Prof. Fan Yang
Fan Yang is a Professor and Ph.D. Supervisor, currently serving as the Dean of the Graduate School at Chongqing University. He is a recipient of the National Young Talent Program and holds multiple prestigious academic positions, including Vice Chair of the Electrical Theory and New Technology Committee under both the China Electrotechnical Society and the Chinese Society for Electrical Engineering. He also serves as the Secretary of the Electrical Engineering Teaching Advisory Committee of the Ministry of Education, a member of the IEEE PES China Council Education Committee, a member of the CIGRE-C3 China National Committee (Power System Environmental Performance), and Vice Chair of the Electrical Engineering Discipline Teaching Committee of the China Electric Power Education Association. Additionally, he has been recognized as a Young and Middle-aged Key Educator in Chongqing.
His research focuses on electromagnetic imaging, multiphysics field computation for power equipment, and digital twin technology. He has received multiple national and provincial awards for his contributions to education and research, including one First Prize and one Second Prize in National Teaching Achievement Awards, as well as one First Prize and one Second Prize in Chongqing Teaching Achievement Awards. Moreover, he has been honored with a First Prize and a Second Prize in Provincial and Ministerial Science and Technology Awards.
Presentation: Development and key technologies of digital twin platform for power transformers
Digital Twin technology is one of the key enablers to achieve the digitalization and intelligent development of power transformers, and its realization becomes an urgent need to be addressed. However, the implementation of digital twin of power transformer faces multiple restrictions. The complexity of transformer geometry, limited methods for internal state assessment, and the demand on real-time simulation, all poses significant obstacles to the practical applications of transformer digital twin.
This presentation will provide a through and detailed discussion on the key technologies and platform development method for transformer digital twin. The fundamental components and encapsulation strategies of transformer digital twin will be outlined, with a particular focus on the challenges and research progress in 3D visualization, multiphysics calculation and rapid model order reduction techniques. Finally, we will present the latest achievements in transformer digital twin flatform construction of our research team.