Keynote Speaker

Prof. Xiaofang Yuan,Hunan University, China

Bio: Xiaofang Yuan, PhD, Professor in Hunan University, doctoral supervisor. He is mainly engaged in electric vehicles, intelligent transportation, automation & control and other aspects of research work. He has presided over more than 10 projects, including National Key R&D Program of China, project of National Natural Science Foundation of China, Science and Technology Plan of Hunan Province, etc. He has more than 50 papers have been published in IEEE Transactions and other international authoritative journals in the field of electric vehicles, intelligent transportation, including 40 SCI papers.

Title: Collaborative Operation Optimization of Processing Equipment and AGVs for Green Discrete Manufacturing

Abstract: With the energy crisis and environmental problems becoming serious, green manufacturing has attracted growing attention from academic and industrial communities. The discrete manufacturing process often involves a variety of production resources including processing equipment, transportation equipment, etc., and is characterized by strong coupling, nonlinearity, and multi-objectives. Collaborative optimization of production resources is one of the most critical means to globally improve production indicators. Based on the analysis of the needs and opportunities of collaborative optimization in the context of green discrete manufacturing, this report takes the research on the optimization of the collaborative operation of processing equipment and AGV as an example to introduce the relevant optimization model construction and solution methods.

Prof. Mouquan Shen,Nanjing Tech University, China

Bio: Professor, the "Six Talent Peaks" of Jiangsu Province. Postdoctoral at Southeast University, visiting scholar at overseas universities such as the University of Hong Kong, Yeungnam University, South Korea, and the University of Adelaide, Australia. He is the PI of more than 10 provincial-level projects, including the National Natural Science Foundation of China, the National Bureau of Foreign Experts Affairs, and the Jiangsu Provincial Natural Science Foundation. In recent years, more than 100 papers with an H-index of 24 have been published in journals such as IEEE Transactions on · Automatic Control, IEEE Transactions on Cybernetics, and IEEE Transactions on Systems, Man, and Cybernetics: Systems. He has been appointed Editor-in-Cheif, Associate Editor, or Editorial Board Member of 12 international journals. He is also an active reviewer of over 80 domestic and international journals, including IEEE, TAC, and Automatica, as well as the corresponding reviewer for the National Natural Science Foundation of China and multiple provincial and municipal science and technology projects.

Title: New communication mechanisms for Networked Systems

Abstract: In the past decades, the industrial production mode has shifted from automation to intelligent transformation, and networked control is more critical than ever before. Due to network resources and working conditions, networked control systems often face challenges such as data packet loss, latency, signal quantization, actuator saturation, and limited transmission capacity. Therefore, a well-designed event triggering mechanism has become an effective means to improve resource utilization and system performance. This report focuses on the research of new communication mechanisms for networked control systems. Firstly, the research background and some existing achievements of event triggered control are summarized. Then, the latest research achievements of the team are introduced, including the threshold dependent event triggering scheme and the guaranteed performance triggering scheme based on instantaneous and average triggering errors. Finally, some future research topics are discussed.

Senior Engineer Shiling Zhang,State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute, China

Bio: Zhang Shiling, senior engineer, doctor of engineering. He has been engaged in scientific research and production of high voltage and insulation technology and physical and chemical detection technology for a long time. The development of UHV dry-type converter transformer bushing and SF6 gas insulated through wall bushing has been applied to the construction of UHV AC and DC projects in China. Presided over and completed the GIS fault detection sensing technology and system, won the excellent innovation achievement award of the international innovation and entrepreneurship Expo, and was awarded the title of excellent scientific and technological worker by Chongqing Institute of electrical engineering.

As the first author, he has published more than 110 SCI/EI search papers in domestic and foreign journals and international academic conferences, 19 Chinese Core Journals of Peking University, won 9 provincial and ministerial awards such as the first prize of Chongqing scientific and technological progress and the special first prize of China Water Conservancy and power quality management Association, authorized 1 international invention patent, 20 national invention patents and utility models, 18 software copyrights, and more than 20 reports of international and domestic conferences, As the project leader, he presided over 3 provincial and ministerial projects at the basic frontier and 3 science and technology projects at the headquarters of State Grid Corporation of China.

Title: Theoretical Analysis and Application Practice of Digital Twin Technology in Ultra High Voltage Converter Station Power Equipment

Abstract: Considering the complex structure of converter transformer and its outgoing line device and converter bushing area are important typical accessories, this paper focuses on the construction of digital twin 3D model in this area, and carries out on-site operation and maintenance simulation test and high current Functional response analysis under high voltage load. The digital twin model of the outlet device area is constructed according to the electro-thermal coupling physical field simulation model. The electro-thermal sensor is used to monitor the on-line voltage and current waveform in real time, and the interaction between the on-site operating parameters and the loading data of the digital twin model is realized. On the other hand, the intelligent extraction and identification of material area in the digital twin model is realized, and the material parameter performance can be changed according to the physical field environment, so as to adapt to the structural design and performance evaluation of different operating environments. Further, in order to analyze the relationship between the internal transient temperature of the converter bushing and its short-term current carrying capacity and long-term aging performance, the cyclic transient variation law of the hottest spot temperature of the high-voltage bushing is determined by fitting the diurnal cyclic load through the step load curve and combined with the thermal network. The electrical and thermal stresses are obtained by using the regional digital twin model of the outgoing device of the converter transformer. The long-term aging performance of the converter bushing is analyzed according to the classical ZHURKOV and CRINE electro-thermal combined aging model. This paper focuses on the 3D construction of digital twin model in the outgoing area of converter transformer. Its research method can be extended to key components such as converter body winding structure, oil paper insulation area and on load switch. The research results of this paper can provide.