Keynote Speakers
Prof. Qiang Yang
Zhejiang University, China
■ 浙江大学先进电气国际研究中心主任■ PCCC杭州分会秘书长■ 美国国家人工智能科学院院士■ 英国计算机学会会士■ IET Fellow
Bio: Qiang Yang (M’03-SM’18) received Ph.D. degree in Electronic Engineering and Computer Science from Queen Mary, University of London, London, U.K., in 2007 and worked in the Department of Electrical and Electronic Engineering at Imperial College London, U.K., from 2007 to 2010. He visited the University of British Columbia and the University of Victoria Canada as a visiting scholar in 2015 and 2016. He is currently a full Professor at the College of Electrical Engineering, Zhejiang University, China, and has published more than 380 technical papers, filed more than 100 national patents, co-authored 4 books, and edited 3 books and several book chapters. His research interests over the years include smart energy systems, large-scale complex network modeling, control and optimization, learning based optimization and control. He is an IEEE PCCC Distinguished Engineer, a Member of National Academy of Artificial Intelligence (MNAAI), a Fellow of the British Computer Society (FBCS), the Institution of Engineering and Technology (FIET), and International Association of Advanced Materials (FIAAM), a Senior Member of IEEE and a Distinguished Member of China Computer Federation (CCF).
Prof. Bo Wang
Wuhan University, China
■ 武汉大学智能电网研究院副院长■ IET Fellow
Speech Title: New Challenges in Data Modeling of Modern Smart Distribution Networks： From Standardization to Semanticization
Abstract: As modern distribution networks evolve toward greater intelligence and flexibility, traditional data modeling frameworks are struggling to accommodate the increasing complexity and heterogeneity of new integrated grid entities such as distributed energy resources, electric vehicles, and smart loads. This presentation explores the emerging challenges in power system data modeling—particularly the randomization, differentiation, fragmentation, and ambiguity of data across and within domains. It highlights the limitations of existing standards in supporting cross-domain interoperability and real-time integration of millions of intelligent edge devices.
To address these challenges, the talk introduces a suite of innovative technologies: a unified object model framework compatible with IEC standards and IoT protocols, active sensing and classification of new grid entities, lightweight self-registration and protocol translation mechanisms, semantic parsing of cross-domain business processes, and edge-to-edge collaboration empowered by domestically-developed intelligent terminals. Drawing inspiration from the Internet's plug-and-play paradigm, the presentation outlines a path toward a semantically-driven, interoperable, and resilient data ecosystem for the next-generation smart distribution grid.
Bio: Bo Wang is a Professor and the Chair of the Institute of Smart Grid at Wuhan University. He is a Fellow of the Institution of Engineering and Technology (IET), a Senior Member of the IEEE, and serves on the editorial boards of Protection and Control of Modern Power Systems (PCMP) and Power System Protection and Control. He also holds the position of Deputy Secretary-General of the IEEE Power & Energy Society (PES) China Technical Committee. Professor Wang’s research interests lie in the areas of distribution system digitalization and electrical safety. He has led multiple national-level research projects, including three funded by the National Natural Science Foundation of China (NSFC), two sub-projects under the National Key R&D Program, and one under the National Science and Technology Support Program. He has authored or co-authored more than 60 peer-reviewed papers as the first or corresponding author in leading international journals such as IEEE Transactions on Smart Grid and IEEE Transactions on Instrumentation and Measurement. Among his publications, one paper was awarded the First Prize for Outstanding Journal Papers by the Chinese Society for Electrical Engineering (CSEE) and recognized as a “Leading Paper” in the field.
To be announced soon......