2 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
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…
Cloud Deployment of Large-Scale Electromagnetic Transient Simulation -- Discovery and Experiences
Xiaochuan Luo, Jason Ploof, Xinghao Fang +2
Electromagnetic Transient (EMT) simulation starts to play a critical role in modern power system planning and operations due to large penetration of inverter based resources (IBRs)…
Physics-Aware Neural Dynamic Equivalence of Power Systems
Qing Shen, Yifan Zhou, Qiang Zhang +3
This letter devises Neural Dynamic Equivalence (NeuDyE), which explores physics-aware machine learning and neural-ordinary-differential-equations (ODE-Net) to discover a dynamic eq…
A Modal-Space Method for Online Power System Steady-State Stability Monitoring
Bin Wang, Le Xie, Slava Maslennikov +3
This paper proposes a novel approach to estimate the steady-state angle stability limit (SSASL) by using the nonlinear power system dynamic model in the modal space. Through two li…