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Session 17: Carbon Awareness and Low-Carbon Dispatch for New Power Systems

“新型电力系统碳势感知与低碳调度”

Session 17

Carbon Awareness and Low-Carbon Dispatch for New Power Systems
“新型电力系统碳势感知与低碳调度”

Against the backdrop of the global carbon neutrality goal, the low-carbon transition of the power system, characterized by high penetration of renewables and multi-energy integration, has become a central mission in the energy sector. However, this transition faces several critical challenges: insufficient accuracy in carbon emission data undermines the effectiveness of low-carbon decision-making; a lack of coordination in dispatch across transmission, distribution, and microgrid levels restricts overall system efficiency; furthermore, the absence of synergistic mechanisms among technological innovation, resource utilization, and policy support hinders the decarbonization pace. This special session is thus organized to gather cutting-edge research addressing these issues. It will focus on key areas including foundational carbon data management, system-wide collaborative optimization, utilization of flexible resources, integration of advanced technologies, and the design of supportive policies and markets. The objective is to foster advancements in carbon awareness and low-carbon dispatch technologies for the new power system, thereby contributing to the achievement of global carbon neutrality.

Topics (Including but not limited to)  

  • 1. Electric carbon emission measurement, monitoring, and prediction; (电力碳排放量测、监测与预测)
  • 2. Electricity carbon emission tracing and accounting under the coupling of electricity, carbon, and renewable energy certificate markets; (电-碳-证耦合下的电力系统碳排放溯源与核算)
  • 3. Multi-level coordinated low-carbon optimal dispatch for transmission, distribution, and microgrid (主-配-微网多层级协同的低碳优化调度)
  • 4. Carbon emission reduction potential assessment, aggregated modeling, and low-carbon interaction of massive distributed flexible resources, e.g., EVs, energy storage; (电动汽车、储能等海量多元灵活性资源碳减排潜力评估、聚合建模及低碳互动)
  • 5. Low-carbon optimal dispatch of new power systems with source-network-load-storage-charging multi-energy prosumers; (源-网-荷-储-充多元产消者交互下的新型电力系统低碳优化调度)
  • 6. Application of advanced power generation and carbon capture, utilization, and storage (CCUS) technologies in energy conservation and emission reduction of new power systems; (先进发电与碳捕集利用封存技术在新型电力系统节能减排中的应用)
  • 7. Low-carbon operation and optimization of integrated energy systems; (综合能源系统低碳运行与优化)
  • 8. Policies and market mechanisms supporting the low-carbon transition and operation of new power systems. (支撑新型电力系统低碳转型/运行的政策与市场机制) 

Chair: Assoc. Prof. Xiaoshun Zhang, Northeastern University, China

Dr. Xiaoshun Zhang is an Associate Professor and Ph.D. Supervisor at the Foshan Graduate School of Innovation, Northeastern University. He serves as a member of the Youth Work Committee of the 8th Council of the China Electrotechnical Society, a member of the Artificial Intelligence and Electrical Applications Committee of the same society, member of the Guangdong Young Scientists Association. Additionally, he holds the position of Deputy Secretary General in both the Power Load Technology Subcommittee of the IEEE PES Smart Buildings, Loads, and Customer Systems Technical Committee (China) and the Intelligent Systems Technology Subcommittee of the IEEE PES Power System Analysis Methods Technical Committee (China). Prof. Zhang is also a member of the Guangdong Young Scientists Association.
His research interests include artificial intelligence and power grid dispatch and control, electric carbon measurement and applications, and generation control of renewable energy. From 2021 to 2025, he has been consecutively listed among the top 2% of scientists globally. From 2023 to 2024, he was recognized as a Highly Cited Chinese Researcher by Elsevier. He is an Associate Editor for the journal "Protection and Control of Modern Power Systems", and serves as a Youth Editorial Board Member for both "Energy Engineering" and "Smart Construction and Sustainable Cities" journals.

Co-chair: Dr. Xiang Gao, Shenzhen Polytechnic University, China

Xiang Gao received the Ph.D. degree in electrical engineering from The Hong Kong Polytechnic University, Hong Kong SAR, in 2021. Currently, she is with the Undergraduate Education College, Shenzhen Polytechnic University, Shenzhen, China. Her general research interests include applications of game theory and AI techniques on energy markets and power system optimization.

 

Co-chair: Mr. Yijun Chen, Northeastern University, China

Yijun Chen is a Ph.D. candidate at the Foshan Graduate School of Innovation, Northeastern University. His research interests focus on state estimation and dispatch control of new-type distribution network.

 

 

Call for Papers Timeline / 征稿时间

  • Submission of Full Paper: November 30th, 2025
    投稿截止日: 2025年11月30日 

  • Notification Deadline: December 30th, 2025
    通知书发送: 2025年12月30日 

  • Registration Deadline: January 20th, 2026
    注册截止日期: 2026年1月20日