Energy Internet Planning and Operation under Extreme Weather Conditions

As global climate change intensifies, the increasing frequency and severity of extreme weather events pose unprecedented challenges to the safety, reliability, and resilience of energy systems. The Energy Internet, a new energy architecture integrating advanced information and communication technologies, power electronics, distributed energy resources, and intelligent control, holds significant potential in responding to extreme weather conditions. However, its planning and operation also face numerous unique and critical challenges. This session aims to explore core technologies and cutting-edge methods for planning, operating, restoring, and enhancing the resilience of the Energy Internet in extreme weather environments, intending to promote the development of climate-adaptive and resilient energy systems. Key topics of interest include, but are not limited to:

1. Vulnerability Assessment and Resilience‑Oriented Planning of the Energy Internet under Extreme Weather

2. Artificial Intelligence-based Resilience Early Warning for Energy Internet

3. Multi‑Timescale Operation Optimization of the Energy Internet under Meteorological Forecasting Uncertainty

4. Islanded Operation and Black‑Start Strategies for Distributed Energy Resources and Microgrids during Extreme Weather Events

5. Coordinated Dispatch and Restoration of Transportation‑Energy Coupled Systems under Disaster Conditions

6. Emergency Support Technologies for Multi‑Energy Complementarity and Energy Storage Systems in Extreme Climates

7. Collaborative Resilience of Communication Networks and Energy Cyber‑Physical Systems during Disasters

Chair:

Xinyue Chang, Taiyuan University of Technology, China

Associate Professor and Doctoral Supervisor at Taiyuan University of Technology, is a recipient of the “Sanjin Young Elite Talent” award. She serves as the Deputy Director of the Key Laboratory of Cleaner Intelligent Control on Coal & Electricity, Ministry of Education. She is a Youth Editorial Board member for several SCI/EI-indexed or core journals, including iEnergy and China Electric Power. Her research primarily focuses on the planning and operation of clean energy systems in polar regions. She has published over 40 academic papers, applied for more than 30 patents, and has undertaken or participated in more than 10 research projects, including the National Natural Science Foundation of China Youth Program, Shanxi Provincial Key Research and Development Projects.

Co-chairs：

Di Zhang, South China University of Technology, China

Dr. Di Zhang received the Ph.D. degree in Electrical Engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2022. From 2018 to 2020, she was a visiting Ph.D. student with the Robert W. Galvin Center for Electricity Innovation, Illinois Institute of Technology, Chicago, IL, USA. She is currently working as a Postdoctoral Researcher at South China University of Technology, Guangzhou, China. Her research interests include electric meteorology, power system operation and control, and the application of artificial intelligence in power systems. She serves as a Young Editorial Board Member of the Smart Energy System Research and as the Editor of the Journal of Shanghai Jiao Tong University (in Chinese).

Lingxiao Yang, Anhui University, China

Distinguished Associate Professor at Anhui University. Her main research interests include machine learning and its applications in integrated energy systems. She has presided over one project funded by the National Natural Science Foundation of China (NSFC) and one project supported by the China Postdoctoral Science Foundation (CPSF). She has published over 30 papers in IEEE Transactions journals and flagship conferences, including 4 ESI highly cited papers. She was selected for the 2018 "F5000 Top Papers" in Chinese high-quality scientific journals and the 4th batch of Excellent Scientific Papers of the China Association for Science and Technology (with only 98 papers selected nationwide). She serves as a guest editor for special issues of the journals Mathematics and Sustainability.

Ning Zhang, Anhui University, China

Distinguished Associate Professor at Anhui University. His research focuses on vehicle-grid interaction, artificial intelligence applications in energy internet, multi-agent-based distributed control, and integrated energy systems. He has led one National Natural Science Foundation project, one provincial key research and development program, two industry-sponsored projects from Sunshine New Energy, and one Ministry of Education industry-academia collaboration initiative. He has participated in multiple National Key R&D Program projects, National Natural Science Foundation projects, and major State Grid Corporation of China scientific research initiatives. Over the past five years, he has published over 20 SCI/EI papers in renowned international and domestic journals. Two papers are ESI highly cited papers.