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…
Distributed Dynamic State Estimation for Microgrids
Bang L. H. Nguyen, Tuyen V. Vu, Thomas H. Ortmeyer +1
Conventionally, the dynamic state estimation of variables in power networks is performed based on the forecasting-aided model of bus voltages. This approach is effective in the sti…
Distributed Dynamic State-Input Estimation for Power Networks of Microgrids and Active Distribution Systems with Unknown Inputs
Bang L. H. Nguyen, Tuyen V. Vu, Joseph M. Guerrero +3
This paper proposes a joint input and state dynamic estimation scheme for power networks in microgrids and active distribution systems with unknown inputs. The conventional dynamic…
Cyber-Physical Microgrids: Toward Future Resilient Communities
Tuyen Vu, Bang Nguyen, Zheyuan Cheng +2
Research in monitoring and control of microgrids has been ongoing for the last two decades to protect and enhance communities' socio-economic performance. However, of increasing co…
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…
Decentralized Dynamic State Estimation in Microgrids
Bang L. H. Nguyen, Tuyen V. Vu, Tuan A. Ngo
This paper proposes a decentralized dynamic state estimation scheme for microgrids. The approach employs the voltage and current measurements in the dq0 reference frame through pha…