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TrackⅢ

Coordinated Operation and Intelligent Control of Low-carbon Integrated Energy Systems

低碳综合能源系统的协调运行与智能控制

Submission Deadline: October 10, 2026
   
Chair:  Co-chair:
Wenhao Jia Tao Ding
Xi’an Jiaotong University, China Xi’an Jiaotong University, China
 
Keywords:
  •  Integrated energy systems (综合能源系统)
  • Low-carbon operation (低碳运行)
  • Energy-carbon synergy (能-碳协同)
  • Electricity-hydrogen coupling (电-氢耦合)
  • Resilience enhancement (弹性提升)
  • AI-assisted decision-making (人工智能辅助决策)
 
Topics:
  • Multi-energy flow modeling and efficient simulation of integrated energy systems  (综合能源系统多能流建模与高效仿真)
  • Energy-carbon synergy analysis and optimization of integrated energy systems  (综合能源系统能-碳协同分析与优化)
  • Coupling and coordinated management of electricity, hydrogen, and heat systems  (电-氢-热系统耦合与协同优化管理)
  • Advanced optimization methods for low-carbon dispatch of integrated energy systems (面向综合能源系统低碳调度的先进优化方法)
  • Resilience enhancement strategies of integrated energy systems against extreme events (应对极端事件的综合能源系统弹性提升策略)
  • Integrated energy market mechanisms and policy support under high renewable penetration (高比例新能源接入的综合能源市场机制与政策支持)
  • AI-assisted intelligent control and decision-making methods for integrated energy systems (人工智能辅助的综合能源系统智能控制与决策方法)
 
Summary:
  • The large-scale integration of renewable energy sources has fundamentally transformed the structural and operational characteristics of energy systems. However, the strong coupling among multiple energy carriers, combined with growing uncertainties and extreme event threats, poses significant challenges to the secure, efficient, and low-carbon operation of integrated energy systems. This track is designed for researchers, engineers, and policymakers from universities, research institutes, energy utilities, and regulatory agencies. It aims to advance the state of the art in multi-energy flow simulation, carbon-aware dispatch, resilience enhancement, market design, and AI-driven control, thereby fostering cross-disciplinary collaboration and delivering actionable solutions for reliable and low-carbon operations of future integrated energy systems.
 
  • 高比例可再生能源接入深刻变革了能源系统的结构与运行特性,然而多能流强耦合、不确定性加剧及极端事件频发给综合能源系统的安全、高效与低碳运行带来严峻挑战。本单元面向高校、科研院所、能源企业与监管机构的科研人员、工程师及政策制定者,旨在推动多能流仿真、碳感知调度、弹性提升、市场机制设计及人工智能驱动控制等领域的技术突破,促进跨学科协作,形成面向未来综合能源系统可靠、低碳运行的系统性解决方案。