Integrating reinforcement learning and optimal power dispatch to enhance power grid resilience

Q Li, X Zhang, J Guo, X Shan, Z Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Power grids are vulnerable to extreme events that may cause the failure of multiple
components and lead to severe power outages. It is of practical importance to design …

Sequential node/link recovery strategy of power grids based on q-learning approach

Y Zhang, J Wu, Z Chen, Y Huang… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Cascading failure, which can be triggered by both physical and cyber attacks, is among the
most critical threats to the security and resilience of power grids. In current literature …

[HTML][HTML] A self-healing restoration of power grid based on two-stage adaptive decision-making strategy to enhance grid resilience

T Aziz, M Waseem, S Liu, Y Ma, Z Lin - International Journal of Electrical …, 2023 - Elsevier
Large-scale power outages can affect the economy of the country and jeopardize the lives of
millions of people, so there is a need for a fast, reliable, and self-healing tool to reduce these …

A hybrid multiagent framework with Q-learning for power grid systems restoration

D Ye, M Zhang, D Sutanto - IEEE Transactions on Power …, 2011 - ieeexplore.ieee.org
This paper presents a hybrid multiagent framework with a Q-learning algorithm to support
rapid restoration of power grid systems following catastrophic disturbances involving loss of …

Self‐healing strategy to enhance microgrid resilience during faults occurrence

Y Zahraoui, I Alhamrouni… - … on Electrical Energy …, 2021 - Wiley Online Library
The interruption in the power system has a substantial social and economic effect, especially
during natural disasters and faults causing a massive outage. Therefore, the appropriate …

A robust approach to restoring critical loads in a resilient power distribution system

A Dubey, S Poudel - 2017 IEEE Power & Energy Society …, 2017 - ieeexplore.ieee.org
Owing to the increased number of natural disasters, ensuring a resilient operation of power
distribution system is of paramount importance. In this paper, an advanced feeder …

A parallel sectionalized restoration scheme for resilient smart grid systems

S Abbasi, M Barati, GJ Lim - IEEE Transactions on Smart Grid, 2017 - ieeexplore.ieee.org
A parallel automated resilience-based restoration methodology is presented in the power
system to minimize impact due to emergency power outages. In this power restoration …

Service restoration using deep reinforcement learning and dynamic microgrid formation in distribution networks

MA Igder, X Liang - IEEE Transactions on Industry Applications, 2023 - ieeexplore.ieee.org
A resilient power distribution network can reduce length and impact of power outages,
maintain continuous services, and improve reliability. One effective way to enhance the …

Hybrid reinforcement learning for power transmission network self-healing considering wind power

R Sun, Y Liu - IEEE Transactions on Neural Networks and …, 2021 - ieeexplore.ieee.org
Transmission network self-healing considering uncertain wind power becomes crucial with
increasing penetration of wind power. A hybrid reinforcement learning (HRL) method …

Hybrid imitation learning for real-time service restoration in resilient distribution systems

Y Zhang, F Qiu, T Hong, Z Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Self-healing capability is a critical factor for a resilient distribution system, which requires
intelligent agents to automatically perform service restoration online, including network …