1. Organizers:
Chair: Kai Hou, Tianjin University, No.92, Weijin Rd., Nankai Dist., Tianjin, China, khou@tju.edu.cn
Co-chairs: Zeyu Liu, Tianjin University, No.92, Weijin Rd., Nankai Dist., Tianjin, China, tjulzy@tju.edu.cn
2. Abstract:
With the rapid expansion of renewable energy integration, new power systems face unprecedented challenges due to increasing flexibility, complexity, and uncertainty. Operational optimization problems—including unit commitment, maintenance scheduling, optimal transmission switching, power system planning, and reliability assessment—are critical for achieving optimal resource allocation and ensuring system security and economic efficiency. The introduction of the "dual carbon" targets has raised higher requirements for optimization models and computational efficiency. This session will introduce recent advancements in related technologies.
3. Topics:
power system optimization
mixed-integer linear programming
artificial intelligence
4. Invited Speakers

杨知方 重庆大学 研究方向：电力系统优化、电力市场、人工智能和大数据

艾小猛 华中科技大学 研究方向：储能规划与市场模式、新能源特性分析与建模

蔺晨晖 清华大学 研究方向：电力系统运行调控、主动配电网、数据驱动/机器学习理论的应用

赵瑞锋 广东电力公司

杉树科技技术负责人

刘泽宇 天津大学