Electric–Traffic–Hydrogen Nexus and Industrial Flexibility for Low-Carbon Grid
低碳电网的电力-交通-氢能耦合和工业灵活性
The rapid electrification of transportation, coupled with the increasing penetration of renewable energy, is reshaping the way we design and operate energy and transport infrastructures. Electric vehicles (EVs) act as both loads and mobile storage units, while hydrogen—produced from surplus renewable power—offers long-duration, high-density energy storage. At the same time, industrial loads are becoming increasingly important flexible resources for supporting secure and efficient grid operation through advanced load–grid interaction mechanisms. However, the deep coupling among power grids, traffic networks, and hydrogen systems, together with the growing need for coordinated interaction between grids and industrial loads, introduces new challenges in planning, scheduling, and control. Spatiotemporal mismatches between renewable generation, EV charging demand, traffic flow, hydrogen production/storage, and industrial electricity consumption call for innovative frameworks that can coordinate multiple energy carriers, mobility services, and demand-side flexibility.
This session aims to bring together cutting-edge research on the modeling, optimization, and coordination of electric–traffic–hydrogen integrated systems, as well as industrial load–grid interaction. We invite contributions that address the technical, economic, and behavioral aspects of these emerging challenges, with an emphasis on practical solutions for real-world deployment.
交通电气化的快速推进与可再生能源渗透率的持续攀升，正深刻改变着能源与交通基础设施的设计与运行方式。电动汽车既是用电负荷，也可作为移动储能单元；而利用富余可再生能源制取的氢能，则提供了长时、高密度的储能手段。与此同时，工业负荷也正通过先进的网荷互动机制，逐步成为支撑电网安全高效运行的重要灵活性资源。然而，电网、交通网与氢能系统之间的深度耦合，以及电网与工业负荷之间日益增强的协同互动需求，在规划、调度与控制层面带来了新的挑战。可再生能源出力、电动汽车充电需求、交通流、氢能生产/存储以及工业用电负荷之间的时空失配问题，迫切需要能够协调多种能源载体、交通服务及需求侧灵活性的创新性理论框架。
本分会场旨在汇集电气-交通-氢能集成系统建模、优化与协同，以及工业负荷网荷互动方面的前沿研究成果。我们诚邀聚焦上述新兴问题中技术、经济及行为层面的研究论文，尤其欢迎面向实际工程部署的解决方案。
Topics 征稿主题:
Joint planning and scheduling of EV charging infrastructure
Coordinated planning and operation of power grids, traffic networks, and hydrogen production/storage
Vehicle-to-grid (V2G) or vehicle-to-hydrogen integration for flexibility provision
Multi-energy flow modeling and optimization under renewable uncertainty
User behavior, demand response, and incentive mechanisms in coupled systems
Mobile energy storage system scheduling for assisting renewable energy consumption
Case studies and demonstrations of electric–traffic–hydrogen pilot projects
Industrial load–grid interaction and coordinated flexible operation
电动汽车充电基础设施规划与运行调控
电网、交通网与氢能生产/存储系统的协调规划运行
面向灵活性供给的车网互动技术
可再生能源不确定性下的多能流建模与优化
耦合系统中用户行为、需求响应与激励机制设计
移动储能辅助新能源消纳的调控策略
电气-交通-氢能耦合示范项目的案例研究与实践经验
工业负荷网荷互动与灵活协同运行
Special Session Chairs 专题主席：
Kecheng He, Lanzhou Jiaotong University, China
何克成，兰州交通大学
Kecheng He, Ph.D., Associate Professor at Lanzhou Jiaotong University, Young Talent of Gansu Province, and recipient of Excellent Doctoral Dissertation from Tianjin University. From 2024 to 2025, he was an Assistant Researcher at the School of Engineering, Cardiff University, Cardiff, U.K., where he participated in collaborative research on smart transportation and energy systems. His research interests include electric vehicle charging infrastructure planning, mobile energy supply systems, and the modeling and optimization of integrated transportation-energy networks. He currently leads one National Natural Science Foundation project, and has participated in multiple projects such as the National Key R&D Program and the National Natural Science Foundation (Excellent Youth Fund, Joint Fund, General Fund). In the past three years, he has published more than 10 SCI/EI papers as the first author and has been granted five Chinese/American patents.
Xinxiong Jiang, Wuhan University, China
姜新雄，武汉大学
Xinxiong Jiang received the B.S. and Ph.D. degrees in electrical engineering from the School of Electrical Engineering and Automation, Wuhan University, Wuhan, China, in 2019 and 2024, respectively. He is currently a Postdoctoral Research Fellow/Assistant Researcher with the Department of Electrical Engineering, Wuhan University. From 2022 to 2023, he was a Visiting Researcher at Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA, USA. His research interests include power system situational awareness, digitalized power grids, and intelligent operation and control of power systems. In the past three years, he has published 14 SCI/EI-indexed papers in journals such as IEEE Transactions on Power Systems and IEEE Transactions on Sustainable Energy, filed or been granted 15 Chinese invention patents, and registered five software copyrights. He has also participated in several major research projects, including three National Key R&D Program projects, two NSFC Integrated Program projects, and one Hubei Provincial Major Science and Technology Special Project.