As one of the most important infrastructures, the safe and stable operation of power system directly influences social and economic development. However, the safety and stability of power system are confronted with numerous challenges, in which unconventional extreme events, such as destructive strikes, electromagnetic attacks, cyber attacks, etc, would pose great threat to the survivability of power system. But, this kind of threat has not received enough attention. Furthermore, the community still lacks sufficient research to improve the survivability of power system under unconventional extreme scenarios. To this end, this Special session focuses on the topic of the survivability improvement technologies of power system for unconventional extreme scenarios
Donglian Qi is currently a Qiushi Distinguished Professor at the College of Electrical Engineering, Zhejiang University, Hangzhou, China. From 2008 to 2010, she was a Visiting Scholar with the College of Electrical Engineering, University of Central Florida. Her research interests include cyber-physical security of power system, power system distributed perception, power system multi-agent cluster control, artificial intelligence applications in electrical equipment operation and maintenance. She is also an Editorial Board member for Clean Energy, Journal of Robotics, Networking and Artificial Life, Energy Conversion and Economics (IET), and expert group member of the National Key R&D Project "Renewable Energy and Hydrogen Energy Technology". She has published more than 180 SCI/EI indexed papers, participated in the drafting of an IEEE international standard, and obtained 38 invention patents and 28 software copyrights. In addition, she has chaired a total of 13 national-level projects, including those funded by the National Natural Science Foundation of China and the National Key Research and Development Plan. She has received 8 provincial and ministerial-level science and technology awards, including the first and second prizes of Science and Technology Progress of Zhejiang Province.
Yunfeng Yan is an Associate Research Fellow with Zhejiang University. She received the Ph.D. degree in electrical engineering from Zhejiang University, Hangzhou, China, in 2019. She has authored or co-authored more than 50 journal papers, and 24 issued patents. She is Young Editorial Board Member of Power System Protection and Control. She got the Best Paper Award of IEEE EI2 2023 Her research interests include computer vision and machine learning systems, and distributed estimation and control of networked systems.
Dr. Xianbo Wang is now serving as an Associate Research Fellow with the Hainan Institute of Zhejiang University. Previously, he received his Ph.D. degree in the Department of Electromechanical Engineering, University of Macau in 2018. He conducted postdoctoral research at the State Key Laboratory of Internet of Things for Smart City from 2019 to 2022. He has published more than 50 refereed papers, and authored 15 issued patents. His research topics include marine renewable energy utilization, nonlinear degradation behavior prediction, and prognostic health monitoring of rotating machinery.
Dr. Yulin Chen is an Associate Research Fellow with Hainan Institute of Zhejiang University, Sanya, China. Previously, he received the B.S. in Mathematics and Applied Mathematics and the M.S. degree in Electrical Engineering from Northeast Electric Power University, Jilin, China, in 2014 and 2017, respectively, and Ph.D degree in Electrical Engineering from Zhejiang University, Hangzhou, China, in 2021. He has authored or co-authored more than 35 journal papers, and 5 issued patents. He is now serving as the Representative of CIGRE WG D2.56. Besides, He is the Young Editorial Board Member and Guest Editor of high-level journals, including Power System Protection and Control, Distribution & Utilization, Power Generation Technology, Integrated Intelligent Energy, etc. He got the Best Paper Award of IEEE EI2 2023 and Best Paper Award of SPIES 2022. His research interests include distributed control of renewable energy and cyber-physical security with application in smart grid.