9 citations · 17 across the 11 of their papers we have counts for
11 papers
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…
1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems
Bang L. H. Nguyen, Tuyen Vu, Thai-Thanh Nguyen +2
This paper presents a 1-D convolutional graph neural network for fault detection in microgrids. The combination of 1-D convolutional neural networks (1D-CNN) and graph convolutiona…
Hierarchical Control of Grid-Connected Hydrogen Electrolyzer Providing Grid Services
Bang L. H. Nguyen, Mayank Panwar, Rob Hovsapian +2
This paper presents the operation modes and control architecture of the grid-connected hydrogen electrolyzer systems for the provision of frequency and voltage supports. The analys…
Spatial-Temporal Recurrent Graph Neural Networks for Fault Diagnostics in Power Distribution Systems
Bang Nguyen, Tuyen Vu, Thai-Thanh Nguyen +2
Fault diagnostics are extremely important to decide proper actions toward fault isolation and system restoration. The growing integration of inverter-based distributed energy resou…
Power Converter Topologies for Electrolyzer Applications to Enable Electric Grid Services
Bang L. H. Nguyen, Mayank Panwar, Rob Hovsapian +2
Hydrogen electrolyzers, with their operational flexibility, can be configured as smart dynamic loads which can provide grid services and facilitate the integration of more renewabl…
Advanced Load Shedding for Integrated Power and Energy Systems
Bang L. H. Nguyen, Tuyen Vu, Colin Ogilvie +7
This paper introduces an advanced load shedding algorithm to improve the operability performance of a medium voltage direct current (MVDC) integrated shipboard power and energy sys…