Dynamic optimal power flow control with simulation-based evolutionary policy-function approximation.
Stephan HuttererMichael AffenzellerPublished in: Int. J. Simul. Process. Model. (2015)
Keyphrases
- function approximation
- optimal power flow
- reinforcement learning
- function approximators
- radial basis function
- temporal difference
- policy gradient
- control policy
- learning tasks
- model free
- reinforcement learning problems
- evolutionary methods
- data mining
- optimal policy
- action selection
- operating conditions
- machine learning
- power system
- control system
- evolutionary algorithm
- genetic algorithm