Keynote Speaker I

 

Prof. Wenchuan Wu
Tsinghua University, China

 

Bio: He is a tenured professor at the Department of Electrical Engineering, Tsinghua University, an IEEE/IET Fellow, and a Fellow of the Chinese Society for Electrical Engineering (CSEE). He is a recipient of the National Science Fund for Distinguished Young Scholars and the National "Ten Thousand Talents Program" (Leading Talent in Science and Technology Innovation), and serves as the principal investigator for projects under the National Key R&D Program. His honors include the Outstanding Contribution Award for Electric Power Science and Technology, the inaugural Outstanding Young Engineer Award of the CSEE, selection for the Ministry of Education's "New Century Excellent Talents" program, and the "Electrical Industry-Chint Technology Award" for scientific achievements. He proposed methodologies for the optimization and model-free control of renewable energy clusters, adaptive grid-forming technologies for renewable energy and energy storage, uncertainty-aware scheduling methods based on adaptive interval robust optimization and stochastic optimization, and a series of algorithms for the decomposition and coordinated scheduling of multi-region, multi-level power grids. He led the development of control and optimization scheduling systems for renewable energy clusters—deployed across multiple provincial grids—and implemented the first joint optimization and control project integrating a large-scale urban heating network with the power system. He established a methodological framework for the analysis and optimization of active distribution networks based on loop analysis, convex relaxation, distributed optimization, and stochastic robust optimization theories; the resulting systems for active distribution network operation control and reliability planning have seen large-scale application. He developed an FDNE-based real-time hybrid simulation platform for electromechanical-electromagnetic transients, enhancing the simulation accuracy of AC/DC hybrid power grids. As the technical lead, he developed China's first field-deployed online dynamic security early-warning system and a wide-area distributed Dispatcher Training Simulator (DTS) for multiple control centers. He was elected an IEEE Fellow for his contributions to power system energy management and operational control. He has published over 700 papers indexed by SCI/EI—including 187 SCI papers (with 119 in IEEE Transactions)—garnering over 20,000 citations on Google Scholar. He holds more than 200 Chinese invention patents and over 21 US invention patents, and has authored or co-authored four books. His awards include one National Science and Technology Progress Award (First Class, 4th contributor), one National Technological Invention Award (Second Class, 3rd contributor), one Electric Power Innovation Grand Prize (1st contributor), eight provincial/ministerial-level First Class Awards (four as 1st contributor), and two Gold Medals at the Geneva International Exhibition of Inventions. Among the doctoral students supervised, one was named a "Tsinghua University Academic Rising Star" (an honor awarded to only ten students university-wide), one received the Ministry of Education's "Academic Newcomer Award" and was recognized as an "Outstanding Doctoral Graduate of Beijing," and several won the "Tsinghua University Outstanding Doctoral Dissertation Award"; the majority of the doctoral students received the National Scholarship.
简介：清华大学电机系长聘教授、IEEE/ IET Fellow、中国电机工程学会会士。国家杰出青年科学基金获得者、国家“万人计划”科技创新领军人才，国家重点研发计划项目负责人，曾获中国电力科学技术杰出贡献奖，首届中国电机工程杰出青年工程师奖，入选教育部新世纪优秀人才计划，获“电工行业-正泰科技奖”科技成就奖。提出了新能源集群优化与无模型控制，新能源及储能的自适应构网技术，自适应区间鲁棒优化和随机优化的不确定性优化调度方法，以及多区域、多层级电网分解协调调度系列算法，主持研发了新能源集群控制与优化调度系统，在多个省级电网应用，并实现了首个大型城市供热网与电力系统的联合优化调控工程。提出了基于回路分析、凸松弛技术、分布式优化以及随机鲁棒优化理论的主动配电网分析与优化方法体系，研发的主动配电网运行调控与可靠性规划系统并得到规模化应用。研发了基于FDNE的机电-电磁暂态实时混合仿真平台，提高了交直流混联电网的仿真精度。作为技术负责人开发了国内首套现场应用的在线动态安全预警系统、多调控中心广域分布式DTS。由于在（电力系统）能量管理与运行控制方面的贡献入选IEEE Fellow。发表SCI/EI 收录论文700余篇，其中SCI 论文187篇（IEEE 汇刊论文119篇），Google Scholar 被引2万多次，授权中国发明专利200余项, 美国发明专利21余项，主编和合著4本。获得国家科学科技进步一等奖1项（第4），技术发明奖二等奖1项（第3），电力创新大奖1项（第1），省部级一等奖8项（4项第1），日内瓦国际发明金奖2项。指导的博士生1人获清华大学学术新秀(全校10名)、1人获教育部学术新人奖和北京市优秀博士毕业生，多人获清华大学优秀博士论文奖，大部分博士生获得国家奖学金。

 

Prof. Canbing Li
Shanghai Jiao Tong University, China

Bio: Li Canbing (male, Ph.D.) is a tenured professor and doctoral supervisor. Born in Yiyang, Hunan Province, in February 1979, he is a Fellow of the Institution of Engineering and Technology (IET) and a Changjiang Scholar. He currently serves as the Vice Dean of the School of Electrical Engineering at Shanghai Jiao Tong University (since April 2025). He has been selected for the Ministry of Education’s "Program for New Century Excellent Talents" and is a recipient of the Hunan Provincial Science Fund for Distinguished Young Scholars and the National Science Fund for Excellent Young Scholars. He received his bachelor’s degree in 2001 and his Ph.D. in 2006—obtained through a combined master’s-doctoral program—from the Department of Electrical Engineering at Tsinghua University. From August 2013 to August 2014, he was a visiting scholar at Michigan State University. His research primarily focuses on grid-scale energy storage and power system analysis and control. Additionally, his work encompasses power-related meteorology, meteorological risk mitigation, transient processes in power-electronics-dominated power systems, and the application of artificial intelligence in power systems.
简介：黎灿兵，男，博士，长聘教授，博士生导师，1979年2月出生于湖南益阳。英国工程技术学会会士，长江学者。现任上海交通大学电气工程学院副院长（2025年4月至今），教育部“新世纪优秀人才支持计划”入选者，湖南省杰出青年基金获得者，国家优秀青年科学基金获得者。 2001年在清华大学电机工程与应用电子技术系获学士学位，2006年在清华大学电机工程与应用电子技术系硕博连读获博士学位。 2013年8月至2014年8月在美国密歇根州立大学担任访问学者。主要从事电网级储能、电力系统分析与控制研究工作，此外，研究还涉及电力气象、气象风险防御，以及电力电子化电力系统暂态过程和人工智能在电力系统中的应用。