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20182022
most citedSpatial-Temporal Recurrent Graph Neural Networks for Fault Diagnostics in Power Distribution Systems

3 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

eess.SY2022

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…

eess.SY2022

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…

eess.SP20223 cited

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…

eess.SY2022

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…

eess.SY20221 cited

Integrated Multiport Back-to-Back Power Converter for Type-4 Wind Turbine Generator with Hybrid Energy Storage System

Bang Le-Huy Nguyen, Thai-Thanh Nguyen, Van-Long Pham +3

This paper proposes a novel integrated multiport bidirectional back-to-back power converter for a type-4 wind turbine that accommodates a battery and supercapacitor for energy stor…

math.OC2019

Distributed Optimal Dynamic State Estimation for Cyber Intrusion Detection in Networked DC Microgrids

Tuyen Vu, Bang Le

In this paper, we present a novel distributed state estimation approach in networked DC microgrids to detect the false data injection in the microgrid control network. Each microgr…