Special Session 16
Synergistic Operation, Optimization, and Health Management of Source-Grid-Load-Storage Systems
The transition toward low-carbon energy systems necessitates the seamless integration of Source-Grid-Load-Storage (SGLS) elements. However, the stochastic nature of renewables, the degradation characteristics of electrochemical devices, and the dynamic demands of electric loads pose significant challenges to system stability and efficiency. This Special Session focuses on the advanced control, health management, and synergistic optimization required to enhance the reliability of these complex systems. We aim to bridge the gap between critical component management, such as electrochemical storage and electric drives, and system-level operational strategies. By integrating equipment health status into system dispatch, we seek to explore novel pathways for efficient and secure energy utilization. Suggested topics include, but are not limited to:• Hydrogen and Power Sources: Fault diagnosis, prognostics, and health management (PHM) for hydrogen fuel cells and renewable generation units.
• Storage Lifecycle Management: State estimation, safety monitoring, and full-lifecycle management strategies for batteries and hybrid energy storage systems.
• System Optimization: Coordinated operation, planning, and resilience enhancement of Integrated Energy Systems (IES) and active distribution networks.
• Electric Drives and Loads: Advanced control strategies for permanent magnet motors and high-efficiency drive systems.
• Synergistic Control: Hierarchical control, AI-driven optimization, and multi-objective dispatch strategies for SGLS interactions.
Chairs:
Dr. Jingxuan Peng, Nanyang Technological University, Singapore
Dr. Jingxuan Peng is currently a Research Fellow at Nanyang Technological University (NTU), Singapore. He received his Ph.D. degree from Huazhong University of Science and Technology (HUST) in 2024 and his Bachelor’s degree from Sichuan University in 2018. His research interests lie at the intersection of control theory and energy systems, with a specific focus on the health management and advanced control of energy devices. His expertise focuses on Solid Oxide Fuel Cells (SOFC), particularly in the areas of fault diagnosis, prognostic health management (PHM), and system optimization.
Assoc. Prof. Chaoxian Lv, China University of Mining and Technology, China
Chaoxian Lv is an associate professor in the School of Electrical Engineering, China University of Mining and Technology. He received the B.S. and M.S degrees in electrical engineering from Hunan University, in 2011 and 2014, respectively, and received the Ph.D. degree with the School of Electrical and Information Engineering, Tianjin University. He is the Doctor of Innovation and Entrepreneurship from Jiangsu Province, outstanding young teacher of CUMT and deputy director of the institute of electrical safety and integrated energy. He hosts several projects including the national natural science foundation of China, the natural science foundation of Jiangsu province, and several projects commissioned by the power grid company. His current research interest includes the optimal operation and planning methods of integrated energy system and smart grid, and has published more than 30 academic papers, and authorized/applied for 15 patents.
Assist. Prof. Wenjun Zhu, Xi'an Jiaotong-Liverpool University, China
Wenjun Zhu obtained his Ph.D. in Electronic and Electrical Engineering from the University of Sheffield, UK, in 2025. Between 2016 and 2020, he worked in the automotive industry, Shanghai, China. Previously, he received the B.Eng. degree in electrical engineering and automation from the Beijing Institute of Technology, Beijing, China, in 2013, the M.S. degree in sustainable energy systems from The University of Edinburgh, Edinburgh, U.K., in 2015, and the M.Eng. degree in electrical engineering from the Beijing Institute of Technology in 2016. His research interests include modelling and analysis of permanent-magnet machines and motor drive systems. He is currently an Assistant Professor at Xi'an Jiaotong-Liverpool University in Suzhou, China.
Dr. Muyao Wu, Hefei University of Technology, China
Dr. Muyao Wu is currently a lecturer at Hefei University of Technology. He received his Ph.D. degree from University of Science and Technology (USTC) in 2022 and his Bachelor’s degree from Hunan University in 2017. He is a member of the System Simulation Professional Committee of the Chinese Association of Automation, a member of the Simulation Technology Application Professional Committee, a young editor of Batteries. His research focuses on intelligent management and control of battery systems. He has hosted 1 project funded by the Natural Science Foundation of Anhui Province, 1 open fund of the Key Laboratory of Sichuan Province, and 2 enterprise commissioned projects. As the first author, he has published over 10 articles in the 1st and 2nd zones of the Chinese Academy of Sciences, has obtained 8 invention patents and 2 software copyrights. He served as the chair of the sub-forums of SEGRE2024, CIEEC2025, SEGRE2025, and ICSGPS2026, and is a reviewer for journals such as Applied Energy, IoT, TIE, TTE, JES, Information and Control, and Batteries.
Dr. Hongyi Li, Iowa State University, USA
Dr. Hongyi Li received the B.Eng. degree, the M.Sc. degree and the Ph.D. degree from Huazhong University of Science and Technology, Imperial College London and University of Macau in 2020, 2021 and 2024, respectively. Currently, he is a postdoctoral researcher at Iowa State University. His research interests include AI-aided optimization, distributed energy resource operation, and other smart energy technologies.