ICIEA 2026 Special Session

SS16: Stability Analysis and Intelligent Control of Power Electronics Dominated Power Systems

Organized by:

Organizer 1: Jiawei Chen

Email: echenjw@cqu.edu.cn

Affiliation: Chongqing University, China

Organizer 2: Changbin Hu

Email: changbinlove@163.com

Affiliation: North China University of Technology, China

Organizer 3: Wenjie Ao

Email: wenjieao@cqu.edu.cn

Affiliation: Chongqing University, China

Organizer 4: Qingchao Song

Email: qingchao.song@polyu.edu.hk

Affiliation: The Hong Kong Polytechnic University, China

Summary of session:

The shift toward power-electronics-dominated power systems, driven by the integration of sustainable energy, has made stability a key concern. This special session invites innovative contributions on small-signal and large-signal stability analyses for such systems, aiming to offer breakthrough solutions to ongoing industrial challenges. We also welcome pioneering research on emerging technologies, such as AI and digital twins, to improve their modeling and analysis. Contributions that demonstrate theoretical advances, practical applications, or case studies are encouraged, showcasing their role in ensuring the security and stability of these systems.

We invite high-quality research papers and contributions on, but not limited to, the following topics:

• New small-signal stability methods for new power systems.
• Non-linear large-signal stability analysis methods for new power system.
• AI-driven stability analysis methods for power systems, including machine learning and reinforcement learning based methods, fast stability boundary prediction strategies, and instability mode identification methods.
• Stability analysis via digital twin: digital-twin-driven architecture and paradigms for power system, visualization and decision support systems for the large-signal stability region etc.

Background and Justification:

In response to the ongoing challenges posed by global warming, power systems are shifting toward power-electronics-dominated systems to accommodate the increasing adoption of sustainable energy. This structural change, characterized by a lack of natural inertia, complex nonlinear dynamics in converters, and energy exchanges across different timescales, results in unpredictable instability. Conventional small-signal and large-signal analytical methods often fall short under these conditions. Therefore, it is crucial to develop advanced stability analysis theories to guide the effective design, control, and optimization of these systems.