Special Session 24
Power Quality Analysis，Tracing, and Control in New Power Systems
With the large-scale integration of renewable energy, electric vehicles, and distributed energy resources, the structure of power systems is undergoing profound transformation. This trend presents new challenges in maintaining high-reliability power quality. The increased penetration of power electronics and the widespread adoption of decentralized generation have led to issues such as harmonic distortion, voltage fluctuations, and transient disturbances, which directly affect the safe and stable operation of the grid.In this context, the analysis, tracing, and control of power quality become critically important. Accurate power quality analysis can effectively identify and characterize various disturbances within the grid, while tracing techniques allow for precise localization of the disturbance sources, providing the necessary foundation for subsequent mitigation efforts. Based on this, implementing efficient control strategies to suppress or eliminate power quality issues is essential to ensure the grid's stability and efficiency under varying operating conditions.
This session focuses on the latest research and technological advancements in power quality analysis, tracing, and control in modern power systems. It covers methods for assessing grid performance, diagnosing the root causes of disturbances, and applying intelligent control solutions to improve stability and power quality.
Chairs:
Assoc. Prof. Feixiong Chen, Fuzhou University, China
Feixiong Chen (Member, IEEE) received the B.E. degree in electrical engineering from Chongqing University of Technology, in 2012, and the Ph.D. degree in electrical engineering from Chongqing University, Chongqing, China, in 2017. He is currently an Associate Professor in the College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China. His current research interests include multi-energy flow analysis and optimization methods for the energy internet.
Dr. Yan Zhang, Fuzhou University, China
Yan Zhang (Member, IEEE) received the B.E. degree in electrical engineering from Fuzhou University, Fuzhou, China, in 2001, and the M.E. degree in electrical engineering from Fuzhou University, Fuzhou, China, in 2004. She is currently a Lecturer in the College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China. Her current research interests include power quality analysis and mitigation, and modeling and simulation of renewable energy integrated power grids.
Dr. Chenxi Zhang, Fuzhou University, China
Chenxi Zhang (Member, IEEE) received the B.E. degree in electrical engineering from the School of Electrical Engineering and Automation, Harbin institute of Technology , Harbin，China, in 2020, and the Ph.D. degree in electrical engineering from the School of Electrical and Computer Engineering,The University of Sydney, Sydney,Australia, in 2024. She is currently an Lecturer in the College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China. Her research interests include demand-side energy management, peer-to-peer market transaction,planning and operation of smart grid,and low-carbon energy transition of power systems.
Dr. Changming Chen, Fuzhou University, China
Changming Chen (Member, IEEE) received the B.E. degree in electrical engineering from the College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China, in 2019, and the Ph.D. degree in electrical engineering from the College of Electrical Engineering, Zhejiang University, Hangzhou, China, in 2024. He is currently a Lecturer (Associate Research Fellow) in the College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China. His research interests include multi-energy data center optimization, power systems restoration, and shared energy storage business models.