Special Session 12
Advanced Energy Management, Optimization, and Resilient Control of Renewable Energy Systems under Cyber-Physical Challenges
The rapid penetration of renewable energy, the proliferation of distributed generation, and the increasing electrification of transportation are transforming modern power systems into highly complex and dynamic networks. Effective energy management has become essential to ensure optimal scheduling, stability, and reliability of such systems, particularly under uncertain demand, volatile renewable generation, and cyber-physical risks. This Special Issue seeks original contributions on advanced methodologies and practical solutions for the modeling, optimization, and resilient management of renewable energy systems. Emphasis will be placed on innovative energy management frameworks that integrate control, optimization, artificial intelligence, and cyber-physical security to achieve sustainable, reliable, and secure operation of future power grids. Suggested topics include, but are not limited to:1. Smart energy management systems for renewable-rich grids and microgrids
2. Distributed and cooperative optimization for multi-energy systems
3. Model predictive control and AI-driven scheduling for energy management
4. Energy aggregation and management of electric vehicles and vehicle-to-grid (V2G) technologies
5. Resilient and fault-tolerant energy management under communication and sensor failures
6. Cyber-physical security in energy management: intrusion detection, false data defense, and risk assessment
Chairs:
Dr. Zhijian Hu, CNRS, France
Dr. Zhijian Hu is currently a Marie Sklodowska-Curie Postdoctoral Fellow with the LAAS-CNRS, France. He received the Ph. D. degree in Control Science and Engineering from Harbin Institute of Technology, Harbin, China, in 2022. From March 2022 to November 2023, he was a Research Fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research focuses on resiliency and security control and the applications in cyber physical energy systems. He serves as an Associate Editor of IEEE Transactions on Industry Applications, IEEE Industry Applications Magazine, and IET Renewable Power Generation.
Assoc. Prof. Heling Yuan, Dalian University of Technology, China
Heling Yuan received the B.E. from North China Electric Power University, China, and M.S. degrees from the University of Manchester, Manchester, UK, in 2016 and 2017, respectively, and the Ph.D. degree from Nanyang Technological University, Singapore, in 2022. From 2022 to 2025, she was a research fellow at NTU Rolls-Royce Corp Lab and then, was with the School of Electrical and Electronic Engineering, Nanyang Technological University. She is currently served as an associate professor at Dalian University Technology, China. Her research interests include power system stability and operation, onshore and shipboard operation and energy management.
Prof. Xin Zhao, Anhui University of Finance & Economics, China
Dr. Xin Zhao currently works as a professor at Anhui University of Finance and Economics. In recent years, he has been engaged in studying and researching greenhouse gas emission reduction, energy economics, and natural resources management. He has published more than 100 papers in some of the top-notch journals, such as Journal of International Money and Finance, IEEE Transactions on Engineering Management, Technological Forecasting and Social Change, Applied Energy, Energy Economics, Energy and Buildings, among others. More than 20 papers are listed as ESI Highly Cited Papers and ESI Hot Papers. He has also received research projects from the National Natural Science Foundation of China, the Ministry of Education of the People's Republic of China Humanities and Social Sciences Foundation and so on. He has published 3 monographs. He also serves as the Associate editor of Gondwana Research and some other Journals. He was included in 2023, 2024 and 2025’s ranking of the World’s Top 2% scientists list published by Stanford University and Elsevier, and selected as the Most Cited Chinese Researchers in 2023 and 2024 by Elsevier.
Assist. Prof. Daogui Tang, Wuhan University of Technology, China
Daogui Tang is an Assistant Professor at the School of Transportation and Logistics Engineering, Wuhan University of Technology. He obtained his Ph.D. in Computer Science from University Paris-Saclay in France and was a joint postdoctoral researcher at Zhejiang Seaport Group and Wuhan University of Technology, focusing on port multi-energy integration technologies. His research interests include the design and optimization of integrated energy systems, as well as the cybersecurity and resilience enhancement of smart grids, leveraging optimization, machine learning, and reinforcement learning technologies.
Assoc. Prof. Junyi Zhai, China University of Petroleum (East China), China
Dr. Junyi Zhai is an Associate Professor at the School of New Energy, China University of Petroleum (East China). He is also a Senior Engineer at State Grid Corporation of China. His research focuses on the operation and control of power systems, electricity markets, and integrated energy systems, as well as the application of machine learning in power systems. Dr. Zhai has led over 10 projects, including the National Natural Science Foundation of China (NSFC), the sub-project of National Science and Technology Major Project of China, the Natural Science Foundation of Shandong Province, the Natural Science Foundation of Jiangsu Province, and the State Grid Science and Technology Project, etc. Dr. Zhai also served as a principal researcher on the National Key R&D Program, the Major project of National Natural Science Foundation, and the UK Prosperity Fund. Dr. Zhai has published over 50 SCI/EI-indexed papers, including more than 30 first-authored/corresponding-authored JCR Q1 journal articles. Dr. Zhai serves as the Guest Editor for Sustainability, Energies, and Processes journals. He also acts as reviewer for many SCI journals, including EJOR, MATTOD, TPWRS, TSG, TSTE, APEN, ECM, TNSE, ESWA, EGY, JRES, IJHE, CEP, MPCE, JCLP, CAIE、RESS, PCMP, EST, SETA, ISJ, IJEPES, and EPSR.