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controllable reactor based hybrid HVDC breaker

High Voltage 2020年第5期5卷 543-548页

作者： Amir Heidary Mehdi Bigdeli Kumars Rouzbehi Department of Electrical Engineering Zanjan BranchIslamic Azad UniversityZanjanIran 2Department of System Engineering and Automatic ControlUniversity of SevilleSevilleSpain

Short circuit fault occurrence in high-voltage DC (HVDC) systems causes extremely high currents in a fast raising time that does not experience current zero-crossing. To protect HVDC systems/grids against fault current, fast HVDC breaker is an essential equipment. This study presents the design procedure of a novel HVDC breaker based on solid-state controllable reactor which is able to reduce the fault current's rate of rise and fault current amplitude to less than grid nominal current in the breaking process. The main achievement of the proposed HVDC breaker is that not only breaker does not encounter fault current, but also none of the series HVDC equipment is influenced by the fault. The designed breaker performance is studied by PSCAD/EMTPS, and then the simulation results are validated by the developed laboratory experimental setup.

关键词： fault EMTP nominal

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Development of a Portable Image-Based Plantar Pressure Measurement system

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Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao 2021年第2期42卷 141-149页

作者： Kaewwichit, Thossaporn Tseng, Chien-Hsun Su, Ke-Han Chang, Chong-Ching Department of Mechanical Engineering Technology King Mongkut's University of Technology North Bangkok Bangkok Thailand Department of Information Engineering Kun Shan University Tainan71070 Taiwan Department of Automatic Control Engineering Feng Chia University Taichung40724 Taiwan Graduate Institute of Mechatronic System Engineering National University of Tainan Tainan70005 Taiwan

Plantar pressure has been generally used to refer to the physical force exerted between the sole of the foot and ground contact during daily activities. Measuring plantar pressure provides data on foot in gait and posture, which is useful in footwear design, and other health-related applications for lower limb treatment and injury prevention. Therefore, to acquire accurate measurement of planta pressure is of paramount importance. To do so in a convenient and efficient fashion, this study developed a portable image-based plantar pressure measurement system. A portable pressure image box (PIB), which could be operated with any kind of portable photo-taking devices that are able to produce images with highly quantitative accuracy, was equipped to capture the needed plantar image. Based on the measurement data from 11 subjects, the performance indices of statistical metrics on mean square error (MSE) and normalized absolute error (NAE) of the 198 footprints show that the proposed PIB system could exhibit close agreement with the sensor-based Tactile pressure measurement system (TP) as a measurement reference. When compared with the high-cost image-based scanning machine (SM) system, the proposed PIB also showed better performance on plantar pressure measurement. The findings suggested the proposed PIB system could be another economical and viable option for plantar pressure measurement in assistive devices for footwear design or customized insole manufacturing. © 2021, Chinese Mechanical engineering Society. All right reserved.

关键词： Mean square error

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Physics-informed neural networks for parameter learning of wildfire spreading

arXiv

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arXiv 2024年

作者： Vogiatzoglou, Konstantinos Papadimitriou, C. Bontozoglou, V. Ampountolas, K. System Dynamics Laboratory Department of Mechanical Engineering University of Thessaly Volos38334 Greece Transport Processes & Process Equipment Laboratory Department of Mechanical Engineering University of Thessaly Volos38334 Greece Automatic Control & Autonomous Systems Laboratory Department of Mechanical Engineering University of Thessaly Volos38334 Greece

Wildland fires pose a terrifying natural hazard, underscoring the urgent need to develop datadriven and physics-informed digital twins for wildfire prevention, monitoring, intervention, and response. In this direction of research, this work introduces a physics-informed neural network (PiNN) designed to learn the unknown parameters of an interpretable wildfire spreading model. The considered modeling approach integrates fundamental physical laws articulated by key model parameters essential for capturing the complex behavior of wildfires. The proposed machine learning framework leverages the theory of artificial neural networks with the physical constraints governing wildfire dynamics, including the first principles of mass and energy conservation. Training of the PiNN for physics-informed parameter identification is realized using synthetic data on the spatiotemporal evolution of one- and two-dimensional firefronts, derived from a high-fidelity simulator, as well as empirical data (ground surface thermal images) from the Troy Fire that occurred on June 19, 2002, in California. The parameter learning results demonstrate the predictive ability of the proposed PiNN in uncovering the unknown coefficients of the wildfire model in one- and two-dimensional fire spreading scenarios as well as the Troy Fire. Additionally, this methodology exhibits robustness by identifying the same parameters even in the presence of noisy data. By integrating this PiNN approach into a comprehensive framework, the envisioned physics-informed digital twin will enhance intelligent wildfire management and risk assessment, providing a powerful tool for proactive and reactive strategies. Copyright © 2024, The Authors. All rights reserved.

关键词： Risk assessment

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Monte-Carlo-based simulation and investigation of 230 kV transmission lines outage due to lightning

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High Voltage 2020年第1期5卷 83-91页

作者： Ehsan Karami Ahmad Khalilinia Afshar Bali Kumars Rouzbehi Electrical Engineering Department Sharif University of TechnologyTehranIran West Regional Electric Company KermanshahIran Department of System Engineering and Automatic Control University of Seville41004 SevilleSpain

Here,using the probabilistic evaluation based on the Monte Carlo method,back-flashover rate and shielding failure flashover rate of 230 kV overhead transmission lines in the western regions of Iran are *** such an aim,first,the number of thunderstorm days per year is collected from the reported weather information in order to determine the ground flash ***,using MRU-200 equipment,the tower-footing resistance of several towers is ***®software is used in order to produce lightning surges considering its probabilistic nature and randomly distribution on the ground to evaluate striking distance based on the geometric ***,calculated parameters are transferred to EMTP-RV software by establishing a link to perform the transient simulation and report the results for modelled 230 kV transmission ***,considering IEEE-1243 standard,it is shown that due to high ground flash density,using 230 kV tower with one shield wire is not sufficient to protect the line against lightning phenomena.

关键词： flash lightning probabilistic

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Discovering Stop and Parking Behaviors of Last Mile Delivery Vehicles for Urban Areas Based on Not Well Conditioned Gps Traces, Expert Knowledge and Machine Learning

SSRN

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SSRN 2023年

作者： Galende-Hernández, Marta Sainz-Palmero, Gregorio I. Fuente, Maria J. Department of System Engineering and Automatic Control School of Industrial Engineering Universidad de Valladolid Valladolid47011 Spain CARTIF Centro Tecnologico Parque Tecnologico de Boecillo Valladolid Boecillo47151 Spain

Nowadays urban traffic is one of the most serious challenges for local authorities around the world. This challenge implies issues regarding health, energy, safety, environment and quality of life. Achieving a fair traffic outcome is a key priority for city traffic managers while maintaining city’s attractiveness for citizens and travellers and those carrying out commercial activities. As a part of this challenge, delivery and similar companies are relevant stakeholders in optimizing their routes, deliveries, and operational services. It is in this respect that urban traffic and its regulations play a key *** conditions in which urban traffic takes place thus have to be known and one way to deal with this is based on available and accessible data. In the IoT age, there could be huge amounts of available data generated by countless sensors and systems involved in our lives, cities, infrastructures, etc.... Taking advantage of such data, when the accessibility and quality is good enough, can help us to achieve the desired goals concerning the urban traffic and its consequences. However, in practice, the availability and access to such data is currently a very serious *** on with this, data generated from the ever-increasing number of sensors on board vehicles could be very useful, not only for checking the vehiclecondition, but also to gain a better of the "real-time" traffic situation or to discover traffic behaviors/patterns from the said *** this work, a realcase based study has been carried out gathering basic real GPS information regarding delivery vehicles in a city environment and OpenData to "discover" where, when and how long time delivery vehicles use the regulated parking zones for loading/unloading in the city center. Based on Expert Rules, a stop detection criteria is defined and formulated to be applied to real cases in urban areas, focusing on city centers and Machine Learning techniques to discover stop and park behaviors on la

关键词： Parks

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Optimization Design and Dynamic Compensation Strategy of Inverter Parallel Virtual Impedance Based on Residual Generator

Optimization Design and Dynamic Compensation Strategy of Inv...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Changbin Hu Haiyang Huang Shanna Luo Huiru Wang Xuecheng Li Heng Lu North China University of Technology School of Electrical and Control Engineering Beijing China Beijing Kedong Electric Power Control System Co. Ltd Beijing China Department of Automatic Control and Complex Systems University of Duisburg-Essen Germany

To solve the power imbalance problem caused by the difference between the equivalent impedance of the inverter and the line impedance, and the power quality problem caused by the disturbance of load mutation, unbalanced load and nonlinear load, this paper proposes a closed-loop feedback dynamic compensation strategy based on the equivalent virtual impedance of the residual generator. Firstly, based on the parallel topology of inverters, a quasi-steady-state model is established on the dq axis. Based on the model, the power imbalance caused by the difference of output impedance and line impedance of different inverters and the power quality problems caused by load switching, unbalanced load, nonlinear load and other disturbances in parallel inverters are ***, a residual generator is established based on the inverter model. A virtual impedance equivalent controller Q vir (S) based on the residual generator is designed by the Luenberger observer principle. The disturbance information is fed back in real time through the feedback structure, and then the virtual impedance is adjusted to realize the power sharing of the inverter parallel system. Then, based on Euler parameterization and coprime factorization theory, a dynamic compensation architecture based on residual generator is designed. The transfer function of the dynamic compensation controller Q com (S) is obtained by model matching to realize the steady-state operation of parallel inverters and the improvement of system power quality. Finally, the effectiveness of the proposed architecture is verified on the experimental platform.

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Quantized Deep Neural Network Based Optimal control of Greenhouses on a Microcontroller

Quantized Deep Neural Network Based Optimal Control of Green...

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European control Conference (ECC)

作者： Kiran Kumar Sathyanarayanan Philipp Sauerteig Pablo Zometa Stefan Streif Automatic Control and System Dynamics Lab Technische Universität Chemnitz Chemnitz Germany Faculty of Engineering German International University Berlin Germany Department of Bioresources Fraunhofer Institute for Molecular Biology and Applied Ecology Giessen Germany

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

Growing crops in controlled-Environment Agriculture (CEA) farms, such as greenhouses and vertical farms, can help in meeting the demands of urban centers and achieving climate goals. Recently, many advanced control techniques like Model Predictive control (MPC) and its variants have been developed for energy-efficient operation and minimization of resource utilization. However, real-time implementation of these advanced strategies come along with certain computational hardware requirements, thus, increasing the operating costs. In this work, we propose to learn the MPC policy of a greenhouse control by means of a Deep Neural Network (DNN) in order to be implemented on a low-cost microcontroller. Additionally, we use a feedback law to reduce undesired quantization effects. The efficiency of our approach is exemplified by means of a simulation study for greenhouse control.

关键词： Quantization (signal) Microcontrollers Optimal control Greenhouses Artificial neural networks Minimization Real-time systems

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Blockchain-based peer to peer energy trading using distributed model predictive control

Blockchain-based peer to peer energy trading using distribut...

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European control Conference (ECC)

作者： Manuel Sivianes Ascensió n Zafra-Cabeza Carlos Bordons Systems Engineering and Automatic Control Department School of Engineering Universidad de Sevilla Seville Spain System Engineering and Automation Department School of Engineering Universidad de Sevilla Seville Spain Systems Engineering and Automatic Control Department ENGREEN Laboratory of Engineering for Energy and Environmental Sustainability Universidad de Sevilla Seville Spain

ISBN: (数字)9783907144077

ISBN: (纸本)9781665497336

The energy network is experiencing a decentralizing process due to the recent inclusion of distributed energy resources (DERs), such as photovoltaics (PV), electric vehicles (EV), or batteries. This paradigmatic shift involves new challenges that require enhancing the electricity system's flexibility while preserving its integrity and stability. One way of dealing with them is by unbundling the electrical network into smaller, more manageable units, known as microgrids (MG). Nonetheless, the usage of distributed architectures leads to more exchanged data and control information between end agents, involving security or privacy issues. In this context, blockchain technology emerges as a feasible solution that promises transparent, tamper-proof, and safe systems in a decentralized ecosystem. This paper proposes a distributed energy management platform that takes full advantage of the blockchain technology to enable safe peer to peer (P2P) transactions. A Distributed model predictive control (DMPC) scheme is adopted, and its performance is compared with the centralized approach.

关键词： Photovoltaic systems Smart contracts Microgrids Prediction algorithms Stability analysis Blockchains Peer-to-peer computing

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Multi-Centroid Finite Particle Method and its Application in Dynamic Modelling of Industrial Robots

SSRN

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SSRN 2023年

作者： Zhi, Shaodan Liu, Youmin Ren, Huimin Shen, Haikuo School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing100044 China Beijing Institute of Space Launch Technology Beijing100076 China System Software Engineering Research Department Beijing Aerospace Automatic Control Institute Beijing100070 China

The dynamic modelling of industrial robots is of great value for analyzing the mechanism of robot vibration and improving the performance of robots. To meet the high-performance requirements of industrial robots, the impact of vibration of the robotic arm on the robot’s positioning accuracy cannot be ignored. However, traditional modelling methods rarely consider the manipulator vibration in ways that reflect the mechanism of the vibration coupling between the manipulator and joints of industrial robots. This paper examines the multi-centroid finite particle method and its application in the dynamic modelling of industrial robots, the method which uses a simple and unified framework for dynamic analysis of the model. Compared to the finite particle method, the reverse motion of its multiple centroids not only has a simpler derivation process, but also effectively reduces the influence of the element rigid body displacement on the solution of the pure deformation of the node, improving the convergence of the rigid body rotation-flexible deformation coupling model calculations. A cantilever beam model was used to verify the accuracy and convergence of the method. Furthermore, the multi-centroid finite particle method was combined with positive kinematics to model the dynamics of industrial robots, the results of which were compared with experimental data. It was shown that the modelling and the experimental results had a high degree of agreement, the mechanism of the vibration coupling of the robot arm and joint being further analyzed. © 2023, The Authors. All rights reserved.

关键词： Kinematics

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Geoecological Information-Modeling system and Its Applications 23

Geoecological Information-Modeling System and Its Applicatio...

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23rd International Conference on control systems and Computer Science Technologies, CSCS 2021

作者： Nitu, Costica Dumitrascu, Alexandru Krapivin, Vladimir F. Soldatov, Vladimir Yu University Politehnica of Bucharest Department of Automatic Control and System Engineering Bucharest Romania Kotelnikov's Institute of Radioengineering and Electronics Russian Academy of Sciences Fryazino Branch Fryazino Russia

ISBN: (纸本)9781665439398

New information technology is represented to be an effective tool for environmental monitoring data processing when unremovable information uncertainties exist and additional in-situ measurements can not be realized. This technology is based on combined using the GIS tools and mathematical models. Series of real polluted environment monitoring tasks are given as confirmation of the efficiency of developing this technology. © 2021 IEEE.

关键词： Decision making

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