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Session 17: Key Technologies for Modeling, Evaluation and Enhancement of Flexibility and Resilience of New Power Systems

“新型电力系统灵活性及韧性建模、评估与提升关键技术”

Session 17

Key Technologies for Modeling, Evaluation and Enhancement of Flexibility and Resilience of New Power Systems
“新型电力系统灵活性及韧性建模、评估与提升关键技术”

In recent years, global climate change has led to the frequent occurrence of extreme events, increasing the uncertainty of the operation of the power system and posing challenges to the reliable power supply of the power grid. Against the backdrop of global warming and the frequent occurrence of the El Niño phenomenon, extreme events will become more common and intense. In the future, new power systems will face issues such as a rapid increase in short-term load, the increasingly prominent peak load, and more prominent problems of system balance and operation risks. Therefore, it is crucial to improve the ability to prevent, resist, respond to extreme events, and quickly restore power supply. To enhance the resilience of the system, it is necessary to conduct in-depth research on the characteristics of flexible resources in new power systems under extreme climate conditions, the mechanism of flexible resources participating in the power and electricity balance under extreme climate conditions, and the planning and operation technologies of new power systems, so as to enhance the system resilience from both the operation and planning levels.

Chair: Dr. Haijun Xing, Shanghai University of Electric Power, China

Haijun Xing is currently a Lecturer at Shanghai University of Electric Power. He is the registered electrical engineer, IEEE Member, CSEE Member. He received his B.Eng. and M.Eng. degrees in Department of Electrical Engineering from Harbin Institute of Technology, Harbin, China, in 2002 and 2004 respectively. He received his Ph.D. degrees in Department of electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2016. His special fields of interest cover power system optimization, renewable energy integration and new power system. He has presided over a number of horizontal scientific and technological projects, including those of State Grid Corporation of China, and participated in a number of national-level projects such as the 863 Program and the National Key Research and Development Program. He has won 1 first prize of Shanghai Science and Technology Progress Award. He has published more than 50 papers as the first author or corresponding author, over 40 of which have been included in SCI and EI, and 1 ESI highly cited papers.

Co-chair: Dr. Songli Fan, Suzhou University of Science and Technology, China

Songli Fan is currently a Lecturer at Suzhou University of Science and Technology. She is an IEEE Member, CSEE Member, CES Senior Member, IEC International Standardization Working Group Memeber. She received the B.S. degree from Sichuan University, Chengdu, China, in 2013, and Ph.D. degree from Shanghai Jiao Tong University, Shanghai, China, in 2018. From 2016 to 2017, She was a Visiting Ph.D. student at Argonne National Laboratory, Argonne, IL, USA. Her research interests include power system optimization, virtual power plant and integrated energy system. She has participated in a number of national-level projects such as the National Key Research and Development Program, National Natural Science Foundation of China. She has published more than 30 papers as the first author or corresponding author, over 20 of which have been included in SCI and EI.

Co-chair: Dr. Xiao Hu, Northeast Electric Power University, China

Hu Xiao is currently a Lecturer at Northeast Electric Power University.He is an IEEE Member, and a member of the Power Expert Group of the China Energy Society. He received the B.S. degree from University of Science and Technology of China in 2011, M.S. degree from University of Chinese Academy of Sciences in 2014, and Ph.D. degree from Shanghai Jiao Tong University in 2020. He has long been engaged in the research of integrated energy system optimization planning, energy quality, artificial intelligence and other fields. In 2022, he was selected into the Jilin Province Youth Growth Science and Technology Program. In 2024, he was funded by the Young Backbone Teachers Overseas Training Program of the China Scholarship Council and visited Trinity College Dublin, Ireland for one year. He has published more than 20 papers retrieved by SCI/EI and been granted 4 national invention patents.

Call for Papers Timeline / 征稿时间

  • Submission of Full Paper: March 10th, 2025
    投稿截止日: 2025年3月10日 

  • Notification Deadline: March 30th, 2025
    通知书发送: 2025年3月30日 

  • Registration Deadline: April 10th, 2025
    注册截止日期: 2025年4月10日