2 papers
eess.SY2026
Quantifying and Improving the Accuracy of Electromagnetic Transient-Transient Stability Hybrid Simulation
Bin Wang, Qiang Zhang, Xiaochuan Luo +4
The increasing penetration of inverter-based resources introduces new dynamic challenges to modern power grids, such as sub- and super-synchronous oscillations and other faster dyn…
eess.SY2024
Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights
Di Shi, Qiang Zhang, Mingguo Hong +4
Deep reinforcement learning (DRL) holds significant promise for managing voltage control challenges in simulated power grid environments. However, its real-world application in pow…