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20192023
most citedPhysics-informed Graphical Neural Network for Power System State Estimation

9 citations · 17 across the 11 of their papers we have counts for

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8 papers · 1 filter

eess.SY2023★ 9 cited

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…

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.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.SY2021

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…

eess.SY2021

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…

eess.SY2021

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…

eess.SY2019★ 1 cited

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…