Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks

Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks

<p dir="ltr">The seamless and resilient operation of power grids is crucial for ensuring a reliable electricity supply. However, maintaining high operational stability is increasingly challenging due to evolving grid complexities and potential adversarial threats. This paper proposes...

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Bibliographic Details
Main Author: Mohamed Massaoudi (16888710) (author)
Other Authors: Katherine R. Davis (20462726) (author)
Published: 2025
Subjects:
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Information and computing sciences
Artificial intelligence
Cybersecurity and privacy
Machine learning
Adversarial training
deep reinforcement learning
dynamic epsilon-clipping
power grid control
power system security
proximal policy optimization
Training
Perturbation methods
Optimization
Vectors
Robustness
Adaptation models
Stability criteria
Resilience
Tuning
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