Session 1: Optimal Operation, Flexibility, and Stability Analysis of Power Systems under Computing–Power Synergy “算电协同驱动下电力系统优化运行、灵活性提升与稳定性分析”
The rapid expansion of data centers is changing the load structure of power systems. Compared with conventional loads, computing loads are often spatially concentrated, time-adjustable, and subject to quality-of-service requirements. Their electricity demand can be shaped through workload migration, task scheduling, energy storage operation, cooling control, and on-site renewable use. The operation of these loads also depends on renewable output, electricity prices, network congestion, voltage limits, and supply reliability. When coordinated with renewable energy, energy storage, electric vehicles, and flexible demand resources, computing loads may reshape load profiles, power flows, voltage states, operating margins, and stability characteristics. This special session invites papers on power-system modeling, optimal and flexible operation, control, stability analysis, security assessment, resilience enhancement, uncertainty management, market mechanisms, and engineering applications in the context of computing–power synergy.
数据中心快速扩张正在改变电力系统负荷结构。与传统负荷相比,算力负荷具有集中接入、时段可调和服务质量约束并存的特点;其用电需求可通过任务迁移、任务调度、储能运行、冷却控制和本地新能源利用进行调节,也受新能源出力、电价信号、网络拥塞、电压限值和供电可靠性等条件制约。当算力负荷与新能源、储能、电动汽车和柔性需求资源协同运行时,将进一步改变电力系统负荷形态、潮流分布、电压状态、运行裕度和稳定特性。本专题征集算电协同背景下电力系统建模、优化与灵活运行、控制决策、稳定性分析、安全评估、韧性提升、不确定性管理、市场机制和工程应用等方面的研究成果。
Topics (Including but not limited to)
- 1. Computing–Power Synergy for Power System Operation | 算电协同支撑下的电力系统运行
- 2. Grid-Interactive Data Centers and Flexible Computing Loads | 电网友好型数据中心与柔性算力负荷
- 3. Workload Migration and Task Scheduling for Grid Support | 面向电网支撑的算力任务迁移与任务调度
- 4. Coordinated Operation of Computing Loads, Renewable Energy, and Energy Storage | 算力负荷、新能源与储能协同运行
- 5. Optimization and Control of Power Systems with Computing-Load Flexibility | 算力负荷柔性参与下的电力系统优化与控制
- 6. Stability, Security, and Reliability Assessment under Computing–Power Coupling | 算电耦合条件下的电力系统稳定性、安全性与可靠性评估
- 7. Resilience Enhancement and Uncertainty Management in Computing–Power Coordinated Systems | 算电协同系统韧性提升与不确定性管理
- 8. Market Mechanisms and AI-Assisted Decision-Making for Grid-Interactive Computing Resources
电网友好型算力资源的市场机制与人工智能辅助决策 - 9. Cyber–Physical Security, Testbeds, Demonstrations, and Engineering Applications for Computing–Power Synergy
算电协同中的信息物理安全、测试平台、示范验证与工程应用
Chair: Dr. Xin Wang, Zhejiang University, China
Xin Wang received the B.S. degree in Electrical Engineering from the College of Electrical Engineering, Chongqing University, Chongqing, China, in 2021, and the Ph.D. degree in Electrical Engineering from the College of Electrical Engineering, Zhejiang University, Hangzhou, China, in 2026. He was a visiting Ph.D. student with the Electric Power and Energy Systems Research Group, Department of Electrical and Computer Engineering, the University of British Columbia, Vancouver, Canada, from 2025 to 2026. His research interests include power system modeling and simulation, transient stability analysis, and the application of artificial intelligence in power systems.
Co-chair: Dr. Yue Pu, Zhejiang University, China
Yue Pu received the B.S. degree in Electrical Engineering from the College of Energy and Electrical Engineering, Hohai University, Nanjing, China, in 2018, and the Ph.D. degree in Electrical Engineering from the College of Electrical and Power Engineering, Hohai University, Nanjing, China, in 2025. She was a visiting Ph.D. student with AAU Energy, Department of Energy, Aalborg University, Aalborg, Denmark, from 2023 to 2024. Her research interests include power system optimization, integrated energy systems, transportation electrification, and energy–logistics coordination.
Co-chair: Dr. Zhihao Yang, Yangzhou University, China
Zhihao Yang received a B.S. degree in Electrical Engineering and Automation from Jiangsu University of Science and Technology, Zhangjiagang, China, in 2016, a M.S. degree and a Ph.D. degree in Power Systems and Automation and Electrical Engineering from Hohai University, Nanjing, China, in 2019 and 2023, respectively. He was a Research Student in the Department of Electrical & Computer Engineering at National University of Singapore from 2022 to 2023. He is currently a Lecturer in the College of Electrical, Energy and Power Engineering at Yangzhou University, Yangzhou, China. His research interests include demand response optimization considering new type loads such as computing power.
Critical Dates/重要日期
| Submission of Full Paper: | July 15th, 2026 |
| 投稿截止日: | 2026年7月15日 |
| Notification Deadline | August 15th, 2026 |
| 通知书发送: | 2026年8月15日 |
| Registration Deadline: | August 30th, 2026 |
| 注册截止日: | 2026年8月30日 |
Submission Guideline / 投稿指南
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2026 10th International Conference on Smart Grid and Smart Cities (ICSGSC)