3 papers
eess.SY2026
Expanding the Transient Stability Region of Attraction of Networked Grid-Interactive Inverters: A Probabilistic Active Learning Framework
Zhong Liu, Jialin Zheng, Junjie Qin +1
The continuous integration of inverter-based resources makes transient stability analysis increasingly important for power system modernization, in light of the intricate dynamics…
eess.SY2026
Discovering Unknown Inverter Governing Equations via Physics-Informed Sparse Machine Learning
Jialin Zheng, Ruhaan Batta, Zhong Liu +1
Discovering the unknown governing equations of grid-connected inverters from external measurements holds significant attraction for analyzing modern inverter-intensive power system…
eess.SY2025
Latent-Feature-Informed Neural ODE Modeling for Lightweight Stability Evaluation of Black-box Grid-Tied Inverters
Jialin Zheng, Zhong Liu, Xiaonan Lu
Stability evaluation of black-box grid-tied inverters is vital for grid reliability, yet identification techniques are both data-hungry and blocked by proprietary internals. {To so…