Market-Based Optimization of Demand Response with Flexible Distributed Energy Resources

The increasing penetration of flexible distributed energy resources (DERs), including controllable loads, distributed generation, energy storage systems, and electric vehicles, is fundamentally reshaping the role of demand response (DR) in modern power systems. Demand response is transitioning from utility-driven load shedding schemes toward market-based mechanisms that enable active participation of demand-side flexibility in electricity markets.

This session invites original research contributions on market-oriented and optimization-based demand response enabled by flexible distributed energy resources. Topics of interest include modeling, optimization, and market design frameworks that coordinate large-scale distributed flexibility while accounting for operational constraints, uncertainty, and strategic interactions among market participants. Contributions addressing the integration of demand response into energy, capacity, and ancillary service markets, as well as the coordination between wholesale and distribution-level operations, are particularly encouraged. Topics of interest include, but are not limited to:

1. Market-based demand response models with flexible DERs

2. Optimization and co-optimization of demand response and DER operations

3. Price-based and incentive-based demand response mechanisms

4. Aggregator-based coordination and strategic bidding of demand-side flexibility

5. Bilevel, hierarchical, and distributed optimization frameworks for DR

6. Demand response participation in energy, capacity, and ancillary service markets

7. Multi-timescale scheduling and real-time optimization of demand-side resources

8. Uncertainty-aware and data-driven approaches for demand response

9. Transactive energy frameworks and demand-side market participation

10. Market design and regulatory aspects for large-scale DR integration

Chair:  

Wenjie Liu, Guangzhou University, China

Wenjie Liu received the B.E. degree from the China University of Mining and Technology, Xuzhou, China, in 2015, the M.S. degree from the University of Science and Technology of China, Hefei, China, in 2018, and the Ph.D. degree from The University of Hong Kong, Hong Kong, SAR, China, in 2022. From September 2022 to August 2023, he was a Research Associate with The Chinese University of Hong Kong. From October 2023 to August 2024, he was a Postdoctoral Research Fellow with The Hong Kong Polytechnic University. He is currently an Associate Professor with Guangzhou University, Guangzhou, China. His research interests include the planning and operation of integrated transportation and power distribution networks.

Co-chair：

Wenqian Yin, Nanjing Tech University, China

Wenqian Yin received the B.E. in electrical engineering from Jiangsu University, Zhenjiang, China, in 2015, the M.S. degree in electrical engineering from Hohai University, Nanjing, China, in 2018, and the Ph.D. degree in electrical engineering from The University of Hong Kong, Hong Kong, China, in 2022. She is currently a lecturer with School of Energy Science and Engineering, Nanjing Tech University, Nanjing, China. She was a Visiting Scholar with University of Central Florida, Orlando, FL, USA, and a Research Associate with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China. Her research interests include resilient planning and operation of renewable-penetrated power systems, Hydrogen energy storage, and demand response.