Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training.
Alexander PanYongkyun LeeHuan ZhangYize ChenYuanyuan ShiPublished in: CoRR (2021)
Keyphrases
- power system
- reinforcement learning
- electrical power systems
- reactive power
- reduced order model
- active power
- computational intelligence
- multi agent
- power grid
- economic dispatch
- dynamic characteristics
- electrical power
- power generation
- control strategies
- smart grid
- voltage stability
- power flow
- operating point
- transmission line
- optimal power flow
- control system
- optimal control
- power system stabilizer
- active power filter
- genetic algorithm
- load forecasting
- control policy
- dynamic programming
- electric vehicles
- machine learning
- controller design
- operating conditions
- control method
- fault diagnosis
- optimal policy