. In particular, we apply this approach to the well-known prediction problem of the Daily MODIS Surface Reflectance at the Landsat-Like Resolution. © 2022 IEEE.

关键词： Image reconstruction

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New WHO global air quality guidelines help prevent premature deaths in China

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National Science Review 2022年第4期9卷 10-12页

作者： Tao Xue Guannan Geng Xia Meng Qingyang Xiao Yixuan Zheng Jicheng Gong Jun Liu Wei Wan Qiang Zhang Haidong Kan Shiqiu Zhang Tong Zhu Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics School of Public HealthPeking University State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentTsinghua University School of Public Health Key Laboratory of Public Health Safety of the Ministry of Educationand Key Laboratory of Health Technology Assessment of the Ministry of HealthFudan University Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental Planning College of Environmental Sciences and Engineering Peking University School of Energy and Environmental Engineering University of Science and Technology Beijing Clean Air Asia Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua University

The air quality guidelines （AQGs） issued by the World Health Organization （WHO） in 2005 are key references for the National Ambient Air Quality Standards （NAAQSs） in *** 22September 2021,the WHO issued new AQGs （NAQGs）[1],which propose more stringent targets to control exposure to multiple air pollutants,including fine particulate matter (PM2.5) and ozone （O3）,to which,in 2019,451 million premature deaths,globally,were attributable [2].

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Hybrid Double Deep Q Network for Active Distribution Network Equivalent Modeling

Hybrid Double Deep Q Network for Active Distribution Network...

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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Yingjie Qin Wenhao Wang Jiehui Zheng Zhigang Li Q.H. Wu System Analysis Department of Electric Dispatching and Control Center of Guangdong Power Grid Co. Ltd Guangdong China South China University of Technology School of Electric Power Engineering Guangdong China

As more and more distributed renewable energy generation is connected to the active distribution network (ADN), the power interaction between the ADN and the backbone network becomes more complex. In addition, due to the lack of numerous branches of power measurement units, it is difficult to accurately simulate the power flow in ADN. Therefore, we proposes an equivalent model of ADN, consisting of a motor and a synthetic ZIP load. Equivalent modeling utilizes a Hybrid double deep Q-network (HDDQN) to track the dynamics of the original ADN, using a small amount of power measurements in the boundary to achieve high accuracy. In HDDQN, select the types of ZIP loads and motors from the load pool to obtain the dynamic equivalent modeling of the first layer ADN. Through the powerful feature extraction ability of deep learning and the optimization decision-making ability of reinforcement learning, determine the weight of the model, and obtain the $PQ$ components of the motor and ZIP loads in the second layer. The results indicate that HDDQN can accurately equivalent ADN compare with DQN.

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Data-driven Model Based Online Fault Detection Using OMP-ERR 4

Data-driven Model Based Online Fault Detection Using OMP-ERR

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4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Zhou, Guangze Luo, Zhong Zhu, Yunpeng Gao, Yi Wang, Zhiao Northeastern University School of Mechanical Engineering and Automation Shenyang110819 China Northeastern University Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of China Shenyang110819 China Dalian University of Technology State Key Laboratory of Structural Analysis for Industrial Equipment Dalian116024 China University of Sheffield Department of Automatic Control and System Engineering SheffieldS13JD United Kingdom

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

Model based online fault detection often conducted by extracting features from models driven by system input and output data under various working conditions. The efficiency of online system modelling is therefore significant to improve the performance of online fault detections. In this study, a novel fast data-driven modelling approach, known as the OMP (Orthogonal Matching Pursuit)- ERR (Error Reduction Ratio) method is proposed to improve the efficiency of online fault detections. The new system identification method is motivated by noticing that the traditional OMP algorithm is much faster but usually less accurate than the OLS (Orthogonal least squares) algorithm in the identification of system NARX (Nonlinear Auto-Regressive with Exogenous inputs) models. The problem is first illustrated by the identification of a Single Degree of Freedom (SDoF) system. After that, the OMP-ERR algorithm is developed to improve the NARX modelling efficiency for the purpose of system model-based online fault detections. A case study on the crack detection of a cantilever beam shows that the new approach is over 10 times faster than the traditional OLS modelling process, demonstrating the promising applications of the new approach in online fault detections in engineering practice. © 2022 IEEE.

关键词： Least squares approximations

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Fog-Cloud-IoT Enabled WSN Architecture 3

Fog-Cloud-IoT Enabled WSN Architecture

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3rd International Conference on Intelligent engineering and Management, ICIEM 2022

作者： Anitha Christy Angelin, P. Samuel Devakumar, P.V. Al-Farhani, Liwa H. Kumar, Gandam Vijay Deep, Shaurya Mohammad, Shoaib PSNA College of Engineering and Technology Tamilnadu Dindigul India Karunya Institute of Technology and Sciences Tamilnadu Coimbatore India RUDN University System Analysis Control and Information Processing Academy of Engineering Moscow Russia Career Point University Computer Science and Engineering Rajasthan India IIMT College of Management Greater Noida India IMS Unison University Department of Law Uttarakhand Dehradun India

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

Remote Because of the exciting innovation it introduces, the WSN likely to be a subject of research in recent time. Because of the impromptu distant connections, adaptability, and simplicity of execution, this has all the makings of becoming the most maintainable innovation for ecological detecting, whether it's about limited or huge scope watching. In any case, the main drawbacks stem from the limited capacity, processing, and accessibility of organization centers for information. Virtual machines resources have been adopted to overcome such constraints, devices to expanded capacity, computation, and easy-to-understand availability. This was a natural progression from traditional WSN designs among pattern in recent theories evolved along advent of Internet-of-Things advancements. Against the growing popularity of WSN associated cloud checking frameworks, still the issues are detected because of the distributed comp ting's disadvantages, like dormancy with the capacity charges. In this paper, the advancements achieved to a fog-cloud-IoT associated with WSN architecture of putting a bit of computing at the network part are elaborated, a process, which follows the smart Fog associated with Cloud-computing concept of dissecting also following up on IoT data. A similar investigation was carried out to illustrate the improvements made possible by processing at the organization's edge. © 2022 IEEE.

关键词： Fog computing

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Nature-inspired dynamic control for pursuit-evasion of robots

arXiv

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arXiv 2024年

作者： Zhou, Panpan Li, Sirui Zhao, Benyun Wahlberg, Bo Hu, Xiaoming Department of Mathematics KTH Royal Institute of Technology Stockholm Sweden Department of Transport and System Analysis KTH Royal Institute of Technology Stockholm Sweden Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong Division of Decision and Control Systems KTH Royal Institute of Technology Stockholm Sweden

The pursuit-evasion problem is widespread in nature, engineering, and societal applications. It is commonly observed in nature that predators often exhibit faster speeds than their prey but have less agile maneuverability. Over millions of years of evolution, animals have developed effective and efficient strategies for both pursuit and evasion. In this paper, we provide a dynamic framework for the pursuit-evasion problem of unicycle systems, drawing inspiration from nature. First, we address the scenario involving one pursuer and one evader by proposing an Alert-Turn control strategy, which consists of two efficient ingredients: a sudden turning maneuver and an alert condition for starting and maintaining the maneuver. We present and analyze the escape and capture results at two levels: a lower level of a single run and a higher level with respect to parameters’ changes. In addition, we provide a theorem with sufficient conditions for capture. The Alert-Turn strategy is then extended to more complex scenarios involving multiple pursuers and evaders by integrating aggregation control laws and a target-changing mechanism. By adjusting a ‘selfish parameter’, the aggregation control commands produce various escape patterns of evaders: cooperative mode, selfish mode, as well as their combinations. The influence of the selfish parameter is quantified, and the effects of the number of pursuers and the target-changing mechanism are explored from a statistical perspective. Our findings align closely with observations in nature. Finally, the proposed control strategies are validated through numerical simulations that replicate some chasing behaviors of animals in nature. Copyright © 2024, The Authors. All rights reserved.

关键词： Animals

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