With the rapid integration of renewable energy and the transition toward a low-carbon power system, unlocking the regulatory potential of massive distributed flexible resources on the demand side has become crucial for ensuring the secure, stable, economical, and efficient operation of power grids. This session focuses on large-scale aggregation and control technologies for demand-side flexible resources (such as adjustable loads, distributed energy storage, electric vehicles, and smart buildings) and their deep interaction mechanisms with power grids. Key discussions will address how advanced information and communication technologies (ICT), artificial intelligence (AI), and coordinated control methods can enable efficient aggregation, unified scheduling, and dynamic response of heterogeneous resources. Additionally, the session will explore business models and value realization pathways for flexible resources participating in electricity markets and providing peak-shaving and frequency-regulation ancillary services. The goal is to advance demand-side resources from “passive response” to “active support”, providing core technologies and solutions for building a modern power system.
The Relevant Topics (including but not limited to):
1) Potential Assessment and Aggregation Modeling of Demand-Side Flexible Resources
2) Coordinated Operation and Disaggregation Control of Aggregated Flexible Resources
3) Profit Settlement for Flexibility Resource Stakeholders Under Privacy Protection
4) Demand-Side Resource Participation in Electricity Markets and Grid Interaction
5) Large-Scale Demonstration Projects and Innovative Business Models
随着新能源高比例接入与电力系统低碳化转型加速，挖掘需求侧海量分散灵活性资源的调节潜力，成为保障电网安全稳定、经济、高效运行的关键。本专题聚焦于需求侧灵活性资源（如可调节负荷、分布式储能、电动汽车、智能楼宇等）的大规模聚合调控技术及其与电网的深度互动机制。重点探讨如何通过先进的信息通信、人工智能与协同控制技术，实现对海量异构资源的有效聚合、统一调度与动态响应；探索灵活性资源参与电力市场交易、提供调峰调频辅助服务的商业模式与价值实现路径。本专题旨在推动需求侧资源从“被动响应”向“主动支撑”转变，为构建新型电力系统提供核心技术与解决方案。
专题的相关话题(包括但不限于)：
1）需求侧灵活性资源潜力评估与聚合建模技术
2）聚合灵活性资源协调运行与解聚控制技术
3）隐私保护下的灵活性资源利益主体收益结算技术
4）需求侧资源参与电力市场与电网互动技术
5）规模化应用示范与商业模式创新
Dr. Youjun Deng is currently a Tianfu-Emei Young Talent (Sichuan Provincial High-level Talent Program) and currently serves as Assistant to the Dean, Lecturer, and Master’s Supervisor at the School of Electrical and Information Engineering, Southwest Petroleum University. He is also a council member of the Large Power Grid Planning Technology Subcommittee under the IEEE PES China Technical Committee on Operation, Planning, and Economics. Additionally, he holds youth editorial positions for high-impact journals including Protection and Control of Modern Power Systems and IET Energy Conversion and Economics. Dr. Deng has led 2 research projects including the National Natural Science Foundation of China (NSFC) and served as a key researcher in multiple national-level projects. He has published over 35 peer-reviewed papers in prestigious journals, with one research achievement successfully commercialized.
Dr. Tao Zhang, Master Supervisor at Hefei University of Technology, an IEEE Member, and a reviewer for journals including IEEE TSG, IEEE TSTE, IEEE TPWRD and Applied Energy. His research primarily focuses on optimal operation of flexible distribution networks, power system restoration, and AI applications in power systems. He has presided over or participated in over 10 projects such as the National Natural Science Foundation of China, National Key R&D Program of China, Anhui Province University Collaborative Innovation Projects, and State Grid Corporation Headquarters Science and Technology Projects. In the past five years, he has published more than 20 SCI/EI-indexed papers (including 10 in SCI Q1 Top Journals), holds 7 granted/pending Chinese invention patents, and has contributed to one monograph.
Submission of Full Paper | 投稿截止: August 30th, 2025 | 2025年8月30日
Notification Deadline | 录用通知： September 15th, 2025 | 2025年9月15日
Registration Deadline | 注册截止: September 30th, 2025 | 2025年9月30日
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