Market-Driven Flexible Distributed Energy Resource Coordination

With the rapid proliferation of electric vehicles (EVs), vehicle-to-grid (V2G) technologies, and distributed energy resources (DERs), power systems are undergoing a paradigm shift toward greater decentralization, flexibility, and interactivity. These emerging flexible resources not only provide local energy support but also offer significant potential for participating in electricity markets and providing grid services such as frequency regulation, peak shaving, and voltage support. This session focuses on market-driven coordination of flexible distributed energy resources, emphasizing how EVs, V2G-enabled systems, and other DERs can be aggregated, controlled, and optimized to actively participate in energy and ancillary service markets. The goal is to enable scalable, efficient, and dynamic integration of these resources into the future smart grid and Energy Internet. Topics of interest include, but are not limited to:

1. Aggregation models and control strategies for EVs and DERs

2. V2G and V2X technologies for market and grid services

3. Smart and bidirectional EV charging under market signals

4. Multi-agent systems and decentralized coordination algorithms

5. Demand-side flexibility and market-based demand response

6. Energy trading platforms for distributed energy participation

7. Transactive energy and peer-to-peer (P2P) energy markets

8. Real-time scheduling and optimization of distributed flexibility

9. Role of aggregators in electricity and ancillary service markets

10. Regulatory frameworks and market design for flexible DER integration

11. Case studies and pilot projects for V2G and DER market participation

Chair:

Hongcai Zhang, University of Macau, China

Hongcai Zhang received the B.S. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2013 and 2018, respectively. In 2018-2019, he was a postdoctoral scholar at the University of California, Berkeley, USA. In 2019, he joined the State Key Laboratory of Internet of Things for Smart City of the University of Macau, Macao, China, where he is currently an Associate Professor in Smart Energy. Hongcai Zhang’s research focuses on urban integrated energy systems, transportation electrification, data analytics & artificial intelligence.

Co-chairs：

Heyang Yu, Electric Power Research Institute, China Southern Power Grid Co. Ltd., China

Heyang Yu received the Ph.D. degree in electrical engineering from Zhejiang University, in 2024. He joined the Electric Power Research Institute, CSG as a researcher in 2024 . His research interests include demand side management, DER Integration, EV power grid integration and AI in power systems.

Haosen Yang, Dalian University of Technology, China

Haosen Yang, Dalian University of Technology, Associate Professor. He has obtained the Ph.D. degree in Shanghai Jiao Tong University in 2022. He was a Postdoctoral Fellow in Hong Kong Polytechnic University. His research interests include cyber-physical system, application of artificial intelligence into power grids.

Hanjiang Dong, University of Macau, China

Hanjiang Dong was born in Guangdong, China, in 1998. He obtained a Ph.D. degree from South China University of Technology in 2025. His research interests include power system operation, load forecasting, energy economics, and microgrids.