9 citations · 9 across the 5 of their papers we have counts for
5 papers
A Survey on IBR Penetrated Power System Stability Analysis Using Frequency Scanning
Shuvangkar Chandra Das, Lokesh Saravana, Le Minh Vu +4
The rapid rise in inverter-based renewable resources has heightened concerns over subsynchronous resonance and oscillations, thereby challenging grid stability. This paper reviews…
Preventive Energy Management for Distribution Systems Under Uncertain Events: A Deep Reinforcement Learning Approach
Md Isfakul Anam, Tuyen Vu, Jianhua Zhang
As power systems become more complex with the continuous integration of intelligent distributed energy resources (DERs), new risks and uncertainties arise. Consequently, to enhance…
Deep Reinforcement Learning for Optimizing Inverter Control: Fixed and Adaptive Gain Tuning Strategies for Power System Stability
Shuvangkar Chandra Das, Tuyen Vu, Deepak Ramasubramanian +3
This paper presents novel methods for tuning inverter controller gains using deep reinforcement learning (DRL). A Simulink-developed inverter model is converted into a dynamic link…
Recurrent Graph Transformer Network for Multiple Fault Localization in Naval Shipboard Systems
Quang-Ha Ngo, Isabel Barnola, Tuyen Vu +4
The integration of power electronics building blocks in modern MVDC 12kV Naval ship systems enhances energy management and functionality but also introduces complex fault detection…
Physics-informed Graphical Neural Network for Power System State Estimation
Quang-Ha Ngo, Bang L. H. Nguyen, Tuyen V. Vu +2
State estimation is highly critical for accurately observing the dynamic behavior of the power grids and minimizing risks from cyber threats. However, existing state estimation met…