Hossam A. Gabbar
Director of Smart Energy Systems Lab, Ontario Tech University, Canada
Dr. Gabbar is a full Professor in the Department of Energy and Nuclear Engineering, Faculty of Engineering and Applied Science, at Ontario Tech University (UOIT), where he has established the Energy Safety and Control Lab (ESCL), Smart Energy Systems Lab, and Advanced Plasma Engineering Lab (APEL). He is the recipient of the Senior Research Excellence Aware for 2016, UOIT. He is recognized among the top 2% of worldwide scientists with high citation in the area of energy. He is a Distinguished Lecturer of IEEE NPSS. He is leading national and international research in the areas of smart energy grids, energy safety and control systems, and waste to energy using advanced plasma technologies. Dr. Gabbar obtained his B.Sc. degree in 1988 with first class of honor from the Faculty of Engineering, Alexandria University (Egypt). In 2001, he obtained his Ph.D. degree from Okayama University (Japan). From 2001 till 2004, he joined Tokyo Institute of Technology (Japan), as a research associate. From 2004 till 2008, he joined Okayama University (Japan) as an Associate Professor, in the Division of Industrial Innovation Sciences. From 2007 till 2008, he was a Visiting Professor at the University of Toronto. He also worked as process control, safety, and automation specialist in energy and oil & gas industries. Dr. Gabbar has more than 230 publications, including patents, books / chapters, journal and conference papers.
Speech Title: Transactive Mobility with Collaborative Simulation for Smart Energy Infrastructures
Abstract: Mobility is supported by transportation infrastructures based on energy networks to meet mobility demands. Transportation electrification enables mobility with more penetration of electric vehicles (EVs) and hydrogen-based fuel cell vehicles (HVs), besides internal combustion vehicles. The charging infrastructures should support mobility based on hybrid transportation technologies. The complex and expensive transition to transportation electrification infrastructures can be alleviated by implementing transactive mobility, which will provide cost management of different layers within the mobility services infrastructures. This talk presents an integrated framework and advanced approaches for transactive mobility in view of hybrid charging infrastructures. The interface between transactive energy and charging infrastructures will be modeled and formulated by the transactive mobility model.
Gou Haosong
Mobile Group Sichuan Co., Ltd., China
Dr. Gou Haosong is a professor and chief information technology expert of China Mobile Group Sichuan Co., Ltd., as well as a senior researcher of the postdoctoral Programme.
Dr. Gou has been focusing on network intelligentization. He hosted and participated in more than 10 major and key research and development projects which funded by the National and provincal Science Foundation, and China Mobile Group。He has been granted more than 20 national, provincial and other awards, obtained more than 30 patents, and published more than 30 papers in SCI, EI, and Chinese core journals.
Zhang Shiling
State Grid Chongqing Electric Power Company, China
As the first author, Zhang Shiling has published more than 90 SCI/EI search papers in the domestic and foreign journals and international academic conferences, 19 Chinese Core Journals of Peking University, won 9 provincial and ministerial awards such as the first prize of Chongqing scientific and technological progress and the special first prize of China Water Conservancy and power quality management Association, authorized 1 international invention patent, 20 national invention patents and utility models, 18 software copyrights, and more than 20 reports of international and domestic conferences, As the project leader, he presided over 2 provincial and ministerial projects at the basic frontier and 3 science and technology projects at the headquarters of State Grid Corporation of China.
Speech Title: Research and practice of the large-scale parallel computing and artificial intelligence algorithm in typical equipment of new power system
Abstract: Taking the converter transformer for UHV converter valve hall as the research object, this special speech discusses the construction process of its three-dimensional digital model from the insulation structure of the transformer body. Further, focusing on the outgoing device and bushing structure of converter transformer, this paper introduces the typical structure, the actual valve hall operation environment and the heating theoretical model of high-voltage power equipment under high harmonic load from the perspective of high-voltage power equipment operation, analyzes electro-thermal coupling nonlinear electric field of transformer outgoing device, and optimizes its insulation structure by using RBF neural network and NSGA-II multi-objective optimization algorithm. Focuses on the 3D construction of digital twin model in the outgoing area of converter transformer. Its research method can be extended to key components such as the converter body winding structure, oil paper insulation area and on the load switch. The research results of this paper can provide theoretical guidance and technical reference for the insulation structure design of the converter transformer body, especially for the structural design and operation maintenance of outlet device area, and can provide some theoretical guidance for the on-line analysis of short-term current carrying capacity and long-term aging performance of converter transformer outlet device area.