<style type="text/css">.wpb_animate_when_almost_visible{opacity:1}</style>

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.

Co-organizer: 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.

Call for Papers Timeline / 征稿时间

  • Submission of Full Paper: February 1st, 2026
    投稿截止日: 2026年2月1日 

  • Notification Deadline: March 1st, 2026
    通知书发送: 2026年3月1日 

  • Registration Deadline: March 20th, 2026
    注册截止日期: 2026年3月20日