As cities worldwide transform into smart urban environments, the demand for efficient, resilient, and sustainable energy solutions is becoming increasingly critical. Integrated energy systems (IES) are at the forefront of this transformation, combining various energy sources—such as electricity, heat, and gas—with advanced technologies to create more flexible and responsive energy networks. This panel session brings together leading experts to discuss the latest advancements in control and optimization for integrated energy systems within smart cities, focusing on strategies to enhance stability and resilience.
This panel session will begin by exploring the optimal operation of power systems in urban settings, where the integration of renewable energy sources presents both opportunities and challenges. Experts will discuss stability analysis and dynamic networks, emphasizing the advanced control strategies to ensure seamless operation against fluctuating energy demands and supply. Critical concerns will include power system stability and control, wide-area damping control systems and load modeling. Additionally, the discussion will delve into the role of voltage stability and control within integrated energy systems, particularly in the context of distributed energy resources, microgrids, and transactive energy. The panel will highlight how these systems enhance grid resilience, supporting the smart city's vision of sustainable urban development. Moreover, the application of optimization theory and artificial intelligence (AI) in these integrated systems will be a key focus, showcasing innovative approaches to improving energy management and system performance.
Overall, this panel session will explore the cutting-edge control and optimization strategies that are shaping the future of integrated energy systems in smart cities, including following topics:
Xinran Zhang received the B.S. degree and Ph.D. degrees in electrical engineering and automation from Tsinghua University, Beijing, China, in 2011 and 2016, respectively, both with honors. From 2016 to 2020, he was a Postdoctoral Fellow with the Department of Electrical and Electronic Engineering, The University of Hong Kong. Since 2021, he has been with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China, where he is currently an associate professor. He is selected for a national overseas high-level talent plan youth project and has hosted the Youth Project of NSFC. He is a review editor of Frontiers in Energy Research. His research interests include power system stability and control, wide-area damping control system, load modeling, and the application of artificial intelligence in power systems.
Jun Wang (Member, IEEE) received the B.E. and M.E. degrees in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2017 and 2019, respectively, and the Ph.D. degree in electrical engineering from the University of Hong Kong, Hong Kong, in 2024. She is currently with the Department of Electrical and Electronic Engineering, University of Hong Kong, as a Postdoctoral Fellow. Then, next January, she will be an assistant professor with the College of Smart Energy, Shanghai Jiao Tong University, Shanghai, China. Her research interests are in optimal operation in power systems, stability analysis, and dynamical networks.
Jiazuo Hou (Member, IEEE) received the B.E. degree from Zhejiang University, China, in 2016; M.E. degree from Huazhong University of Science and Technology, China, in 2019; and Ph.D. degree from The University of Hong Kong, Hong Kong SAR, in 2023. He was a visiting Ph.D. with Imperial College London. He is currently a Postdoctoral Research Fellow with the Department of Electrical and Computer Engineering, National University of Singapore, Singapore. His research interests include cyber-physical-social resilience, inverter-interfaced power system, and high-voltage direct-current power transmission.