Modelling, Planning and Coordinated Operation of Energy-Transportation Systems

With the acceleration of transportation electrification, particularly the widespread adoption of electric vehicles (EVs), the coupling between the energy system and the transportation system has become increasingly tight. This significantly alters the spatiotemporal distribution of energy demand and grid load. On the other hand, the uncertainty introduced by the integration of high-penetration renewable energy sources places higher demands on the power system's flexibility and regulation capabilities. Against this backdrop, planning and operating energy and transportation systems in isolation is no longer preferable or even feasible. They must be viewed as a highly interconnected, mutually influential integrated system for synergistic analysis, planning, and optimization. This is crucial not only for the security, stability, and economic operation of the power grid but also directly determines the sustainable development path and emission reduction benefits of transportation electrification.

This session aims to explore cutting-edge theories and key technologies for the "Integrated Energy and Electrified Transportation System". It focuses on how to unlock the vast potential of electric vehicles as distributed energy storage resources through integrated modeling, collaborative planning, and optimized operation, while ensuring grid reliability and enhancing the overall economic efficiency and resilience of the interconnected system. We encourage submissions of innovative research covering cross-system collaborative modeling, joint planning methodologies, real-time optimal dispatch, market mechanism design, and empirical studies. Researchers in related fields are warmly invited to contribute.

Topics of interest include, but are not limited to:

1. Modeling and simulation frameworks for coupled energy-transportation systems.

2. Coordinated planning of distribution networks and charging infrastructure considering traffic flow and charging demand.

3. Coordinated dispatch strategies for EV clusters participating in grid services (frequency regulation, peak shaving, voltage support).

4. EV charging load forecasting and management considering user behavior and traffic network constraints.

5. Optimal design and operation of integrated photovoltaic-storage-charging systems.

6. Market mechanisms and electricity pricing design for Vehicle-to-Grid (V2G) interactions.

7. Integrated planning of bulk power systems and electrified transportation networks.

8. Operational control of integrated systems based on multi-agent systems and distributed optimization.

9. Resilience enhancement strategies for integrated energy-transportation systems under extreme events.

10. Application of big data and artificial intelligence in state perception and optimal decision-making for integrated systems.

11. Economic assessment, carbon emission accounting, and policy analysis for integrated systems.

12. Related demonstration projects, empirical case studies, and cross-industry standards research.

Chair:  

Hao Li, Shanghai Jiao Tong University, China

Dr. Hao Li received the Ph.D degree in electrical engineering from Shanghai Jiao Tong University. He is currently the assistant researcher at the college of smart energy, Shanghai Jiao Tong University. His research interests include energy and transportation integrated planning and optimal operation, application of operations research optimization theory and artificial intelligence in electrified transportation.

Co-chairs：

Shuai Fan, Shanghai Jiao Tong University, China

Dr. Shuai Fan received the Ph.D. degree in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2021. He was also a Visiting Scholar with Southern Methodist University, Dallas, TX, USA, from 2018 to 2019. He is currently an Associate Researcher with the School of Electrical Engineering, Shanghai Jiao Tong University. His research interests include virtual power plant, demand response, and online optimization in power systems. 

Jie Wang, Shanghai Jiao Tong University, China

Dr. Jie Wang received the Ph.D. degrees in electrical engineering from Shanghai Jiao Tong University. He is currently the assistant researcher at the college of smart energy, Shanghai Jiao Tong University. His research interests include the flexible control and energy management of microgrids.

Xin Ding, Shanghai University of Electric Power, China

Dr. Xin Ding currently works at the School of Electrical Engineering, Shanghai University of Electric Power. His research interests include industrial load modeling and control, microgrid frequency control, among others.