Track 35: Vehicle-to-Grid Interaction, Demand Response and Microgrid Optimal Operation Technologies for Transportation-Energy Integrated Systems Oriented Towards Low-Carbon Development 面向低碳发展的交能融合系统车网互动、需求响应与微电网优化运行技术
Organizers / 组织者
Qin Yan (Associate Professor)
颜勤(副教授)
Changsha University of Science and Technology / 长沙理工大学
Abstract / 摘要
English: Driven by the in-depth advancement of the "Dual Carbon" strategy and the construction of new power systems, the deep integration of transportation and energy and the low-carbon transition of energy systems have become core trends in industry development. As key technologies for activating user-side flexible resources, vehicle-to-grid (V2G) interaction and demand response can be widely applied in microgrids, active distribution networks, regional integrated energy systems, and many other scenarios, holding significant theoretical importance and engineering value in improving system operation efficiency, promoting renewable energy accommodation, and unlocking carbon emission reduction potential. Exploring the optimal operation pathways of multi-scale systems in transportation-energy integrated scenarios is an effective approach to driving energy systems toward efficient, low-carbon, safe, reliable, intelligent, and flexible development. Therefore, centering on themes such as V2G interaction mechanisms, demand response strategies, microgrid optimal operation, transportation-energy integrated system regulation, and low-carbon operation assessment, this track focuses on cutting-edge issues including vehicle-grid coordinated control, aggregation of diverse flexible resources, coordinated dispatch of photovoltaic-storage-charging systems, electricity-carbon joint modeling, quantification of carbon reduction benefits, applications of intelligent algorithms, and market operation mechanisms. It widely solicits related theoretical innovations, technological breakthroughs, and engineering practice achievements, aiming to provide effective solutions for promoting the deep integration of transportation and energy and supporting the low-carbon, high-quality development of power systems.
中文: 在"双碳"战略与新型电力系统建设的深度推进下,交通与能源深度融合、能源系统低碳转型已成为行业发展的核心趋势。车网互动与需求响应作为激活用户侧灵活资源的关键技术,可广泛应用于微电网、主动配电网、区域综合能源系统等多类场景,在提升系统运行效率、促进可再生能源消纳、挖掘碳减排潜力方面具有重要的理论意义与工程价值。探索交能融合场景下多尺度系统的优化运行路径,是推动能源系统向高效低碳、安全可靠、智能灵活方向发展的有效途径。因此,本分论坛围绕车网互动机制、需求响应策略、微电网优化运行、交能融合系统调控、低碳运行评估等主题,重点探讨车网协同控制、多元灵活资源聚合、光储充系统协同调度、电碳联合建模、碳减排效益量化、智能算法应用、市场运营机制等前沿问题,广泛征集相关理论创新、技术突破与工程实践成果,为推动交通与能源深度融合、助力电力系统低碳高质量发展提供有效解决方案。
Topics / 主题
- V2G/V2X interaction operating mechanisms and multi-scenario coordinated control strategies
- Power demand response modeling methods and regulation mechanisms for diverse flexible resources
- Microgrid optimal scheduling and energy management technologies considering transportation-energy integration
- Coordinated optimal operation of active distribution networks and vehicle-grid interaction resources
- Coordinated operation and flexible resource aggregation methods for photovoltaic-storage-charging integrated systems
- Electricity-carbon coupled modeling and system carbon emission reduction potential assessment methods
- Applications of artificial intelligence in transportation-energy integrated system dispatch and demand response
- Business models and operational mechanisms for vehicle-grid interaction under electricity and carbon market environments
- 车网互动(V2G/V2X)运行机理与多场景协同控制策略
- 电力需求响应建模方法与多元灵活资源调控机制
- 考虑交能融合的微电网优化调度与能量管理技术
- 主动配电网与车网互动资源的协同优化运行
- 光储充一体化系统协同运行与灵活资源聚合方法
- 电碳耦合建模与系统碳减排潜力评估方法
- 人工智能在交能融合系统调度与需求响应中的应用
- 电力与碳市场环境下车网互动的商业模式与运营机制
