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 on 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 can be commonly 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 is mostly based on power electronics, which can considerably complicate system dynamics and reduce system inertia. Thus, power management is also an important topic that usually considers various and multiple restricted conditions inside and outside smart grids. Therefore, the operation, control, and management need to be deeply developed for the further development of smart grids.
Besides, the 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 cyber-attacks in smart grids. Thus appropriate control and operation measures need to be designed to improve the system reliability, resilience, and efficiency. Uncertain renewable generations such as wind power systems and photovoltaic systems as well as the 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 Grids
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 Ph.D. degree from the Department of Electrical Engineering, The Hong Kong Polytechnic University in 2020. Subsequently, he joined the College of Information Science and Technology, Donghua University, as a Lecturer. His research interests consist of microgrids, power conversion, and MPC. He is a special issue guest editor of Applied Sciences on topics: “Microgrid and Smart Grid: Latest Advances and Prospects”. He is an active reviewer in more than 40 well-known international journals and conferences.
Jie Xing received the B.S. and M.S. degrees in Electrical Engineering from Shandong University, Ji’nan, China, in 2003 and 2006. She received the Ph.D. degree in Electrical Engineering from Shanghai Jiao Tong University, Shanghai, China, in 2010. From 2010 to 2018, she was a Senior Engineer in Shanghai Electric Power Design Institute Co., Ltd. Since 2019, she has been an Associate Professor with the College of Information Science and Technology, Donghua University, Shanghai, China. Her research interests include intelligent electrical systems, stability and control of power system, and renewable energy integration.