Emeritus Professor Archie Johnston
Affiliation: Tianjin University and The University of Sydney
Title: Innovation and Strategic Role of Smart Grid Technology
Abstract:
We need to shape our society and grasp significant opportunities as we tackle challenges of the 21st century and realise the potential of our best students and researchers who can help solve global problems.
Four Industrial Revolutions are suggested by Roser (2015): First…Mechanisation, Water power, Steam power. Second…Mass production, Assembly line, Electricity. Third…Computer and Automation. Fourth…Cyber Physical Systems and it includes; rapid advances in automation and data exchange in manufacturing technologies; cyber-physical (robotic) systems; the internet of things; nanotechnology; artificial intelligence; and cloud & cognitive computing.
We need to meet challenges and capture opportunities created by these rapid changes and channel the impacts of Disruptive Technologies on our society. We use new knowledge to inform curriculum and ensure that education programs provide the required skill sets needed for students and researchers to lead technology driven developments. Some of the major ten technologies that are referenced to Smart Grid applications include: Big data…systems for capturing, managing, analysing, sharing, and visualising the large and complex Smart Grid data sets. Cyber Security…Smart Grid systems. Networked Society…5G Smart Grid enabling technologies.
Leaders for the Fourth Industrial Revolution in the Smart Grid area require graduates and researchers with the ability to link deep technical and professional excellence with broad perspectives and the ability to thrive in a rapidly evolving technological world.
Bio:
Emeritus Professor Archie Johnston is a Fellow (Academician) of Australian Academy of Technological Sciences and Engineering, and an Honorary Fellow of Engineers Australia. He was: Dean of Engineering and Information Technologies at The University of Sydney. Advisory Professor of Shanghai Jiao Tong University. Fellow of the Australian Institute of Company Directors. Columnist on Innovation for the China Daily. In 2007 he was the Sir John Holland Civil Engineer of the Year and Entrepreneurial Educator of the Year of the Business and Higher Education Roundtable. He was President of the Australian Council of Engineering Deans. Current roles include: Non-Executive Director of Engineering Aid Australia and Lyons College. CEO and President of the Australian Institute of Technology and Commerce. Strategy Advisor to the President of Tianjin University. President of Australia High-Tech Industrialization Association. Chair of Board of Sydney Polytechnic Institute.
Title: Learning for the Future Power Grid
By Hongming Yang, Chenye Wu, and Sheng Xiang
Abstract:
Advanced learning frameworks are reshaping the landscape of power grid operation and the electricity market design. This talk shares two stories, both of which seek to use learning frameworks to enhance the future power grid. The first one investigates the storage control problem for consumers. Specifically, we consider that consumers face dynamic electricity prices and seek to use storage to reduce their electricity bills. The challenges come from the uncertainty in the electricity price and consumers’ demand. We propose a practical learning-based online storage control policy. The second story studies a classical procedure in the electricity market, the economic dispatch problem, i.e., matching the electricity supply and demand at the minimal generation cost. The critical challenge is again from the uncertainty in the system demand. Hence, the conventional approach is to conduct the dispatch based on predicted demand. However, we submit that this conventional approach can be suboptimal, and we propose a model-free algorithm for economic dispatch based on the end-to-end learning framework.
Bio of Speakers:
Hongming Yang is currently a Professor and the Acting Dean at the School of Electrical and Information Engineering, Changsha University of Science and Technology. Dr. Yang received her Ph.D. degree in Electrical Engineering from Huazhong University of Science and Technology. Her research interests span from power system analyses, optimizations, electricity markets, renewable generation, etc. Dr. Yang is the Yangtze River Scholar Professor, and she has received many research rewards, such as the National Science and Technology Progress Awards, the Hunan Science and Technology Progress Awards, etc. She has published over 100 research articles in top journals and leading conferences.
Chenye Wu is currently an Assistant Professor and the presidential young fellow at the School of Science and Engineering, the Chinese University of Hong Kong, Shenzhen. Dr. Wu received his Ph.D. degree in computer science and engineering from Tsinghua University in 2013, advised by Prof. Andrew Yao, the Turing Award Laurant. Dr. Wu’s research interests span from power system control to the electricity market design, emphasizing the emerging business model design for the energy sector, the market power analysis for the electricity market, the AI-driven power system control and operation. He has published over 80 research articles in top journals and leading conferences. He is a member of the FinTech special interest group, China Society for Industrial and Applied Mathematics, and a member of the special interest group, China Energy Society.
Sheng Xiang is currently a lecturer at the School of Electrical and Information Engineering, Changsha University of Science and Technology. Dr. Xiang received his Ph.D. degree in Electrical Engineering from the University of New Brunswick, advised by Prof. Liuchen Chang, Fellow of the Canadian Academy of Engineering. His research interests span from power system analyses, optimizations, electricity markets, renewable generation, etc. Dr. Xiang has published over 10 research articles in top journals and leading conferences.