Special Session 4
AI DC and computing power coordination

"AI DC 与算电协同"

This special issue aims to gather cutting-edge research on AI data centers and computing-power collaboration, focusing on the spatiotemporal evolution of multi-level energy consumption and carbon footprint, constructing a joint scheduling model for computing tasks and power flow, exploring the adjustable capacity and response speed of servers, cooling, energy storage, and other components, designing incentive-compatible electricity market participation and green electricity trading mechanisms, and forming a methodology for the planning and operation of computing-power collaboration to support new electricity system. The topics for submission include: refined modeling and real-time perception of data center energy consumption and carbon emissions; cross-domain computing-power joint optimization scheduling for renewable energy consumption; flexible load aggregation and demand response strategies across multiple time scales; data center participation in ancillary services; collaborative planning of computing networks and energy storage/green electricity; and evaluation standards for computing-power collaboration.

本专题旨在汇聚AI数据中心与算电协同前沿研究，聚焦多层级能耗与碳足迹的时空演变规律，构建算力任务与电力潮流联合调度模型，挖掘服务器、制冷、储能等环节的可调容量与响应速度，设计激励相容的电力市场参与及绿电交易机制，形成支撑新型电力系统的算电协同规划与运行方法论。征稿主题包括：数据中心能耗碳排精细化建模与实时感知，面向新能源消纳的跨域算力-电力联合优化调度，多时间尺度灵活负荷聚合与需求响应策略，数据中心参与辅助服务，算力网络与储能、绿电协同规划，以及算电协同评价标准等。  

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Chair: Prof. Zhixin Wang, Shanghai Jiaotong University, China

Zhixin Wang received his bachelor's, master's, and doctoral degrees from Zhejiang University in 1985, 1988, and 1994, respectively. He is currently a researcher and doctoral supervisor at Shanghai Jiao Tong University, as well as a graduate supervisor at Shanghai University of Electric Power. His main research interests include: 1.Wind power generation and converter technology; 2.Integrated energy systems.  

 

Co-chair: Prof. Hui Chen, Shanghai University of Electric Power, China

Hui Chen was born in Huludao, Liaoning Province, China, in 1982. She received the B.Sc. degree in Measurement and Control Technology and Instruments from Jiangsu University, Zhen jiang, China, in 2006, and the M.Sc. and Ph.D. degrees in Control Theory and Control Engineering from Shanghai University, Shanghai, China, in 2009 and 2014, respectively. She has been working at Shanghai University of Electric Power in China since 2014, and is currently a professor and associate director of the Faculty of Artificial Intelligence. Professor Chen is a recipient of the Shanghai Municipal "Oriental Elite Talents Program" and the "Pujiang Talent Program. In recent years, she has led more than ten research projects, including grants from the National Natural Science Foundation of China, the Ministry of Science and Technology / State Administration of Foreign Experts Affairs, and the Shanghai Natural Science Foundation. Professor  Chen has published over 30 highquality journal papers in venues such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Geoscience and Remote Sensing, and Pattern Recognition. Her research interests include 3D visual perception for power systems, machine vision, and pattern recognition.  

Co-chair: Dr. Binkai Jiang, State Grid Shanghai Municipal Electric Power Company, China

Binkai Jiang (1990-) holds both his bachelor's and doctoral degrees from Shanghai Jiao Tong University. He currently works at State Grid Shanghai Municipal Electric Power Company as a senior engineer. His main research areas include new energy power generation, flexible DC transmission, digital transformation of power grids, substation operation and maintenance management, and power grid enterprise management. He has published over 20 papers, obtained 8 authorized invention patents, and participated in the formulation of 2 industry standards. He has led and completed 2 State Grid Shanghai Electric Power Company science and technology projects and is currently participating in 1 National Natural Science Foundation of China project.