Quantum deep reinforcement learning for rotor side converter control of double-fed induction generator-based wind turbines.
Linfei YinLichun ChenDongduan LiuXiao HuangFang GaoPublished in: Eng. Appl. Artif. Intell. (2021)
Keyphrases
- fed induction generator
- wind turbine
- wind farm
- wind speed
- reinforcement learning
- wind power
- wind energy
- neural network
- control problems
- power generation
- fault diagnosis
- power plant
- robot control
- optimal control
- short term
- control strategy
- renewable energy
- function approximation
- control policy
- control method
- optimal policy
- long term
- control system
- management system
- evolutionary algorithm
- multi agent
- artificial intelligence
- genetic algorithm
- fault identification
- machine learning
- data mining