Track 12

1. Organizers:

Kecheng He (何克成), Lanzhou Jiaotong University (兰州交通大学)

Qian Jiang (江骞), Guangxi University (广西大学)

He Meng (孟赫), Hebei University of Technology (河北工业大学)

Ziqi Zhang (张梓麒), Nanjing Normal University (南京师范大学)

2. Abstract:

English: With the acceleration of new-type power system construction and the integration of transportation and energy, user-side resources such as electric vehicles, distributed energy storage, building loads, data centers, and integrated energy systems are transitioning from traditional energy consumers to flexible resources that are adjustable, tradable, and aggregatable. This forum focuses on frontiers including vehicle-to-grid (V2G) interaction, power-computing synergy, integrated energy systems, and demand response. It aims to facilitate exchanges on key theories, methods, and application scenarios for modeling, forecasting, aggregating, scheduling, and market mechanism design of user-side flexibility resources. By exploring the participation of multi-type flexible resources in power grid optimization, source-grid-load-storage coordinated control, and low-carbon energy management, the forum provides academic support for enhancing the safety, economy, and low-carbon performance of new-type power systems.

中文: 随着新型电力系统建设和交通能源融合进程加快，电动汽车、分布式储能、建筑负荷、数据中心及综合能源系统等用户侧资源正逐步由传统用能主体转变为可调节、可交易、可聚合的灵活性资源。本论坛聚焦车网互动、电力-算力协同、综合能源系统与需求响应等前沿方向，围绕用户侧灵活性建模、预测、聚合、调度与市场机制设计展开交流，探讨多类型柔性资源参与电网运行优化、源网荷储协同控制和低碳能源管理的关键理论、方法与应用场景，为提升新型电力系统安全性、经济性和低碳性提供学术支撑。

3. Topics:

• Collaborative optimization of V2G and electric vehicle charging/discharging / 车网互动与电动汽车充放电协同优化
• Modeling, forecasting, and aggregated control of user-side flexibility resources / 用户侧灵活性资源建模、预测与聚合控制
• Power-computing coordinated scheduling and data center demand response / 电力-算力协同调度与数据中心需求响应
• Source-grid-load-storage coordinated optimization in integrated energy systems / 综合能源系统中的源网荷储协同优化
• Distributed energy storage, building loads, and adjustable loads for grid regulation / 分布式储能、建筑负荷与可调节负荷参与电网调节
• Market mechanism design for virtual power plants and aggregators / 虚拟电厂与聚合商参与电力市场机制设计
• User-side energy management and carbon emission optimization for low-carbon operation / 面向低碳运行的用户侧能源管理与碳排放优化
• AI-driven methods for load forecasting, scheduling, and decision-making / 人工智能驱动的用户侧负荷预测、调度与决策方法

4. Invited Speakers:

• Cun Zhang (张存), Tianjin University (天津大学)
• Jiarui Zhang (张嘉睿), Tianjin University (天津大学)
• Haiwen Chen (陈海文), Hebei University of Technology (河北工业大学)
• Yuanyi Chen (陈源奕), Nanjing Normal University (南京师范大学)