The large-scale utilization of flexible resources can significantly enhance the economic efficiency, reliability, and low-carbon performance of power systems by integrating diverse adjustable resources. Flexible resources—such as energy storage, demand response, and gas-fired units—can rapidly respond to the variability of renewable energy output (e.g., wind and solar), reducing curtailment while participating in frequency regulation, voltage control, and reserve markets to improve dynamic stability. Distributed flexible resources (e.g., customer-side energy storage) can reduce peak demand, lowering the need for grid expansion. Studies in California show that demand response can cut peak investment costs by 5%–15%. By optimizing dispatch through market bidding, flexible resources minimize the operation of high-cost units and enable fast power restoration during grid failures, shortening outage durations and achieving local power balance to relieve stress on the main grid. Through the synergy of technology, market mechanisms, and policy, large-scale flexible resource utilization transforms the traditional "generation-follows-load" model into a "generation-load interaction" paradigm, achieving system-wide efficiency gains. Looking ahead, emerging technologies like hydrogen storage and vehicle-to-grid will further unlock flexibility potential of future power systems.
The topics of this special session are including but not limited to the following directions:
1) Quantitative mechanisms for dynamic characteristics and response capabilities of flexible resources
2) Security access mechanisms for terminals and privacy data protection principles
3) Hierarchical interaction and distributed trusted transaction mechanisms
4) Cloud-edge cooperative scheduling and distributed control mechanisms
5) Communication resource scheduling and security protection technologies for virtual power plants
6) Hierarchical market mechanisms and business interaction technologies for virtual power plants
7) Distributed cooperative interaction scheduling and operational control technologies for virtual power plants
8) Assessment and enhancement technologies for flexibility supply capabilities of distributed energy resources
9) Multi-resource collaborative configuration technologies for large-scale flexible resources
规模化灵活资源利用通过整合多样化的可调节资源，能够显著提升电力系统的经济性、可靠性和低碳化水平。灵活资源（如储能、需求响应、燃气机组）可快速响应风光出力的随机波动，减少弃风弃光，也可参与调频、调压、备用等市场，提升系统动态稳定性。分布式灵活资源（如用户侧储能）可削减峰值负荷，降低输配电扩容需求。加州研究表明，需求响应可减少5%~15%的峰值投资。灵活资源通过市场竞价优化调度顺序，减少高成本机组启停，同时，可在主网故障时快速恢复供电，缩短停电时间，实现区域功率自平衡，减轻主干网压力。规模化灵活资源利用通过“技术+市场+机制”协同，将传统“源随荷动”模式转变为“源荷互动”，实现电力系统运行效率的全局优化。未来随着氢储能、车网互动（V2G）等新技术成熟，灵活性潜力将进一步释放。
征稿方向：
1）灵活资源动态特性与响应能力量化机理
2）终端安全接入和隐私数据保护机理
3）分层互动与分布式可信交易机理
4）云-边协同调度及分布式控制机理
5）虚拟电厂通信资源调度与安全防护技术
6）虚拟电厂分层市场机制与商业互动运营技术
7）虚拟电厂分布式协同互动调度与运行控制技术
8）分布式能源灵活性供给能力评估及提升技术
9）规模化灵活资源多元协同优化配置技术
Jia Liu received the B.S. and Ph.D. degrees in electrical engineering from Tianjin University, Tianjin, China, and Shanghai Jiao Tong University, Shanghai, China, in 2014 and 2019, respectively. He was a post-doctoral in Zhejiang University, Hangzhou, China, and a visiting scholar in Cardiff University, Cardiff, U.K. He is currently an associate professor in Hangzhou Dianzi University, Hangzhou, China. His main research interests are planning, assessment and operation of power and energy systems, distributed optimization in transmission and distribution networks.
Zao Tang received the B.S. and Ph.D. degrees from the College of Electrical Engineering, Sichuan University, Chengdu, China, in 2016 and 2021, respectively. She was a Visiting Scholar with the Stevens Institute of Technology, Hoboken, NJ, USA, during 2019–2020. She is currently an associate professor with the Department of Automation, Hangzhou Dianzi University, Hangzhou, China. Her research interests include the optimal planning and operation of power systems.
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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