Yang Li received the B.E. degree in electrical engineering from Wuhan University, Wuhan, China, in 2007, and the M.Sc. and Ph.D. degrees in power engineering from Nanyang Technological University (NTU), Singapore, in 2008 and 2015, respectively. He was with the Energy Research Institute, NTU, the School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD, Australia, the School of Automation, Wuhan University of Technology, Wuhan, and the Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden. He is currently a Professor with the School of Electrical Engineering and Automation, Wuhan University. His research interests include modeling, operation, and control of renewable and energy storage systems in modern power grids and the transport sector.
Jinrui Tang received the B.S. degree in electrical engineering from Zhejiang University, Hangzhou, China, in 2009, and the Ph.D. degree in electrical engineering from the School of Electrical and Electronics Engineering, Huazhong University of Science and Technology, Wuhan, China, in 2014. He is currently an Associate Professor with the School of Automation, Wuhan University of Technology, Wuhan. His research interests include power system protection and control.
Jianwei Shao was born in Shandong, China, in 1992. He received the B.Sc. degree in electrical engineering and automation from Harbin Institute of Technology, Harbin, China, in 2014 and received the Ph.D. degree in electrical engineering from Wuhan University, Wuhan, China, in 2023. From 2019 to 2020, he was a Research Assistant with the Department of Electrical Engineering, Hong Kong Polytechnic University, Hong Kong, China. He is currently a Postdoctoral Researcher with the School of Electrical Engineering and Automation, Wuhan University, Wuhan, China. His current research interests include condition sensing of power equipment, fault diagnosis, and energy storage system management.
The large-scale integration of renewable energy resources, power electronic devices, and hybrid AC/DC networks is transforming modern power systems into highly coupled, low-inertia, and multi-timescale dynamic systems. Disturbances can propagate through complex electrical and control interactions across regions and heterogeneous devices, potentially leading to stability degradation, protection malfunctions, power imbalance, and risk escalation. Meanwhile, emerging resources such as grid-forming renewable generation, HVDC systems, energy storage, and controllable loads provide new opportunities for enhancing system resilience while introducing significant challenges to system analysis, risk awareness, and coordinated control.
This special session focuses on key theories and technologies for improving the security, stability, and resilience of new power systems. Topics include fault propagation and risk evolution mechanisms, stability analysis and assessment, dynamic risk early warning and situational awareness, grid-forming converter control and fault ride-through capability, coordinated AC/DC system operation, multi-timescale resource coordination and optimization, protection and security control, and resilience enhancement under extreme events. The session aims to advance innovative theories, methodologies, and technologies for secure, reliable, and resilient power system operation.