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Session 15: Optimization of Multi-agent Operation and Planning within New Distribution Systems Empowered by AI/Data-driven Approaches

“AI/数据驱动赋能的新型配电系统多元主体运行规划优化”

Session 15

Optimization of Multi-agent Operation and Planning within New Distribution Systems Empowered by AI/Data-driven Approaches
“AI/数据驱动赋能的新型配电系统多元主体运行规划优化”

Driven by the energy transition and "dual carbon" goals, distribution systems are undergoing a profound paradigm shift from traditional unidirectional operation to multi-directional Source-Grid-Load-Storage interactions. The large-scale integration of distributed energy resources (DERs) coupled with increasingly diversified load profiles has intensified power fluctuations and substantially elevated operational complexity. This transformation faces a critical coordination challenge stemming from heterogeneous stakeholders—including DERs, energy storage systems, virtual power plants, and hydrogen production systems—which exhibit significant divergences in value propositions, decision-making autonomy, and information exchange mechanisms, thereby creating complex multi-agent, high-dimensional, strong uncertainty coordination dilemmas. Artificial intelligence (AI) and data-driven technologies emerge as a viable technical pathway to address these challenges through deep integration and mining of multi-source heterogeneous data. These approaches effectively manage system uncertainties by precisely characterizing agent behaviors and interaction patterns, bridging information silos, and enabling coordinated decision-making across planning and operational phases—ultimately laying the foundation for secure, efficient, and low-carbon next-generation distribution systems. We cordially invite global scholars and engineers to share cutting-edge research and practical insights, to jointly advance innovative breakthroughs and scalable applications of AI/data-driven technologies for synergistic multi-agent coordination in modern distribution networks.

在能源转型与“双碳”目标驱动下,配电系统正经历从传统单向模式向“源网荷储”多向互动的深度重构。分布式能源规模化接入与负荷特性多元化演变,导致系统功率波动加剧、运行复杂度显著跃升,配电系统中分布式能源、储能系统、虚拟电厂、制氢系统等多元主体在价值目标、决策权限、信息交互机制上存在显著差异甚至冲突,形成了“多主体-高维度-强不确定性”的复杂协同难题。AI与数据驱动技术作为破解这一难题的有效技术路径,通过深度整合和挖掘多源异构数据价值,能够有效应对系统不确定性,以及精准刻画主体行为与互动规律、弥合信息孤岛、驱动跨时空跨主体的规划运行协同决策,从而赋能构建安全、高效、低碳的新型配电系统。 本专题诚邀全球学者与工程师分享前沿研究成果与实践经验,共同推动AI/数据驱动赋能的新型配电网多元主体协同运行规划优化技术的创新突破与规模化应用。  

Topics (Including but not limited to)

  • (1)AI/Data-driven Multi-modal Modeling and Intelligent Decision-making Algorithms for Distribution Systems | AI/数据驱动赋能的配电系统多模态建模与智能决策算法
  • (2)Multi-agent Coordinated Operation and Active Support Technology of Distributed Energy Resources | 分布式能源多主体协同运行及主动支撑技术
  • (3)Demand Response Strategies and Virtual Power Plant Aggregation Optimization | 需求侧响应与虚拟电厂聚合优化策略
  • (4)Coordinated Planning and Operation Optimization of Hydrogen Production and Distribution Network | 制氢系统与配电网协同规划运行优化
  • (5)Operation Control and Planning Optimization of Diversified Energy Storage System | 多元储能系统运行控制与优化规划
  • (6)Vehicle-Road-Network Interaction Mechanisms, Coupling Modeling, and Coordinated Optimization | 车-路-网互动机制、耦合建模与协同优化
  • (7)Local Energy Market Mechanisms and Trading for Distributed Energy Resources | 本地能源市场机制与分布式能源交易

Chair: Assoc. Prof. Li Ma, Institute of Electrical Engineering, Chinese Academy of Sciences, China

Li Ma is an associate professor at the Institute of Electrical Engineering, Chinese Academy of Sciences, and Deputy Director of the Key Laboratory of Long-duration Energy Storage (CAS). She received the B.S., M.S., and Ph.D. degrees from North China Electric Power University, Beijing. She has been selected for the CAS "Hundred Talents Program" and received priority support. She is an IEEE Senior Member and a Senior Member of the Chinese Society for Electrical Engineering. From 2018 to 2021, she conducted postdoctoral research at the University of Wisconsin-Milwaukee and Stevens Institute of Technology in the United States. Her primary research focuses on the planning and operational optimization of power distribution systems, including demand-side response, energy storage configuration, and distribution network topology identification, etc. She has led one general project under the National Natural Science Foundation of China (NSFC), two tasks of NSFC Joint Fund and State Grid Corporation Headquarters S&T Project, and undertook one UK Royal Society International Exchanges Project as the Chinese Principal Investigator. Additionally, as a core researcher, she has participated in over 20 national key projects, including the National Key R&D Program, and NSFC Key/General Programs. She has published over 50 papers in prestigious domestic and international journals and conferences, accumulating more than 3,000 citations.

Co-chair: Prof. Zhaoxi Liu, South China University of Technology, China

Zhaoxi Liu (Senior Member, IEEE) received his bachelor and master degrees from Tsinghua University and his Ph.D. degree from Technical University of Denmark (DTU). He is currently a professor at the School of Electric Power Engineering, South China University of Technology. He has over ten years of experience in the academic research and industrial projects of power and energy engineering in China, Denmark and the United States. He has contributed to more than fifteen large-scale industrial power engineering projects. He has published more than 50 articles as the author or co-author in journals, as book chapters or in conference proceedings. His research interests include power system operation and control, power system security and risk management, and the integration of renewable energy sources and distributed energy resources in energy systems.

Co-chair: Prof. Qifang Chen, Beijing Jiaotong University, China

Qifang Chen, Professor with the School of Electrical Engineering Beijing Jiaotong University. He is the Senior member of CSEE, IEEE member, member of IEEE PES China Electric Vehicle Technical Committee, member of IEEE PES energy Internet Technical Committee, outstanding young talents of Beijing. He is a member of Young editorial board member of the journal of 《China Electric Power》. He worked as session chair on 2022 the 12th International Conference on Power and Energy Systems. His research interests include low carbon distribution network, Transportation and Energy Integration and V2G technology. He is undertaking two research projects supported by the National Natural Science Foundation, two research projects supported by National Key Research and Development Program. He has published more than 40 academic papers, 2 ESI high cited paper. He won the Second Prize of Natural Science Award of the Ministry of Education and the Third prize of Science and Technology Progress Award of Zhejiang Province.

Co-chair: Dr. Yafei Yang, Shaanxi University of Science and Technology, China

Dr. Yafei Yang earned her B.Eng. in Electrical Engineering and Automation and Ph.D. in Control Science and Engineering both from Xi’an Jiaotong University. She served as a Researcher at the Midcontinent Independent System Operator (MISO) in the U.S., concurrently holding postdoctoral positions at Clarkson University and Stevens Institute of Technology. After that, she joined the School of Electrical and Control Engineering at Shaanxi University of Science and Technology. Her research focuses on cyber-physical energy systems, security and economics of complex networked systems, electricity market bidding and game theory, and data-driven optimization. She has published over 20 papers in top-tier journals and conferences, including IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, and IEEE Transactions on Sustainable Energy, and holds one U.S. granted patent. Her accolades include XJTU’s Outstanding Doctoral Dissertation Award, the Xu Zongben Applied Mathematics Prize, and IEEE Transactions on Power Systems’ Best Reviewer recognition.

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