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) …
Robust Optimal Power Flow Against Adversarial Attacks: A Tri-Level Optimization Approach
SM Khamaneh, T Wu - arXiv preprint arXiv:2411.08618, 2024 - arxiv.org
In power systems, unpredictable events like extreme weather, equipment failures, and
cyberattacks present significant challenges to ensuring safety and reliability. Ensuring …
cyberattacks present significant challenges to ensuring safety and reliability. Ensuring …
[PDF][PDF] Enhancing Energy Flexibility in Electric Vehicle Charging Stations using Reinforcement Learning
AAA Suarez - antonioaslan.com
As the world shifts towards cleaner energy, the integration of renewable energy sources
(RES) poses new challenges for grid stability due to its variable nature. This increased …
(RES) poses new challenges for grid stability due to its variable nature. This increased …