AI-Driven Multi-Source Load Resource Perception, Flexibility Enhancement, and Virtual Power Plant Coordination Mechanisms 智能驱动的多源负荷资源感知、灵活性提升与虚拟电厂协同机制
Chair / 主席: Zhao Yao, Shanghai Jiao Tong University / 赵耀 上海交通大学
Co-Chairs / 共同主席: Du Puliang, Shanghai University of Electric Power / 杜璞良 上海电力大学 Yang Shaohua, University of Macau / 杨少华 澳门大学
This forum focuses on cutting-edge research and engineering practices of artificial intelligence and advanced optimization technologies in multi-source load resource perception, flexibility enhancement, and virtual power plant coordination. It emphasizes the application of AI, machine learning, and hybrid augmented intelligence methods for high-precision perception and response potential evaluation of various load resources (industrial, commercial, and residential), and their effective aggregation into virtual power plants to achieve multi-timescale scheduling optimization and market coordination. The forum will address data-driven demand response prediction, flexible resource allocation strategies, and the flexible operation and risk prevention mechanisms of virtual power plants with high penetration of renewable energy, aiming to promote innovation and application of intelligent load management and virtual power plant coordination mechanisms.
本专题聚焦人工智能及先进优化技术在多源负荷资源感知、灵活性提升与虚拟电厂协同运行中的前沿研究与工程实践。重点探讨如何利用人工智能、机器学习和混合增强智能方法,对工业、商业及居民等多类负荷资源进行高精度感知与响应潜力评估,并将其有效聚合至虚拟电厂,实现多时间尺度的调度优化与市场协同。专题关注多源异构数据驱动的需求响应预测、灵活性资源配置策略,以及高比例可再生能源接入下的虚拟电厂灵活运行与风险防控机制,旨在推动智能化负荷管理与虚拟电厂协同机制的创新与应用。
1. 人工智能与机器学习在多源负荷资源感知与潜力评估中的应用 / Application of AI and machine learning in multi-source load resource perception and potential assessment 2. 混合增强智能在负荷侧资源管理与优化中的方法与实践 / Methods and practices of hybrid augmented intelligence in load-side resource management and optimization 3. 虚拟电厂多时间尺度调度优化与市场协同运行策略 / Multi-timescale scheduling optimization and market coordination strategies for virtual power plants 4. 多源异构数据驱动的需求响应预测与灵活性资源优化配置 / Data-driven demand response prediction and flexible resource optimization configuration 5. 融合专家知识与算法优化的虚拟电厂调度与控制技术 / Virtual power plant dispatch and control technologies combining expert knowledge and algorithm optimization 6. 高比例可再生能源接入下的虚拟电厂灵活性提升与运行机制 / Flexibility enhancement and operation mechanisms of virtual power plants with high renewable energy penetration 7. 负荷侧资源与分布式能源、储能系统的协同优化运行模式 / Coordinated optimization operation modes of load-side resources with distributed energy and energy storage systems 8. 极端运行工况下的负荷响应与电网风险防控策略 / Load response and grid risk prevention strategies under extreme operating conditions