Autonomous Adaptive Control of Grid-Following and Grid-Forming Integration for Multi-Scenario Operating Conditions

With the increasing integration of renewable energy sources, power electronic devices, and diversified grid scenarios, modern power systems are facing complex challenges in stability, flexibility, and resilience. Traditional control strategies often fall short in addressing the dynamic and uncertain conditions of future grids. This session focuses on autonomous adaptive control for the integration of grid-following and grid-forming modes, aiming to enable seamless transition and cooperative operation across multiple grid scenarios. The goal is to develop intelligent control frameworks that enhance system stability, support grid restoration, and improve compatibility in hybrid AC/DC and weak grid environments. Topics of interest include, but are not limited to:

1.  Adaptive control strategies for grid-following and grid-forming converters

2.  Multi-scenario applicability: weak grids, islanded operation, hybrid AC/DC systems

3.  Autonomous mode switching and cooperative control architectures

4.  Stability analysis and enhancement under high penetration of power electronics

5.  Role of grid-forming controls in providing voltage and frequency support

6.  Synchronization techniques and stability in grid-following to grid-forming transitions

7.  Resilience-oriented control strategies for fault ride-through and black start

8.  Digital twin and AI-based adaptive control frameworks

9.  Inertia emulation and virtual oscillator-based control methods

10. Standardization and grid code adaptation for multi-mode converter systems

Chair:  

Meiling Ma, University of Shanghai for Science and Technology, China

Meiling Ma received the Ph.D. degree in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2021. She is currently with the Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai, China. She has been selected for the Shanghai Rising-Star Program (Sailing Special Program). Her research interests include power system transient stability and renewable energy generation.

Co-chairs：

Chao Shen, Hunan University, China

Chao Shen received the B.S. and Ph.D. degree from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2015 and 2021, respectively, all in electrical engineering. He served as a postdoctoral researcher in Southeast University from 2021 to 2025. Since 2025, he has been assistant professor in Hunan University. His research interests include transient modelling, stability analysis and control of power-electronic system.

Huijie Cheng, Hunan University, China

Huijie Cheng received the B.S. and Ph.D. degrees in electrical engineering from Hunan University of Technology, Zhuzhou, China, in 2016 and Hunan University, Changsha, China, in 2022, respectively. She is currently a Postdoctoral Researcher with the College of Electrical and Information Engineering, Hunan University. Her research interests include stability analysis and control of the power electronics interfaced power systems.

Chao Jiang, Northeast Electric Power University, China

Chao Jiang received the M.S. and Ph.D. degrees in electrical engineering from Northeast Electric Power University, Jilin, China, in 2020 and 2024, respectively. He is currently a Lecturer with the School of Electrical Engineering, Northeast Electric Power University. His research interests include transient modelling, stability analysis and control of power-electronic system.