Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming.
Hang ShuaiJiakun FangXiaomeng AiYufei TangJinyu WenHaibo HePublished in: IEEE Trans. Smart Grid (2019)
Keyphrases
- approximate dynamic programming
- stochastic optimization
- economic dispatch
- linear program
- multistage
- dynamic programming
- power system
- particle swarm optimization
- step size
- reinforcement learning
- power generation
- control policy
- average cost
- machine learning
- neural network
- policy iteration
- markov decision processes
- short term
- long term
- artificial intelligence