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Session 9: Optimal Scheduling of Demand Response Resources In Low Carbon Distribution System

“低碳配电系统中需求响应资源的优化调度”

Session 9

Optimal Scheduling of Demand Response Resources In Low Carbon Distribution System
“低碳配电系统中需求响应资源的优化调度”

With the high penetration of distributed renewable energy resources on the user side, the insufficient local energy consumption rate has gradually become the main problem challenging the safe operation of the superior power system. The local energy trading market is now considered a silver bullet to address this issue. It optimizes the end-users electricity trading revenue and gas emissions while improving the local energy consumption rate. However, the current research on local energy trading systems is inadequate. The uncertain distributed renewable energy outputs make it difficult to guarantee locally generated energy delivery. The existing local energy market mechanisms cannot suppress the participants’ strategic bidding, which makes the market imperfectly competitive. Therefore, it is of great significance to collaboratively schedule various demand-side energy resources to further improve the local energy market performance and local energy consumption rate.  

The main goals of this special issue are:
1. Applying model-driven or data-driven methods to optimally schedule the demand-side energy resources;
2. Coordinating various types of demand-side resources (for example, flexible load resources, distributed energy storages, micro gas turbines) to improve the local energy consumption rate;
3. Using various types of demand-side resources (for example, flexible load resources, distributed energy storages, micro gas turbines) to further increase the local energy market participants’ profits and reduce gas emissions;
4. Utilizing the demand-side energy resources to neutralize fluctuations in distributed renewable energy generation outputs;
5. Developing novel trading mechanisms to suppress the market participants’ strategical behaviors.

  • 1. Local energy market design, operation, and control
  • 2. Demand-side resource optimal scheduling, including distributed energy generations, energy storages, and flexible loads
  • 3. Optimal configuration of energy storage on the user side
  • 4. Load regulation and forecasting
  • 5. Modeling and optimization of demand-side integrated energy system
  • 6. Modeling and optimization of low-carbon energy systems
  • 7. Collaborative operation between microgrids and distribution networks

Chair: Dr. Yuanxing Xia, Hohai University, China

Yuanxing Xia received the B.Sc. degree in electrical engineering from Hohai University, Nanjing, China, in 2019, and the Ph.D. degree in electrical engineering with the School of Electrical Engineering, Southeast University, Nanjing, China, in 2023. He is currently an Assistant Professor with the College of Electrical and Power Engineering, Hohai University. His research interests include the energy storage technology and P2P power transaction. As the first/corresponding author, He has published more than 50 SCI/EI indexed journal papers. Dr. Xia serves as the editor and topic editor of PCMP, IET ECE, Plos One, Electronics, and Frontiers in Energy Research.

Co-chair: Assoc. Prof. Yu Huang, Nanjing University of Posts and Telecommunications, China

Yu Huang received his B.S. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2015, and the Ph.D. degree from Southeast University, Nanjing, China, in 2020, both in Electrical Engineering. He is currently an associate professor with the Institute of Carbon Neutrality and Advanced Technology, Nanjing University of Posts and Telecommunications, China. He was a Visiting Research Scholar with Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA. As the first/corresponding author, He has published more than 20 SCI/EI indexed journal papers. Dr. Huang served as the technical committee member and session chair of several IEEE/international academic conferences. His research interests include power system operation and optimization, uncertainty quantification and risk analysis of renewable integrated systems.

Co-chair: Assoc. Prof. Yang Li, Hohai University, China

Yang Li, born in 1992, received the B.S. degree and the Ph.D degree in electrical engineering from Zhejiang University, Hangzhou, China, in 2014 and 2019. He spent a year as a visiting scholar at Illinois Institute of Technology from 2017 to 2018. He joined College of Energy and Electrical Engineering of Hohai University in 2019. He was selected as the fourth level of Dayu Scholars of Hohai University in 2021. He undertakes the Youth Project of the National Natural Science Foundation of China and the Youth Project of the Natural Science Foundation of Jiangsu Province. The main research interests include the optimization of multi-energy complementary systems.

Call for Papers Timeline / 征稿时间

  • Submission of Full Paper: November 30th, 2025
    投稿截止日: 2025年11月30日 

  • Notification Deadline: December 30th, 2025
    通知书发送: 2025年12月30日 

  • Registration Deadline: January 20th, 2026
    注册截止日期: 2026年1月20日