Reinforcement learning and its applications in modern power and energy systems: A review

D Cao, W Hu, J Zhao, G Zhang, B Zhang… - Journal of modern …, 2020 - ieeexplore.ieee.org
With the growing integration of distributed energy resources (DERs), flexible loads, and
other emerging technologies, there are increasing complexities and uncertainties for …

Reinforcement learning for selective key applications in power systems: Recent advances and future challenges

X Chen, G Qu, Y Tang, S Low… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With large-scale integration of renewable generation and distributed energy resources,
modern power systems are confronted with new operational challenges, such as growing …

Deep learning in power systems research: A review

M Khodayar, G Liu, J Wang… - CSEE Journal of Power …, 2020 - ieeexplore.ieee.org
With the rapid growth of power systems measurements in terms of size and complexity,
discovering statistical patterns for a large variety of real-world applications such as …

Model-free real-time autonomous control for a residential multi-energy system using deep reinforcement learning

Y Ye, D Qiu, X Wu, G Strbac… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multi-energy systems (MES) are attracting increasing attention driven by its potential to offer
significant flexibility in future smart grids. At the residential level, the roll-out of smart meters …

Restoration of smart grids: Current status, challenges, and opportunities

D Fan, Y Ren, Q Feng, Y Liu, Z Wang, J Lin - Renewable and Sustainable …, 2021 - Elsevier
Smart grids, which constitute intelligent infrastructure in smart cities, provide reliable, energy-
efficient, and high-quality power to improve the standard of living while maintaining a …

Resilient distribution networks by microgrid formation using deep reinforcement learning

Y Huang, G Li, C Chen, Y Bian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Resilience becomes vital for power grids facing the increasingly frequent extreme weather
events. Microgrid formation is a promising way to achieve resilient distribution networks …