| Chair: |
Co-chairs: |
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| Yiwen Huang |
Yiyao Zhou |
Ziqing Guo |
| Nanyang Technological University, Singapore |
Xihua University, China |
Shanghai Jiao Tong University, China |
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| Keywords: |
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- Energy Storage Systems (储能系统)
- Emerging Power Systems (新型电力系统)
- Renewable Energy Integration (新能源消纳)
- Grid Flexibility (电网灵活性)
- Power System Optimization (电力系统优化)
- Distribution Networks and Microgrids (配电网与微电网)
- Storage Planning and Scheduling (储能规划与调度)
- Electricity Markets (电力市场)
- Secure Operation (安全运行)
- Low-carbon Energy Systems (低碳能源系统)
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| Topics: |
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- Modeling, planning, and sizing of energy storage systems in emerging power systems
(储能系统在新型电力系统中的建模、规划与容量配置)
- Optimal scheduling and coordinated control of storage for high renewable energy penetration
(面向高比例新能源接入的储能优化调度与协同控制)
- Energy storage for frequency regulation, voltage support, reserve provision, and secure grid operation
(储能参与频率调节、电压支撑、备用服务与电网安全运行)
- Energy management of storage in distribution networks, microgrids, and industrial energy systems
(配电网、微电网、园区能源系统中的储能运行与能量管理)
- Coordinated operation of hybrid storage technologies, including battery, hydrogen, thermal, and mechanical storage
(多类型储能系统的协同优化，包括电化学储能、氢储能、热储能、机械储能等)
- Degradation-aware modeling, safety-constrained operation, and economic assessment of storage systems
(储能寿命退化建模、安全约束运行与经济性评估)
- Energy storage participation in electricity markets, ancillary service markets, and virtual power plants
(储能参与电力市场、辅助服务市场与虚拟电厂运行机制)
- Storage planning and operation for resilient power grids and post-disaster restoration
(面向韧性电网的储能配置与灾后恢复策略)
- Artificial intelligence, reinforcement learning, and data-driven methods for storage scheduling
(人工智能、强化学习与数据驱动方法在储能调度中的应用)
- Coordination of energy storage with electric vehicles, shore power systems, industrial loads, and building energy systems
(储能与电动汽车、港口岸电、工业负荷、建筑能源系统的协同运行)
- Low-carbon benefits, life-cycle assessment, and environmental impacts of storage deployment
(储能系统的低碳效益、生命周期评估与环境影响分析)
- Grid integration technologies, power electronic interfaces, and multi-timescale control of storage systems
(储能并网技术、电力电子接口与多时间尺度控制方法)
- Policy, business models, and demonstration projects for storage under carbon-neutrality targets
(面向碳中和目标的储能政策、商业模式与工程示范)
- Optimization and reliability assessment of source-grid-load-storage integrated systems
(源网荷储一体化系统的优化运行与可靠性评估)
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| Summary: |
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- With the increasing penetration of wind and solar generation, modern power systems are facing higher uncertainty, stronger variability, and more demanding multi-timescale flexibility requirements. Energy storage systems are becoming critical grid-interactive resources that can support renewable energy integration, peak shaving, frequency regulation, voltage support, reserve provision, microgrid operation, and electricity market participation. At the same time, large-scale deployment of energy storage introduces new challenges in system planning, operational optimization, degradation modeling, safety management, economic assessment, and environmental impact evaluation.
This track aims to provide a focused forum for recent advances in energy storage and grid-support technologies for emerging low-carbon power systems. The session welcomes original contributions on modeling, planning, control, optimization, and practical applications of energy storage systems in transmission networks, distribution networks, microgrids, integrated energy systems, and electricity markets. It seeks to promote interdisciplinary discussions across power systems, energy engineering, control and optimization, artificial intelligence, power electronics, market design, and sustainable energy systems.
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- 随着风电、光伏等可再生能源的大规模接入，电力系统运行面临更强的不确定性、波动性和多时间尺度调节需求。储能系统作为连接源、网、荷多侧资源的关键灵活性资源，可在新能源消纳、削峰填谷、频率调节、电压支撑、备用容量、微电网自治运行以及电力市场交易等方面发挥重要作用。同时，储能的大规模部署也带来了系统规划、运行优化、寿命退化建模、安全管理、经济性评估以及环境影响分析等新的研究问题。
本特别分会拟围绕“储能与电网协同运行”展开交流，重点关注储能在新型电力系统中的建模、规划、控制、优化与工程应用。分会欢迎来自电力系统、能源工程、控制优化、人工智能、微电网、电力电子、能源市场及低碳能源系统等方向的原创研究，促进储能技术与电网运行需求之间的交叉融合。
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