A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning.
Fulong YaoWanqing ZhaoMatthew ForshawYang SongPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- control problems
- optimal control
- control policy
- control system
- robot control
- global optimization
- optimization process
- adaptive control
- optimization algorithm
- dynamic programming
- function approximation
- power consumption
- control method
- constrained optimization
- optimization model
- model free
- control strategies
- action selection
- control theory
- power losses
- robotic control
- active power
- electric vehicles
- state space
- optimization problems
- genetic algorithm
- optimal policy
- control strategy
- markov decision processes