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Track II: Resilience Enhancement Technology for New Power Systems Under Extreme Events

“极端事件下新型电力系统的韧性提升技术”

Track II

Resilience Enhancement Technology for New Power Systems Under Extreme Events
“极端事件下新型电力系统的韧性提升技术”

With global warming trend continuing, the world is facing increasing the risk of extreme disaster events. Especially in the context of new power system, the increase in the share of renewable energy generation augments the vulnerability of the system. Moreover, new power systems transforms into highly interconnected cyber-physical systems that are greatly dependent on communication networks. The increase in informatization not only enhances the system's capabilities for real-time perception and dynamic control but also intensifies the risk of exposure to malicious cyberattacks. The safe and stable operation of the new power system is significantly threatened under extreme events. Therefore, it is essential to investigate technologies for enhancing the resilience of the new power system, as they are crucial for ensuring the continuous supply of electricity during extreme conditions.

Topics (Including but not limited to)  

  • Technologies for Power System Resilience Enhancement in Planning, Operation, and Control
    面向韧性提升的电力系统规划、运行、控制技术
  • Resilience Support Technologies for Power Systems Based on Multi-Type Flexible Resources: Generation, Grid, Load, and Storage
    源-网-荷-储多元灵活资源对电力系统的韧性支撑技术
  • Research on Coupling Mechanisms and Resilience Enhancement Methods Between Power Systems and Transportation, Information, and Natural Gas Networks Under Extreme Disasters 交通网、信息网、天然气网等在极端灾害下与电力系统的耦合机理与韧性提升方法研究
  • Forecasting Technologies for Distributed Generation Output and Load/Energy Consumption Under Extreme Meteorological Disasters
    极端气象灾害下分布式电源出力及负荷用能预测技术
  • Research on Evaluation Systems and Models for Quantifying Power System Resilience Levels
    量化电力系统韧性水平的评价体系和模型研究
  • Modeling and Resilience Research of Cyber-Physical-Social Integrated Power Systems
    信息-物理-社会融合电力系统的建模和韧性研究
  • Situation Awareness Technologies for Enhancing Power System Resilience
    面向电力系统韧性提升的态势感知技术
  • Applications of Big Data and Artificial Intelligence in Power System Resilience Enhancement
    大数据和人工智能在电力系统韧性提升中的应用
  • Simulation and Analysis Technologies for Assessing the Impact of Extreme Events on Power Systems
    极端事件对电力系统影响的仿真与分析技术
  • Development and Practical Application of New Power System Platforms for Improving Extreme Event Response Capability
    面向极端事件应对能力提升的新型电力系统平台研发及实践应用

Organizer: Dr. Yucui Wang, North China Electric Power University, China

Wang Yucui, Ph.D., is a lecturer in the Department of Electrical Engineering, North China Electric Power University (Baoding). She presides over one Youth Project of the Hebei Provincial Natural Science Foundation, one Youth Project of the Higher Education Scientific Research Program of Hebei Province, and one General Project of the Central Universities. As a core researcher, she has participated in one Key Project of the National Natural Science Foundation of China and three Science and Technology Projects sponsored by the Headquarters of State Grid Corporation of China. Her main research interests focus on the resilience/reliability optimization of integrated energy systems and virtual power plants. In the past three years, she has published more than 10 SCI-indexed papers as the first author or corresponding author, and obtained 2 authorized patents.

Co-organizer: Prof. Sheng Cai, Nanjing University of Science and Technology, China

Cai Sheng, male, is a professor at the School of Automation, Nanjing University of Science and Technology. He graduated from the major of Control Science and Engineering at Nanjing University of Science and Technology in 2022 and was honored as an Excellent Graduate of Jiangsu Province. Currently, he presides over a number of projects, including the National Natural Science Foundation of China, a sub-project of the National Major Science and Technology Special Project on Smart Grid, and the Jiangsu Provincial Natural Science Foundation. He has published more than 30 academic papers indexed by SCI/EI, filed over 30 national invention patent applications, and obtained authorization for more than 20 of them. As the first or corresponding author, he has published more than 20 high-level academic papers in prestigious journals such as IEEE Transactions on Smart Grid and Proceedings of the CSEE.


Invited Speaker: Dr. Chenhui Song, Changsha University of Science and Technology, China

Chenhui Song received the Ph.D. degree in Electrical Engineering from Tianjin University, Tianjin, China, in 2022. Afterwards, he worked as a researcher at State Grid Energy Research Institute. He is currently a lecturer and a supervisor with the National Key Laboratory of Power Grid Disaster Prevention and Reduction, Changsha University of Science and Technology.
In the past five years, he has presided over the projects of National Natural Science Foundation of China and State Grid Corporation Development Department, Participated in the projects of National Natural Science Foundation of China and National Key Research and Development Program of China. He has published more than 30 SCI/EI journal papers and Received National Business Association Science and Technology Progress Award. He is the special issue editor of the Energies journal and the young editorial board member of the Electric Power Construction journal. His current research interests include security analysis, planning and operation of Multi-Energy Systems.

Invited Speaker: Dr. Gengming Liu, North China Electric Power University, China

Gengming Liu, Lecturer, received his Ph.D. degree from North China Electric Power University in 2025. His research primarily focuses on the resilience of critical power infrastructure systems and power and energy security. He has participated in one major national defense project, three projects under the national defense innovation zone, and one project funded by the national natural science foundation of China. He has published over ten academic papers in journals such as IEEE Transactions and CSEE JPES, and holds five authorized invention patents. He also serves as a reviewer for academic journals including the IEEE Transactions on Energy Markets, Policy, and Regulation and the IEEE Open Access Journal of Power and Energy.

Invited Speaker: Dr. Changming Chen, Fuzhou University, China

Changming Chen (Member, IEEE) received the B.E. degree in electrical engineering from the College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China, in 2019, and the Ph.D. degree in electrical engineering from the College of Electrical Engineering, Zhejiang University, Hangzhou, China, in 2024. He is currently a Lecturer (Associate Research Fellow) in the College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China. His research interests include multi-energy data center optimization, power systems restoration, and shared energy storage business models.

Invited Speaker: Dr. Xianglong Lian, Fuzhou University, China

Dr. Xianglong Lian is currently a Lecturer and Master’s Supervisor at Fuzhou University, China. He received the Ph.D. degree from South China University of Technology. His research interests include power–transportation coupled networks, artificial intelligence algorithms, and their applications to enhancing power grid resilience. He has published and/or has accepted more than 10 papers in SCI- and EI-indexed journals, and serves as a reviewer for multiple domestic and international journals. He is the Principal Investigator of one National Natural Science Foundation of China (NSFC) Young Scientists Fund project, and has participated in several State Grid Corporation of China science and technology projects.

Invited Speaker: Dr. Chao Yang, North China Electric Power University, China

Chao Yang is a lecturer at the School of Electrical and Electronic Engineering, North China Electric Power University, China. He earned his Ph.D. degree in Engineering from the North China Electric Power University and subsequently joined the Chinese University of Hong Kong (Shenzhen) as a postdoctoral researcher. His research interests focus on the electricity market, low carbon electricity and AI/LLM for power systems.

 

Invited Speaker: Assoc. Prof. Yongji Cao, Shandong University, China

Yongji Cao received the B.E. and Ph.D. degrees in electrical engineering from Shandong University, Jinan, China, in 2016 and 2020, respectively. He was a Research Assistant with the School of Electrical Engineering, Shandong University, Jinan, China, from January 2021 to September 2021. He was a Postdoctoral Researcher with the Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark, from October 2021 to March 2023. He is currently an associate professor with the Academy of Intelligent Innovation, Shandong University, Jinan, China. His research interests include power system stability analysis and control, application of artificial intelligence in power systems, renewable energy integration, and energy storage technology.

Call for Papers Timeline / 征稿时间

  • Submission of Full Paper: March 15th, 2026
    投稿截止日: 2026年3月15日 

  • Notification Deadline: March 25th, 2026
    通知书发送: 2026年3月25日 

  • Registration Deadline: April 1st, 2026
    注册截止日期: 2026年4月1日