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Analysis of voltage loop bandwidth and control delay effects on the stability of VSG grid-connected system

Analysis of voltage loop bandwidth and control delay effects...

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China international Electrical and Energy conference (CIEEC)

作者： Haizhen Xu Binglei Lu Xinlin Yin Changzhou Yu Chun Liu Qinglong Wang School of Advanced Manufacturing Engineering Hefei University Hefei China

Virtual synchronous generator (VSG) technology can support grid voltage and frequency, and can keep stable in weak grid conditions, which has a very wide application prospect, and it is crucial to ensure its stability during grid-connected operation. When VSG is connected to the grid, the bandwidth of the internal voltage loop is usually constrained by the system switching frequency and current loop bandwidth, and VSG is implemented by digital control technology, which has common control delay problems, both of which affect the stability and dynamic characteristics of the system. therefore, this paper analyzes the effect of delay time and voltage loop bandwidth on the stable operation of VSG by establishing a state space model of VSG grid-connected system with control delay. Firstly, a complete state space model of VSG grid-connected system is established in this paper. then, with the help of characteristic root trajectories and participation factors analysis, the effects of delay time and voltage loop bandwidth on system are evaluated. the analysis results show that low voltage loop bandwidth and large delay time can reduce the stability and dynamic characteristics of the system, and excessive voltage loop bandwidth can increase oscillation frequency in the system. Finally, simulation results shows the correctness of the theoretical analysis.

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Evaluation and Comparison of three Fuel Optimal Impulsive control Strategies for Satellite Formation Reconfiguration

Evaluation and Comparison of Three Fuel Optimal Impulsive Co...

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Industrial Cyber-Physical Systems (ICPS)

作者： Lu Bai Chengxi Zhang Jihe Wang School of Aeronautics and Astronautics Sun Yat-Sen University Shenzhen China School of Internet of Things Engineering Jiangnan University Wuxi China

the evaluation and comparison of three formation impulsive control schemes for satellite formation reconfiguration are researched by numerical simulations with the same conditions. these formation reconfiguration control strategies are Standard formation reconfiguration scheme using asynchronous method (SFRA), extended formation reconfiguration scheme using asynchronous method (EFRA), and Standard formation reconfiguration with synchronous way (SFRS). the total fuel consumptions and reconfiguration times of three reconfiguration algorithms are compared by numerical simulations. through the evaluation and comparison of the three methods, the results show that both the SFRA and EFRA strategies have analytical solutions, as a result their calculation amount is relatively small, and they are simple and efficient for on board application. However, SFRS adopts numerical optimization method, which requires a large amount of calculation. By comparing the reconstruction times of the three methods, the conclusion is as follows: SFRA and EFRA have the same reconfiguration time, while the reconfiguration time of SFRS is the shortest. the comparison of fuel consumption shows that the fuel consumption of EFRA is the least; SFRA has the less fuel consumption, and SFRS has the most fuel consumption.

关键词： Satellites Optimization methods Cyber-physical systems Numerical simulation Orbits Fuels Standards

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A Review of Research Intrusion Monitoring Technology for Railway Carrier Equipment 6th

A Review of Research Intrusion Monitoring Technology for Rai...

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6th international conference on Electrical engineering and Information Technologies for Rail Transportation, EITRT 2023

作者： Cai, Jiali Liu, Xianhui Huang, Rui Huang, Xiangdong Xie, Zhengyu School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China State Key Laboratory of Advanced Rail Autonomous Operation State Beijing Jiaotong University Beijing100044 China Key Lab of Proactive Safety and Risk Control in Railway Operation Beijing100044 China Beijing Research Center of Urban Traffic Information Sensing and Service Technologies Beijing100044 China

ISBN: (纸本)9789819993185

With China’s rail transit operating speed and transport loads continue to improve and the continuous expansion of the railway network scale, railway safety in the human defence, physical defence, technical defence "three in one" security system of the initial establishment of the railway perimeter security put forward higher requirements. Object detection and other detection technologies have received more and more attention, and the accuracy. the accuracy, reliability and robustness of the detection of technical defence means are the pain points and problems that need to be solved in the application of railway security engineering. the article firstly outlines the development history and technical process of railway perimeter intrusion object detection technology. then it describes the research progress of image-based object detection, focusing on the RT-DETR real-time object detection algorithm based on Transformer. After that, the article compares the RT-DETR real-time target detection algorithm with YOLO series and traditional DETR in terms of improving accuracy and speed, and introduces image datasets and performance evaluation metrics. Finally, it analyses the main problems faced by railway perimeter intrusion object detection technology and points out to the future development direction of railway perimeter object detection technology. © 2024, Beijing Paike Culture Commu. Co., Ltd.

关键词： Object detection

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Basic Modulation Strategy and Sub-module Voltage Balancing control for Half-Wave Inverter AC-AC Converter

Basic Modulation Strategy and Sub-module Voltage Balancing C...

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China international Electrical and Energy conference (CIEEC)

作者： Jiangyuan Li Mingyao Ma Qiang Chen Hanyu Wang Guoliang Zhao Yunfei Xu School of Electrical Engineering and Automation Hefei University of Technology Hefei China State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co. Ltd Beijing China

Flexible low-frequency transmission technology has competitive advantages in offshore wind power transmission, and the converter is the key equipment of flexible low-frequency transmission technology. According to the requirements of high-voltage and large-capacity scenarios, the topology and working principle of a half-wave variable-frequency AC converter applied to flexible low-frequency transmission are introduced. the topology can realize four-quadrant operation, and the number of sub-modules at the same voltage level is less than that of a modular multi-level matrix converter (M3C). On this basis, the modulation strategy and the sub-module capacitor voltage control are studied, and a sub-module capacitor voltage balance throwing strategy based on the nearest level approximation is proposed. this method can quickly realize the output voltage modulation, effectively control the capacitor voltage unbalance, and reduce the switching loss. Finally, MATLAB/Simulink simulation is used to verify the effectiveness of the proposed throwing strategy in the half-wave low-frequency AC converter.

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Implementation and Performance Evaluation of Load Balanced Routing in SDN based Fat Tree Data Center

Implementation and Performance Evaluation of Load Balanced R...

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international conference on Information Systems and Computer Networks (ISCON)

作者： Raj P. Dhanya V. S. Anitha Department of Computer Science and Engineering Government Engineering College Wayanad APJ Abdul Kalam Technological University Kerala India

As the number of data intensive and distributed applications increase, data centers are highly utilized for their storage, processing and accessing. these applications cause throughput sensitive incast traffic in the data center. Traditional shortest path routing algorithms cause traffic hotspots in the shortest path links and lead to congestion. therefore, load balanced routing strategies need to be employed to spread the traffic across multiple paths. this work employs the idea of multi path routing to achieve load balancing in SDN based Fat tree Data center. It implements Equal Cost Multi Path routing algorithm on Fat tree Data Center Network in Ryu SDN controller and evaluates its load balancing performance against traditional Shortest Path Routing algorithm under different data center benchmark traffic scenarios. We have conducted an exhaustive study about the load balancing effect of ECMP on Ryu based SDN Fat tree data center and found that ECMP increases Average network throughput by 68% and Average Link utilization by 60%. Also packet drop is decreased by 44% with ECMP.

关键词： Performance evaluation Data centers Network topology Benchmark testing Traffic control Routing throughput

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Identification of SSH Honeypots Using Machine Learning Techniques Based on Multi-Fingerprinting

Identification of SSH Honeypots Using Machine Learning Techn...

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IEEE Information Technology, Networking, Electronic and Automation control conference

作者： Yong-Jian Zhang Wen-Jie Liu Ke-Nan Guo Yan-Mei Kang School of Cyber Science and Engineering University of International Relations Beijing China

Honeypots-a new active defense technique-can accomplish the goal of identifying security vulnerabilities and extracting attack features by constructing controlled vulnerability traps and deceiving attackers into launching intrusion assaults. Attackers typically use honeypot identification techniques to go around honeypots in order to conceal their attack strategies. In this paper, we proposes a new method for detecting and classifying SSH honeypots based on multi-fingerprinting. Target samples are first classified into suspected honeypots and normal hosts using the Random Forest algorithm, and then suspected honeypots are classified using multi-fingerprint features. this five-element detection model can increase the accuracy of honeypot classification while also cutting down on wasted time. Finally, through experimental measurements and comparative analysis with the other method for identifying honeypot, the method in this paper significantly improves the accuracy of identifying SSH honeypot types. It is also more efficient in classifying and detecting large-scale target IPs for honeypots, and there are a lot of real SSH honeypot IPs that can be found by searching the Internet, which can then be further analyzed to obtain their geographical distribution and survival rate characteristics.

关键词： Protocols Automation Forestry Fingerprint recognition Feature extraction Internet Classification algorithms

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Industrial Cyber-Physical Systems (ICPS)

作者： Xiangxiang Zhang Wenkai Hu Ahmad W. Al-Dabbagh Weihua Cao 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 The University of British Columbia Kelowna Canada

In industrial facilities, alarm systems are essential for process monitoring. However, due to the simplicity of alarm configuration and the poor performance of the alarm system, alarm floods often happen. Similarity analysis of alarm floods compares alarm flood sequences to look for common patterns. these patterns can offer information that is helpful in identifying root causes of alarm floods. Existing methods for alarm flood similarity analysis can only conduct similarity measures based on match operations for alarms represented by text strings; as a result, the match operations ignore the correlations between alarm occurrences. In this work, a new alarm flood similarity analysis method based on word embedding and Move-Split-Merge (MSM) distance is proposed, in order to reveal sequence similarity from a new perspective. the contributions are mainly twofold: 1) the correlations of alarm occurrences are considered in the alarm encoding via word embedding; 2) the MSM distance is calculated to analyze the similarity of alarm flood sequences of different lengths. then, clustering results are compared with the original true labels of the alarm floods. the effectiveness of the proposed method is demonstrated by a case study with alarm data generated by a public industrial model of the Vinyl Acetate Monomer process.

关键词： Process monitoring Correlation Clustering algorithms Alarm systems Cyber-physical systems Industrial facilities Data models

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Design and Development of Big Data System for Blast Furnace Ironmaking

Design and Development of Big Data System for Blast Furnace ...

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Industrial Cyber-Physical Systems (ICPS)

作者： Qifu Chen Jinhua She Min W Zhuofu Zhang Zhenhong Liao School of Future Technology 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 Hunan Valin Lianyuan Iron and Steel Co. Ltd. Loudi China School of Engineering Tokyo University of Technology Tokyo Japan School of Automation. China University of Geosciences Wuhan China

the process of blast furnace ironmaking is com-posed of several sub-processes. the process of blast furnace smelting is complicated and the data of each sub-process are scattered and not concentrated. the traditional working mode of subjective judgment based on manual experience is not conducive to the stable production of the blast furnace. therefore, this paper develops a big data system for the production process of blast furnace, which is of great significance to realize the digital production and intelligent production of blast furnace. According to the system architecture of blast furnace ironmaking, this paper mainly designs and develops the data acquisition layer, data storage layer, data analysis layer and data application layer of the big data system.

关键词： Software design Data acquisition Smelting Memory Systems architecture Production User interfaces

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A StyleGAN3-Based Data Augmentation Method for Ceramic Defect Detection

A StyleGAN3-Based Data Augmentation Method for Ceramic Defec...

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Industrial Cyber-Physical Systems (ICPS)

作者： Huimin Ou Jianqi An Xing-ao Wang Jianru Xiong Xin Chen Qingyi Wang 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

Deep learning is currently the mainstream method for ceramic defect detection, and it requires a large number of defect samples to train the network. However, collecting these defect samples is very time-consuming and deep learning suffers from few-shot learning problems. In this study, a StyleGAN3-based data augmentation method for ceramic defect detection was proposed which can generate ceramic defect samples and thus reduce the data collection work. Experiments show that our method uses less training time, has a more stable training process, and can improve the accuracy of the detection network.

关键词： Training Deep learning Image synthesis Data collection Cyber-physical systems Data models Ceramics

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Modeling and control of Fuel Cell/Supercapacitor Fed Open-End-Winding Induction Motor in Electric Vehicles

Modeling and Control of Fuel Cell/Supercapacitor Fed Open-En...

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international conference on Renewable Energies for Developing Countries (REDEC)

作者： Khaled Safsouf Jean Sawma Hadi Y. Kanaan Faculty of Engineering - ESIB Saint-Joseph University of Beirut Beirut Lebanon Dept. Electrical Engineering Ecole de Technologie Supérieure Montreal Quebec Canada

this paper describes the model of hybrid clean energy feeding an open-end winding induction motor. Mainly, the objective of this paper is to regulate the distribution of power between different power sources using inner/outer loop algorithms. the inner loop governs the motor current and power allocation among the sources, whereas the outer loop is responsible for regulating the voltage of the storage element and ensuring that the primary source is operating at its optimal capacity. the hybrid system utilizes a fuel cell as the primary energy source and a supercapacitor as the secondary energy source. the primary energy source is responsible for providing the required energy to the electric vehicle as well as to the storage source in a specific case, while the secondary energy source is utilized to supplement power during acceleration and to capture and store excess energy during the braking process. As well as the fast-acting and dynamic nature of the supercapacitor can aid the fuel cell in its initiation process. the presence of a supercapacitor in fuel cell-powered vehicles is highly promising as it has the potential to substantially decrease hydrogen consumption and enhance vehicle efficiency. the hybrid DC sources are linked to the terminals of the stator of the induction motor (IM) through a dual inverter. the OEWIM configuration is defined by the removal of several passive elements, resulting in a system structure that is not bulky or complex, with improved reliability, efficiency, redundancy, and power quality compared to the traditional structure. A field-oriented torque method (FOC) is used in the induction motor control.

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