Day-ahead optimal dispatching of hybrid power system based on deep reinforcement learning.
Yakun ShiChaoxu MuYi HaoShiqian MaNa XuZhiqiang ChongPublished in: Cogn. Comput. Syst. (2022)
Keyphrases
- power system
- reinforcement learning
- operating point
- economic dispatch
- power grid
- smart grid
- optimal control
- optimal power flow
- dynamic programming
- short term
- reactive power
- computational intelligence
- electrical power systems
- wind power
- transmission line
- state space
- optimal solution
- multi agent
- neural network
- power generation
- voltage stability
- manufacturing systems
- particle swarm optimization
- control policy
- scheduling problem
- long term
- unit commitment
- active power
- artificial intelligence