Session 22: Grid-Edge Intelligence and Coordinated Management of Distributed Energy Resources

“电网边缘智能与分布式能源资源的协同管理”

Session 22

Grid-Edge Intelligence and Coordinated Management of Distributed Energy Resources
“电网边缘智能与分布式能源资源的协同管理”

With the rapid growth of distributed energy resources (DERs), including renewable generations, energy storage systems, electric vehicles, and flexible loads, power systems are undergoing a fundamental transition toward distributed, intelligent, and highly dynamic operation paradigms. Traditional centralized monitoring and control approaches are increasingly challenged by scalability, latency, and interoperability issues at the distribution grid level. Grid-edge intelligence has emerged as a key enabler for the next-generation distributed intelligent grid, allowing sensing, decision-making, and coordinated control to be performed closer to the physical assets. By leveraging edge computing, distributed optimization, and hierarchical coordination mechanisms, grid-edge intelligence facilitates efficient, reliable, and scalable management of massive DERs while respecting local network constraints.
This special session aims to provide an international forum for researchers and practitioners to present recent advances in grid-edge intelligence architectures, control and optimization methodologies, and real-world deployment experiences for the coordinated management of distributed energy resources in active distribution networks.

Topics (Including but not limited to)

Grid-edge intelligence architectures for active and intelligent distribution networks（面向有源与智能配电网的电网边缘智能体系结构）
Coordinated management and aggregation of distributed energy resources（分布式能源资源的协同管理与聚合控制方法）
Edge-based state estimation, monitoring, and situational awareness（基于边缘侧的状态估计、运行监测与态势感知技术）
Distributed and hierarchical optimization and control for DER coordination（面向分布式能源协调的分布式与分层优化控制方法）
Integration of electric vehicles, energy storage systems, and flexible loads at the grid edge（电动汽车、储能系统与柔性负荷在电网边缘侧的协同接入与运行）
Interoperability, scalability, and real-time implementation of grid-edge solutions（电网边缘智能系统的互操作性、可扩展性与实时实现技术）

Chair: Assoc. Prof. Peng Zhuang, Zhengzhou University, China

Peng Zhuang received the B.Sc. and Ph.D. degrees in electrical and computer engineering from the University of Alberta in 2015 and 2020, respectively. He is currently an Associate Professor at the School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, Henan, China. His research interests include smart grid, virtual power plants, active distribution networks, power system operation and control, renewable integration, grid flexibility, and cybersecurity. He has published more than 20 SCI/EI indexed journal papers in the past five years.

Co-chair: Dr. Qiangang Jia, Zhengzhou University, China

Qiangang Jia, Lecturer at Zhengzhou University, primarily focuses on distributed energy resources optimization, and the electricity market. He received his Bachelor's degree in Electrical Engineering and Automation from Shandong University in 2018 and his Ph.D. in Electrical Engineering from Shanghai Jiao Tong University in 2023, where he was honored as an Outstanding Doctoral Graduate. He has led several scientific research projects funded by National Natural Science Foundation of China, Natural Science Foundation of Henan, and Foundation of Key Laboratory of Cleaner Intelligent Control on Coal & Electricity. He has published over 20 papers in top international journals, including IEEE Transactions on Smart Grid, IEEE Transactions on Cloud Computing, Journal of Energy Storage, etc.

Co-chair: Dr. Jiamei Li, Shanghai Jiao Tong University, China

Jiamei Li, Assistant Researcher at Shanghai Jiao Tong Univ., focuses on virtual power plants, power ancillary services & electricity trading. She led 1 Shanghai Sci-Tech Comm. project, 2 State Grid Shanghai projects, 1 Shandong Electric Power project & 1 university talent project; joined 2 Natl Energy Admin. consulting projects (World Bank-collab.), gaining major project experience. Her research won 2023 China Gen Chamber of Commerce Sci-Tech Award 2nd Prize (7th/15). Published 10+ papers in Appl Energy, IEEE Trans Sustain Energy, etc.; holds 3 invention patents. One paper was 2023 Proc CSEE High-Impact Paper (Top 20 Smart Grid); two papers listed as CNKI Highly Cited/Downloaded Papers.

Co-chair: Dr. Peng Bao, Zhengzhou University, China

Peng Bao received his B.S. degree in Electrical Engineering and its Automation from Zhengzhou University, Zhengzhou, China, in 2018; his M.S. degree in Electrical Engineering from Shandong University, Jinan, China, in 2021; and his Ph.D. degree in Electrical Engineering from Southeast University, Nanjing, China, in 2024. He is currently a Lecturer with the School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China. His current research interests mainly include demand response of 5G base stations, power system operation and optimization, integrated energy-information system analysis. He has published more than 10 SCI/EI indexed journal papers in the past five years.

Call for Papers Timeline / 征稿时间

Submission of Full Paper： February 1st, 2026
投稿截止日： 2026年2月1日
Notification Deadline： March 1st, 2026
通知书发送： 2026年3月1日
Registration Deadline： March 20th, 2026
注册截止日期： 2026年3月20日

Submission Guideline / 投稿指南

Template Download: Formatting.doc (文章模板)

Submit Now: Electronic Submission System (投稿链接)