Thanh Long Vu

Affiliations:
  • Pacific Northwest National Laboratory, Richland, WA, USA


According to our database1, Thanh Long Vu authored at least 20 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-Agent Deep Reinforcement Learning for Distributed Load Restoration.
IEEE Trans. Smart Grid, 2024

Coordinated Self-Assembly of Networked Microgrids Using Irving's Algorithm.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

2023
Reinforcement Learning of Structured Stabilizing Control for Linear Systems With Unknown State Matrix.
IEEE Trans. Autom. Control., March, 2023

Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls.
IEEE Control. Syst. Lett., 2023

Tuning Phase Lock Loop Controller of Grid Following Inverters by Reinforcement Learning to Support Networked Microgrid Operations.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Resilient Communication Scheme for Distributed Decision of Interconnecting Networks of Microgrids.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Distributed Coordination of Networked Microgrids for Voltage Support in Bulk Power Grids.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023

Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control.
Proceedings of the American Control Conference, 2023

2022
Consensus Control for Coordinating Grid-Forming and Grid-Following Inverters in Microgrids.
IEEE Trans. Smart Grid, 2022

Resilient Communication Scheme for Distributed Decision of InterconnectingNetworks of Microgrids.
CoRR, 2022

A Framework for Coordinated Self-Assembly of Networked Microgrids Using Consensus Algorithms.
IEEE Access, 2022

Learning the Robust and Structured Control of Unknown Linear Systems.
Proceedings of the American Control Conference, 2022

2021
On Distributed Model-Free Reinforcement Learning Control With Stability Guarantee.
IEEE Control. Syst. Lett., 2021

Safe Reinforcement Learning for Grid Voltage Control.
CoRR, 2021

Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning.
CoRR, 2021

Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Coordinated Frequency and Voltage Regulation of Grid-Following and Grid-Forming Inverters.
CoRR, 2020

Safe Reinforcement Learning for Emergency LoadShedding of Power Systems.
CoRR, 2020

Imposing Robust Structured Control Constraint on Reinforcement Learning of Linear Quadratic Regulator.
CoRR, 2020

Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix.
CoRR, 2020


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