Cover Image

Multi-agent Deep Reinforcement Learning for Distributed Load Restoration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vu, Linh, Vu, Tuyen, Vu, Thanh-Long, Srivastava, Anurag
Format:	Preprint
Published:	2023
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Preventive Energy Management for Distribution Systems Under Uncertain Events: A Deep Reinforcement Learning Approach
by: Anam, Md Isfakul, et al.
Published: (2024)

A Cyber-HIL for Investigating Control Systems in Ship Cyber Physical Systems under Communication Issues and Cyber Attacks
by: Vu, Linh, et al.
Published: (2023)

Real-time hybrid controls of energy storage and load shedding for integrated power and energy systems of ships
by: Vu, Linh, et al.
Published: (2024)

Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix
by: Mukherjee, Sayak, et al.
Published: (2020)

Deep Reinforcement Learning for Optimizing Inverter Control: Fixed and Adaptive Gain Tuning Strategies for Power System Stability
by: Das, Shuvangkar Chandra, et al.
Published: (2024)

Robust pid sliding mode control for dc servo motor speed control
by: Vu, Ngoc Son, et al.
Published: (2025)

A Survey on IBR Penetrated Power System Stability Analysis Using Frequency Scanning
by: Das, Shuvangkar Chandra, et al.
Published: (2025)

Solving Differential-Algebraic Equations in Power System Dynamic Analysis with Quantum Computing
by: Tran, Huynh Trung Thanh, et al.
Published: (2023)

Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration
by: Zhang, Xiangyu, et al.
Published: (2022)

Physics-informed Graphical Neural Network for Power System State Estimation
by: Ngo, Quang-Ha, et al.
Published: (2023)

Recurrent Graph Transformer Network for Multiple Fault Localization in Naval Shipboard Systems
by: Ngo, Quang-Ha, et al.
Published: (2024)

Bearing-Constrained Leader-Follower Formation of Single-Integrators with Disturbance Rejection: Adaptive Variable-Structure Approaches
by: Nguyen, Thanh Truong, et al.
Published: (2023)

Load Block Modeling in Distribution Systems: Network Reconfiguration for Load Restoration
by: Fobes, David M., et al.
Published: (2026)

Symmetric Linear Dynamical Systems are Learnable from Few Observations
by: Vu, Minh, et al.
Published: (2025)

Coordination of Transmission and Distribution Systems in Load Restoration
by: Sharma, Santosh
Published: (2024)

Reverse isoperimetric inequality for the lowest Robin eigenvalue of a triangle
by: Krejcirik, David, et al.
Published: (2022)

Optimization of sliding control parameters for a 3-dof robot arm using genetic algorithm (GA)
by: Son, Vu Ngoc, et al.
Published: (2025)

Flight through Narrow Gaps with Morphing-Wing Drones
by: Wanner, Julius, et al.
Published: (2026)

Autonomous Block Assembly for Boom Cranes with Passive Joint Dynamics: Integrated Vision MPC Control
by: Ebmer, Gerald, et al.
Published: (2026)

A Distributed Primal-Dual Method for Constrained Multi-agent Reinforcement Learning with General Parameterization
by: Kahe, Ali, et al.
Published: (2024)

Impacts of Electric Vehicle Charging Regimes and Infrastructure Deployments on System Performance: An Agent-Based Study
by: Hu, Jiahua, et al.
Published: (2026)

On the regularity of Dirac eigenfunctions
by: Vu, Tuyen
Published: (2023)

A Multi-Criterion Approach to Smart EV Charging with CO2 Emissions and Cost Minimization
by: Calafiore, Giuseppe C., et al.
Published: (2025)

Spectral properties of two-dimensional half-space semi-Dirac semi-metals
by: Vu, Tuyen
Published: (2024)

A hybrid neural network for real-time OD demand calibration under disruptions
by: Dantsuji, Takao, et al.
Published: (2024)

Traffic-aware Hierarchical Integrated Thermal and Energy Management for Connected HEVs
by: Han, Jie, et al.
Published: (2026)

Optimize the parameters of the PID Controller using Genetic Algorithm for Robot Manipulators
by: Son, Vu Ngoc, et al.
Published: (2025)

Sequential Multi-objective Multi-agent Reinforcement Learning Approach for Predictive Maintenance
by: Chen, Yan, et al.
Published: (2025)

Development of an Adaptive Sliding Mode Controller using Neural Networks for Trajectory Tracking of a Cylindrical Manipulator
by: Le, TieuNien, et al.
Published: (2025)

Situationally Aware Rolling Horizon Multi-Tier Load Restoration Considering Behind-The-Meter DER
by: Shi, Wenlong, et al.
Published: (2025)

Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation
by: Vu, Thanh Trung, et al.
Published: (2025)

Load Restoration in Islanded Microgrids: Formulation and Solution Strategies
by: Bose, Shourya, et al.
Published: (2021)

Matrix-Scaled Consensus over Undirected Networks
by: Trinh, Minh Hoang, et al.
Published: (2023)

DERs-Aided Blackstart and Load Restoration Framework for Distribution Systems Considering Synchronization and Frequency Security Constraints
by: Maharjan, Salish, et al.
Published: (2024)

Arbitrage Tactics in the Local Markets via Hierarchical Multi-agent Reinforcement Learning
by: Zhang, Haoyang, et al.
Published: (2025)

Facilitating Emergency Vehicle Passage in Congested Urban Areas Using Multi-agent Deep Reinforcement Learning
by: Su, Haoran
Published: (2025)

A primal-dual backward reflected forward splitting algorithm for structured monotone inclusions
by: Bang, Vu Cong, et al.
Published: (2024)

Delay and Overhead Efficient Transmission Scheduling for Federated Learning in UAV Swarms
by: Hoang, Duc N. M., et al.
Published: (2024)

Consensus seeking in diffusive multidimensional networks with a repeated interaction pattern and time-delays
by: Vu, Hoang Huy, et al.
Published: (2024)

Distributed Nesterov Flows for Multi-agent Optimization
by: Ren, Zihao, et al.
Published: (2026)