Session 8: Land-Constrained Power–Computing Synergy for the Energy Transition: Planning, Flexible Operation, and Resilience “面向能源转型的土地约束下算电协同：规划、灵活运行与韧性”
Data centers and AI workloads are expanding rapidly, but their growth is constrained by where renewable generation, transmission corridors, cooling infrastructure, and suitable land can be developed. This special session examines power–computing synergized operation under explicit land constraints. It brings together models and applications for joint siting and planning, workload migration, renewable–storage coordination, flexible computing demand, network-aware dispatch, carbon and market signals, and resilience assessment. The session asks how computing services can support the energy transition without shifting burdens to land or grids, and seeks reproducible methods that connect spatial planning with 8,760-hour power-system operation.
数据中心和人工智能工作负荷正在快速增长，但其发展受到可再生能源、输电走廊、冷却基础设施及适宜建设土地空间分布的约束。本专题聚焦显式土地约束下的算电协同运行，涵盖新能源与算力设施协同选址和规划、算力任务迁移、可再生能源—储能协同、柔性算力需求、考虑电网约束的调度、碳排放与市场机制，以及系统韧性评估等方向。专题旨在探讨如何在不转移土地和电网负担的前提下，以算力服务支撑能源转型。
The session fits the following ICSGSC research topics:
- Land-Constrained Wind and Solar Resource Development, Siting, and Spatial Optimization for Power–Computing Synergy 面向算电协同的土地约束下风光资源开发、选址与空间优化
- Application of large language models (LLMs) and foundation models in power systems 大模型（LLM）与基础模型在电力系统中的应用探索
- Coordinated Operation of Computing Loads, Renewable Energy, and Energy Storage 算力负荷、新能源与储能协同运行
- 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
- Stability, Security, Reliability, and Resilience under Computing–Power Coupling 算电耦合条件下的电力系统稳定性、安全性、可靠性与韧性
- Market Mechanisms and AI-Assisted Decision-Making 市场机制与人工智能辅助决策
- Testbeds, Demonstrations, and Engineering Applications 算电协同中的测试平台、示范验证与工程应用
Chair: Dr. Wenyi Zhang, The Hong Kong Polytechnic University, Hong Kong, China
Wenyi Zhang received the B.E. degree in automation from Huazhong University of Science and Technology, Wuhan, China, in 2014, the M.S. degree in control theory and control engineering from Huazhong University of Science and Technology, Wuhan, China, in 2017, and the Ph.D. degree in electrical engineering from the Tsinghua University, Beijing, China, in 2022. He is currently a Postdoctoral Fellow with the Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China. His research interests include smart grid, shared energy storage, AI for Energy, game theory, data center.
Co-chair: Mr. Xudong Li, The Hong Kong Polytechnic University, Hong Kong, China
Xudong Li received the B.Sc. and M.Sc. degrees in hydraulic engineering from Wuhan University, China, in 2021 and 2024, respectively. He is currently a PhD candidate with the Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University. He was a visiting PhD student in the National University of Singapore (2026) and Peking University (2025). His research interests include clean energy transition, power system forecasting and optimization, and power system-data center cooperative operation.
Critical Dates/重要日期
| Submission of Full Paper: | November 5th, 2026 |
| 投稿截止日： | 2026年11月5日 |
| Notification Deadline | November 15th, 2026 |
| 通知书发送： | 2026年11月15日 |
| Registration Deadline: | November 22nd, 2026 |
| 注册截止日： | 2026年11月22日 |
Submission Guideline / 投稿指南
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2026 10th International Conference on Smart Grid and Smart Cities (ICSGSC)