Stability constrained reinforcement learning for real-time voltage control

Y Shi, G Qu, S Low, A Anandkumar… - 2022 American …, 2022 - ieeexplore.ieee.org
Deep reinforcement learning (RL) has been recognized as a promising tool to address the
challenges in real-time control of power systems. However, its deployment in real-world …

[PDF][PDF] Stability Constrained Reinforcement Learning for Real-Time Voltage Control

Y Shi, G Qu, S Low, A Anandkumar, A Wierman - authors.library.caltech.edu
Deep reinforcement learning (RL) has been recognized as a promising tool to address the
challenges in real-time control of power systems. However, its deployment in real-world …

[PDF][PDF] Stability Constrained Reinforcement Learning for Real-Time Voltage Control

Y Shi, G Qu, S Low, A Anandkumar… - 2022 American Control …, 2022 - par.nsf.gov
Deep reinforcement learning (RL) has been recognized as a promising tool to address the
challenges in real-time control of power systems. However, its deployment in real-world …

Stability Constrained Reinforcement Learning for Real-Time Voltage Control

Y Shi, G Qu, S Low, A Anandkumar… - arXiv preprint arXiv …, 2021 - arxiv.org
Deep reinforcement learning (RL) has been recognized as a promising tool to address the
challenges in real-time control of power systems. However, its deployment in real-world …

Stability Constrained Reinforcement Learning for Real-Time Voltage Control

Y Shi, G Qu, S Low, A Anandkumar… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Deep reinforcement learning (RL) has been recognized as a promising tool to address the
challenges in real-time control of power systems. However, its deployment in real-world …

[PDF][PDF] Stability Constrained Reinforcement Learning for Real-Time Voltage Control

Y Shi, G Qu, S Low, A Anandkumar, A Wierman - authors.library.caltech.edu
Deep reinforcement learning (RL) has been recognized as a promising tool to address the
challenges in real-time control of power systems. However, its deployment in real-world …