4 papers
A Review of Safe Reinforcement Learning Methods for Modern Power Systems
Tong Su, Tong Wu, Junbo Zhao +2
Given the availability of more comprehensive measurement data in modern power systems, reinforcement learning (RL) has gained significant interest in operation and control. Convent…
Gaussian Processes in Power Systems: Techniques, Applications, and Future Works
Bendong Tan, Tong Su, Yu Weng +6
The increasing integration of renewable energy sources (RESs) and distributed energy resources (DERs) has significantly heightened operational complexity and uncertainty in modern…
A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications
Tong Su, Jiangkai Peng, Alaa Selim +2
The emergence of grid-forming (GFM) inverter technology and the increasing role of machine learning in power systems highlight the need for evaluating the latest dynamic simulators…
Neural Network Certification Informed Power System Transient Stability Preventive Control with Renewable Energy
Tong Su, Junbo Zhao
Existing machine learning-based surrogate modeling methods for transient stability constrained-optimal power flow (TSC-OPF) lack certifications in the presence of unseen disturbanc…