A Critical Review of Safe Reinforcement Learning Techniques in Smart Grid Applications
VH Bui, S Das, A Hussain, GV Hollweg… - arXiv preprint arXiv …, 2024 - arxiv.org
The high penetration of distributed energy resources (DERs) in modern smart power
systems introduces unforeseen uncertainties for the electricity sector, leading to increased …
systems introduces unforeseen uncertainties for the electricity sector, leading to increased …
A Review of Safe Reinforcement Learning Methods for Modern Power Systems
Due to the availability of more comprehensive measurement data in modern power systems,
there has been significant interest in developing and applying reinforcement learning (RL) …
there has been significant interest in developing and applying reinforcement learning (RL) …
A Memory-Based Graph Reinforcement Learning Method for Critical Load Restoration With Uncertainties of Distributed Energy Resource
B Fan, X Liu, G Xiao, Y Xu, X Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The integration of distributed energy resources into distribution networks, marked by its
inherent uncertainties, presents a substantial challenge for devising load restoration …
inherent uncertainties, presents a substantial challenge for devising load restoration …
Two-Stage Resilient Recovery of Unbalanced Distribution System Considering Intelligent Zoning and Merging of Microgrids
C Yin, X Wu, X Wang - IEEE Transactions on Smart Grid, 2024 - ieeexplore.ieee.org
Increasingly extreme events are threatening the resilience of distribution systems.
Conventional research usually ignores the distribution system unbalance and microgrid …
Conventional research usually ignores the distribution system unbalance and microgrid …
Dual anti-jamming alleviation for radio frequency/free-space optical (RF/FSO) tactical systems
TT Nguyen, KK Nguyen - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
In this paper, we design a jamming alleviation plan to protect a mixed radio frequency/free-
space optical (RF/FSO) relay tactical network in the context that both RF and FSO systems …
space optical (RF/FSO) relay tactical network in the context that both RF and FSO systems …
[PDF][PDF] Deep Graph Neural Network for Fault Detection and Identification in Distribution Systems
With the growing integration of renewable energy sources, the penetration of the distributed
generation leads to increasingly dynamic power distribution system topologies. This poses …
generation leads to increasingly dynamic power distribution system topologies. This poses …
Optimal Operation of Networked Microgrids With Distributed Multi-Agent Reinforcement Learning
H Li, H He - 2024 IEEE Power & Energy Society General …, 2024 - ieeexplore.ieee.org
This paper presents distributed multi-agent deep reinforcement learning (MADRL) approach
for optimizing power flow management in networked microgrids within distribution systems …
for optimizing power flow management in networked microgrids within distribution systems …
Resiliency-driven Restoration for Unbalanced Distribution Systems with IoT-based Demand Response and DERs
The use of Internet-of-Things (IoT) technology in electric power distribution is growing,
specially with smart meters, automated controls, demand response (DR), and renewable …
specially with smart meters, automated controls, demand response (DR), and renewable …
A Load Transfer Decision Method for Distribution Networks Based on Mask-Constrained Deep Reinforcement Learning
K Ji, J Qiao, Y Chen, F Yang, Z Zhao… - 2024 9th Asia …, 2024 - ieeexplore.ieee.org
In recent years, with the rapid expansion of urban areas and the increase in electricity
consumption, the number of nodes in distribution networks has significantly grown, resulting …
consumption, the number of nodes in distribution networks has significantly grown, resulting …
Load Restoration Approach in Biogas Powered Microgrid
S Verma, A Sharma, P Bajpai - 2024 IEEE 4th International …, 2024 - ieeexplore.ieee.org
This study addresses the critical need for a robust approach to load restoration in an active
distribution network (ADN), with a focus on the utilization of Bio-Gas Plants (BGPs) as revival …
distribution network (ADN), with a focus on the utilization of Bio-Gas Plants (BGPs) as revival …