

Beschreibung
As a prominent academic conference in the field of electrical engineering in China, this book showcases the latest research trends, methodologies, and experimental findings across a wide spectrum of cutting-edge topics. These include electrical technology, po...
As a prominent academic conference in the field of electrical engineering in China, this book showcases the latest research trends, methodologies, and experimental findings across a wide spectrum of cutting-edge topics. These include electrical technology, power systems, electromagnetic emission techniques, and electrical equipment, reflecting the field's close alignment with ongoing advancements in multiple technological domains.
The objective of the proceedings is to provide a comprehensive interdisciplinary platform for researchers, engineers, academics, and industry professionals to present innovative research and development outcomes in electrical engineering. This forum encourages the exchange of ideas that integrate knowledge from diverse disciplines, fostering deeper insights into complex engineering challenges.
These volumes serve as a valuable reference for researchers and graduate students, offering a rich resource for exploring state-of-the-art theories and practical solutions in electrical engineering.
Consists of papers presented at ACCES 2025 Highlights the recent advances made in the area of electrical engineering Serves as a reference for researchers and practitioners in academia and industry
Autorentext
Prof. Yang Qingxin is the president of China Electrotechnical Society, professor of National Candidate of the New Century Hundred-Thousand-Ten Thousand Talents Project, provincial-level young/middle-aged expert with outstanding contributions, provincial-level managed outstanding expert, and recipient of the State Council Special Government Allowance. He has previously served as the president of Tianjin Polytechnic University (2014 2018); the president of Tianjin University of Technology (2006 2014).
Key Academic Contributions: He developed parameter coupling algorithms for electromagnetic dynamic characteristics; established finite element methods for 3D permanent magnetic fields with arbitrary magnetization directions; innovated separation techniques for engineering eddy current and hysteresis losses; pioneered finite element computation of giant magnetostrictive effects; created mesh-free methods for electromagnetic field numerical computation; and designed annular permanent magnets for large-diameter Czochralski single crystal furnaces.
Dianguo Xu (Fellow, IEEE) received the B.S. degree in control engineering from Harbin Engineering University, Harbin, China, in 1982, and the M.S. and Ph.D. degrees in electrical engineering from Harbin Institute of Technology (HIT), Harbin, China, in 1984 and 1989, respectively. In 1984, he was with the Department of Electrical Engineering, HIT as an assistant professor. Since 1994, he has been a professor with the Department of Electrical Engineering, HIT. He was the dean of School of Electrical Engineering and Automation, HIT, from 2000 to 2010. He was the vice president of HIT from 2014 to 2020. He authored and coauthored more than 600 technical papers. His research interests include renewable energy generation technology, power quality mitigation, sensorless vector controlled motor drives, and high performance servo system. Dr. Xu is a chair of IEEE Harbin Section, Co-EIC of IEEE Transactions on Power Electronics, associate editor for IEEE Transactions on Industrial Electronics and IEEE Journal of Emerging and Selected Topics in Power Electron.
Xuerong Ye (Senior Member, IEEE) received the B.S., M.S., and Ph.D. degrees in electrical engineering from Harbin Institute of Technology, Harbin, China, in 2003, 2005, and 2009, respectively. He is currently the dean of the School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China. His main research interests include failure analysis of electric apparatus and electronics, reliability assessment, and robust design of quality consistency. Dr. Ye is a fellow of IET and an associate editor for IEEE Access and Journal of Power Electronics.
Qiuyue Nie was born in Liaoning, China, in 1982. She received the Ph.D. degree in plasma physics from the Dalian University of Technology, Dalian, China, in 2010. She is currently a professor with the School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China. Her research interests include the plasma generation technologies and their applications.
Yueshi Guan (Senior Member, IEEE) was born in Heilongjiang, China, in 1990. He received the B.S., M.S., and Ph.D. degrees in electrical engineering from the Harbin Institute of Technology, Harbin, China, in 2013, 2015, and 2019, respectively. From 2021 to 2024, he was an associate professor. Since 2024, he has been a professor with the Department of Electrical and Electronics Engineering, HIT. His research interests include the areas of high-frequency and very-high-frequency converters, single-stage ac/dc converter, and high conversion ratio converters.
Inhalt
Matlab Simulation of Three-phase Voltage Source PWM Rectifier.- Optimized Power Allocation Strategy of Multi-types Battery Energy Storage System for Frequency Regulation.- Detection of Trace Acetylene in Transformer Oil Based on Air-core Anti-resonant Optical Fiber.- Dynamic Stability Analysis of Pillar Insulators for Large-Capacity Generator Outlet Circuit Breakers.- Investigation of Influencing Factors and Control Strategies for Voltage Stability of New Energy DC Transmission Links Under AC/DC Faults.- Reinforcement Learning-Based Control Strategy for Low-Frequency Oscillation Suppression in VSG.- Analysis and Improvement of Failure Reason for Excitation Surge Criterion of Main Transformer.- Superconducting synchronous condensers for reactive power compensation and voltage support at the LCC-HVDC sending end.- Comparative Performance Analysis of Different Interior Rotor Structures for 1MW High-Speed Flywheel Energy Storage Motors.- Lightweight Convolutional Neural Network Model Based on Depthwise Separable Convolution and Feature Fusion Modules.- Harmonic source modeling method based on Bernstein-KAN.
