Coordinated Optimal Dispatch of Source-Grid-Load-Storage in Power Systems with High-Penetration Renewable Energy 高比例新能源电力系统的源网荷储协同优化调度
Chair / 主席: 苏一帆 Yifan Su, Associate Professor / 副教授, Chongqing University / 重庆大学
Co-Chairs / 共同主席: 桑林卫 Linwei Sang, Lecturer / 讲师, Southeast University / 东南大学 文艺林 Yilin Wen, Lecturer / 讲师, North China Electric Power University / 华北电力大学
Against the backdrop of profound transformation in energy structure, the configuration of power systems is undergoing significant changes: On the generation side, large-scale integration of renewable energy like wind and solar has substantially increased the volatility and randomness of power systems; On the load side, flexible loads such as electric vehicles demonstrate potential for bidirectional interaction with the grid. Traditional "generation following load" dispatch methods face severe challenges. This special session focuses on "optimal dispatch of power systems with high-penetration renewable energy", addressing key issues including aggregated control of distributed resources, supply-demand balance through source-load interaction, and AI-empowered optimal dispatch, aiming to promote the construction of a secure, economical and low-carbon new power system.
在能源结构深度变革的背景下，电力系统的形态正发生着显著变化：在电源侧，风光等新能源大规模接入，显著增强了电力系统的波动性与随机性；在负荷侧，电动汽车等灵活负荷广泛应用，展现出与电网双向互动的潜力。传统"源随荷动"的调度方法面临严峻挑战。本专栏以"高比例新能源电力系统的优化调度"为主题，聚焦分布式资源聚合调控、源荷互动的供需平衡、人工智能赋能优化调度等关键问题，旨在推动构建安全、经济、低碳的新型电力系统。
Including but not limited to the following directions: • Aggregated control of distributed resources (分布式资源聚合调控) • Supply-demand balance through source-load interaction (源荷互动的供需平衡) • AI-empowered optimal dispatch (人工智能赋能优化调度)
(To be confirmed / 可以后续补充) • 桑林卫 Linwei Sang (Southeast University / 东南大学) • 文艺林 Yilin Wen (North China Electric Power University / 华北电力大学)
