Special Session 3

Session 3: Greening the Last Mile: Advanced Strategies and Technologies for Low-Carbon Operation, Dispatch, and Control of Distribution Networks “赋绿最后一公里:配电网低碳运行、调度与控制的先进策略与技术”

Driven by the dual imperatives of global carbon neutrality goals and energy transition, as the "last mile" of electricity supply, distribution networks play a pivotal role in constructing new-type power systems and achieving low-carbon objectives. With the widespread integration of distributed energy resources and growing user demand for low-carbon electricity, the operation, dispatch, and control of distribution networks face unprecedented challenges and opportunities. Specifically, the strong stochasticity of high penetration distributed photovoltaic and wind power, spatiotemporal fluctuations from large-scale electric vehicle charging loads, and complex interactions among diverse prosumers collectively transform the traditionally passive operational paradigm of distribution networks. Consequently, conventional management approaches fall short of meeting requirements for decarbonization, intelligence, and efficiency, necessitating innovative strategies and technologies to advance green transformation.
In the operational dimension, breakthroughs are required in dynamic carbon-constraint modeling for highly volatile scenarios. This addresses the multi-objective trade-offs among low-carbon operation, voltage stability, line congestion mitigation, and loss minimization, establishing a theoretical foundation for decarbonized distribution networks. In the dispatch dimension, a multi-timescale coordinated carbon-aware dispatch framework must be developed. This optimizes the carbon-intensity linkage across day-ahead dispatching, intraday rolling dispatching, and real-time correction, enhancing the flexibility and low-carbon attributes of distribution system dispatch. In the control dimension, rapid-response distributed resource cluster control technologies should be advanced. Leveraging edge-based intelligent measurement and control devices, these technologies will deliver precise control strategies for low-carbon operation.  
In the above-mentioned background, this Special Session focuses on cutting-edge technologies and innovative strategies for low-carbon operation, dispatch, and control of distribution networks. Through scholarly discourse, it addresses the aforementioned challenges to provide theoretical and technical support for "Greening the Last Mile," thereby accelerating the green transition of distribution networks. We cordially invite distinguished experts, researchers, engineers, and industry leaders in the global power systems community to actively participate in this Special Session. Together, we will advance the discourse on and exchange innovative research findings and practical experience in low-carbon operation, dispatch, and control of distribution network, thereby accelerating the green transition of power distribution networks and collectively contributing to the achievement of global carbon neutrality goals. 

在全球碳中和目标与能源转型的双重驱动下,配电网作为电力供应的“最后一公里”,在构建新型电力系统和实现低碳目标中扮演着至关重要的角色。随着分布式能源资源的广泛接入和应用,以及用户对低碳电力需求的不断增长,配电网的运行、调度和控制面临着前所未有的挑战与机遇。具体而言,高渗透率分布式光伏与风电的强随机性、规模化电动汽车充电负荷的时空波动、多元产消者行为的复杂交互等共同颠覆了传统配电网被动承纳的运营模式。因此,传统的配电网管理模式已难以满足低碳化、智能化和高效化的要求,亟需创新的策略和技术来推动其绿色转型。
在运行维度,需突破高波动场景下的动态碳约束建模技术,解决低碳运行与电压稳定、线路阻塞、网损最小化等多目标博弈难题,为配电网的低碳运行提供坚实的理论基础。在调度维度,需开发多时间尺度协同的碳感知调度框架,实现日前计划、日内滚动与实时校正环节的碳强度联动优化,以提升配电网调度的灵活性和低碳性。在控制维度,需攻克快速响应的分布式资源群控技术,依托边缘智能量测与调控设备,为配电网低碳运行提供精准控制策略。
在上述背景下,本专题会议聚焦于配电网低碳运行、调度与控制的前沿关键技术与创新策略,通过会议研讨如何应对上述挑战,为实现“赋绿最后一公里”提供理论和技术支持,从而推动配电网的绿色转型。我们诚挚地邀请全球电力系统领域的专家学者、工程师、行业领袖参与本专题会议,共同探讨和分享配电网低碳运行、调度与控制方向的创新性研究成果和实践经验,推动配电网的绿色转型,为实现全球碳中和目标贡献力量。  

Topics (Including but not limited to)

  • Dynamic Carbon-Constraint Modeling and Multi-Objective Optimization for Distribution Network under High Volatility Scenarios
    高波动场景下配电网动态碳约束建模与多目标优化技术
  • Multi-Timescale Coordinated Carbon-Aware Dispatching for New-type Distribution Network
    多时间尺度协同的新型配电网碳感知调度方法
  • Cluster Scheduling and Control of Massive Distributed Energy Resources for Fast-Response Applications
    响应需求的海量分布式资源集群调度与控制技术
  • Low-Carbon Operation Coordination Mechanisms for Distribution Network with Prosumer Behavioral Dynamics
    多元产消者交互下的配电网低碳运行协调机制
  • Intelligent Technologies for Enabling Low-Carbon Distribution Network Operations
    智能化技术在配电网低碳运行中的应用
  • Virtual Power Plant-Enabled Low-Carbon Operational Methodologies for Distribution Network
    虚拟电厂技术支撑下的配电网低碳运行方法
  • Carbon Footprint Accounting and Low-Carbon Assessment Framework for New-type Distribution Network Incorporating Electricity-Carbon Market Mechanisms 考虑电碳交易的新型配电网碳足迹核算与低碳评价体系

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 2024, he has been consecutively listed among the top 2% of scientists globally. In 2023, 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: Mr. Yijun Chen, Northeastern University, China

 

Mr. Yijun Chen is a Ph.D. candidate at the Foshan Graduate School of Innovation, Northeastern University, who has published 20 SCI/EI journal papers. His research interests focus on new-type distribution network state estimation and dispatch control.


Critical Dates/重要日期

Submission of Full Paper:   September 15th, 2025  
投稿截止日:  2025年9月15日 
Notification Deadline  September 30th, 2025 
通知书发送:  2025年9月30日 
Registration Deadline:  October 15th, 2025 
注册截止日:  2025年10月15日  

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2025 the 9th International Conference on Smart Grid and Smart Cities (ICSGSC)