The smart grid, a typical cyber-physical system, can provide a new paradigm to flexibly and intelligently integrate various participants that relate to power generation, transmission, distribution, and consumption. To a certain extent, the research of smart grids determines the future development direction of the electric power grid. In China, responding to the national mission goal of "Carbon Peak and Carbon Neutralization", smart grids can be an efficient way to solve energy security and environmental problems. However, smart grid needs effective power control and management to support the normal operation of this complex cyber-physical system.
As to the control of smart grids, various methods such as predictive control, resilient control, robust control, and hierarchical control have been used recently. They are common to be seen in the area of power electronics, power converters, and communication links based on the modelling and analysis of smart grid components. The involvement of renewable energy sources, energy storage systems, and plug-in electric vehicles are mostly based on power electronics, which can considerably complicate system dynamics and reduce system inertia. Thus, power management is also an importmant topic that usually considers various and multiple restricted conditions inside and outside smart grids. Therefore, the control and management need to be deeply developed for the further development of smart grids.
Besides, smart grid due to its cyber information property suffers from potential cyber-attacks such as data manipulation and false data injection. It is necessary to carry out the detection, defense, modelling, and analysis work for the cyber-attacks in smart grids. Thus to design appropriate control and operation measures to improve the system reliability, resilience, and efficiency. Uncertain renewable generations such as PV systems as well as load response of consumers have increased the difficulties for system planning and operation, which also deserves an in-depth investigation.
This special session aims to present the state-of-the-art research work on the advanced control and optimal management of cyber-physical smart grids. Topics of presentations and research papers include but are not limited to:
- Advanced Predictive Control/Resilient Control/Robust Control/Hierarchical Control of Smart Grids
- Optimal Power Flow Management/Economic Dispatch of AC/DC/Hybrid Smart Microgrids
- Modelling and Analysis of Cyber-Physical System of Renewable Energy Systems
- Distributed Event-Triggered/Consensus-Based Secondary Control of Microgrids
- Detection/Defense/Modelling/Analysis for Cyber-Attacks in Smart Grids
- Efficient Forecasting Methods for Renewable Power Generation/Residential Load Prediction
- Design and Control of Power Electronics/Power Converters/Communication Links of Smart Grids
- Development/Application of Artificial Intelligence Algorithms for Cyber-Physical Smart Grids
Huashan Liu received the B.E. degree in Mechanical Engineering from Wuhan University, Wuhan, China, in 2005, and the Ph.D. degree in Mechatronics from Zhejiang University, Hangzhou, China in 2010. Since 2010, he has been with the College of Information Science and Technology, Donghua University, Shanghai, China, where he is currently an Associate Professor and the Vice Dean. During 2015-2016 he was a Visiting Professor with the Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany. His current research interests include intelligent electrical systems, robotics, mechatronics and artificial intelligence.
Yinghao Shan received his PhD degree from the Department of Electrical Engineering, The Hong Kong Polytechnic University in Sep. 2020. Subsequently, he joined the College of Information Science and Technology, Donghua University, as a Lecturer. He has published more than 10 technical papers in the top-tier refereed journals, such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, IEEE Transactions on Power Electronics, and Renewable and Sustainable Energy Reviews. He has been one of the major participants in various scientific research projects, like the Science and Technology Commission of Shanghai Municipality, the Hong Kong Research Grant Council Projects, Hong Kong Innovation and Technology Fundings, and Guangdong-Hong Kong Breakthrough Project in Key Areas. He has a mix of scientific and industrial experience in the field of smart grids, predictive and intelligent controls. He is an active reviewer in more than 20 well-known international journals and conferences.