2026 6th International Conference on Smart Grid and Energy Internet (SGEI 2026)

专题：Power Electronics Induced Steady-State and Dynamic Instability and Its Mitigation

Power Electronics Induced Steady-State and Dynamic Instability and Its Mitigation

Summary: With the rapid integration of renewable energy sources, high-voltage direct current (HVDC) systems, and power electronic-interfaced loads, modern power systems are increasingly dominated by power electronic converters. While these devices enable efficient energy conversion and enhanced controllability, they also introduce new challenges to system stability, including both steady-state and dynamic instability phenomena such as oscillations, resonance, and synchronization issues. This session focuses on the mechanisms, modeling, and mitigation of instability induced by power electronic devices in AC/DC grids, emphasizing how converter control interactions, grid-following/grid-forming behaviors, and network characteristics can lead to instability in high-penetration scenarios. The goal is to advance methods for analyzing, predicting, and suppressing these instability issues to ensure reliable operation of future converter-dominated power systems. Topics of interest include, but are not limited to:

1. Modeling and analysis of converter-driven stability in weak grids

2. Grid-forming converter control for stability enhancement

3. Sub-synchronous and high-frequency oscillation mechanisms and damping

4. Stability of hybrid AC/DC grids with multiple converter resources

5. Impedance-based stability analysis and shaping techniques

6. Synchronization instability under grid faults and disturbances

7. Control interactions in wind and solar power plants

8. Stability-aware converter design and parameter optimization

9. Real-time stability assessment and monitoring tools

10. Standards and grid codes for stability in power-electronics-rich systems

Chair:

Jianzhe Liu, Shanghai Jiao Tong University, China

Jianzhe Liu (Member, IEEE) received the B.E. degree in electrical engineering from the Huazhong University of Science and Technology, Wuhan, China, in2012, and the Ph.D. degree in electrical and computer engineering from The Ohio State University,Columbus, OH, USA, in 2017. He was with Argonne National Laboratory, Lemont, IL, USA, from 2018 to 2023. He is currently an Associate Professor with Shanghai Jiao Tong University, Shanghai, China. His research interests include control and optimization for electric power systems under uncertainties.

Co-chairs:

Dawei Chen, Shanghai Jiao Tong University, China

Dawei Chen received the Ph.D. degree from the School of Electrical Engineering at Shanghai Jiao Tong University, with a primary research focus on fault transient analysis and computation in high-penetration wind power systems. Relevant research achievements include 11 published papers, among which 8 are SCI-indexed, and 5 authorized patents.

Juan Wei, Hunan University, China

Juan Wei received the B.S. and M.S. degrees in electrical engineering from the North China Electric Power University, Beijing, China, in 2011 and 2014, and the Ph.D. degree in College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2022. She is currently an Associate professor with the College of Electrical and Information Engineering, Hunan University. Her research interests include wind power modeling and control, renewable energy generation, power system economic and secure operation and motor control.