Genetic programming enabled evolution of control policies for dynamic stochastic optimal power flow.
Stephan HuttererStefan VonolfenMichael AffenzellerPublished in: GECCO (Companion) (2013)
Keyphrases
- control policies
- genetic programming
- optimal power flow
- stochastic optimization problems
- optimal policy
- reinforcement learning
- fitness function
- control policy
- finite horizon
- evolutionary algorithm
- control system
- motion control
- genetic algorithm
- action space
- control strategies
- power system
- dynamic environments
- optimization problems
- machine learning