Special Session II

Artificial Intelligence Applications for Power System Stability Analysis and Control

Artificial Intelligence (AI) has been extremely successful in lots of areas. In power systems, AI has been applied in load/renewable forecasting, intrusion detection, customer behavior analysis, etc. This special session will focus on how AI can be leveraged for power system stability analysis and control, which is especially challenging due to the increasing penetration of converter-interfaced generations (CIG) in modern power systems. AI with real-world data and cutting-edge techniques will be discussed. The aim of this special session is to offer an opportunity for researchers and practitioners to identify new promising research directions on power system stability analysis and control, and to provide a forum to disseminate and discuss AI. We hope to help the audience have deeper insights about the roles of AI in better understanding power system dynamics and stability.

The topics of interest include, but are not limited to:
• Human-Machine interaction for AI in power system stability analysis and control
• Interpretable AI in power system stability analysis and control
• Casual inference in power system stability analysis and control
Observability and controllability assessment of AI based power system stability analysis and control
Benchmark dataset creation requirements for power system stability analysis
AI in measurements based online stability assessment and emergency control
AI in multiple time-scale system dynamics
AI in nonlinear and complex system dynamics


Le Zheng, North China Electric Power University, China


Le Zheng was born in China in 1989. He received the B.Sc. degree and the Ph.D. degree in electrical engineering from Tsinghua University, Xining, Qinghai, China, in 2011 and 2017, respectively. He worked as a Postdoctoral Research Fellow in Stanford University from 2017 to 2019. Now he is working as a lecture in the School of Electrical & Electronic Engineering, North China Electric Power University. His research interests include the stability and control of power electronics dominated power system, artificial intelligence application in power system. He has participated in 863 national high technology research and development programs, the national key R&D programs etc. He has published more than 30 academic papers.


Xinran Zhang, Beihang University, China


Xinran Zhang received the B.S. degree and Ph.D. degrees in electrical engineering and automation from Tsinghua University, Beijing, China, in 2011 and 2016, respectively, both with honors. From 2016 to 2020, he was a Postdoctoral Fellow with the Department of Electrical and Electronic Engineering, The University of Hong Kong. Since 2021, he is an Assistant Professor with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. He is selected for a national overseas high-level talent plan youth project and has hosted the Youth Project of NSFC. He is a review editor of Frontiers in Energy Research. His research interests include power system stability and control, wide-area damping control system, load modeling, and the application of artificial intelligence in power systems.


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