Research on AGC Performance During Wind Power Ramping Based on Deep Reinforcement Learning.
Dongying ZhangHuiting ZhangXu ZhangXiaoyu LiKaiqi RenYongxu ZhangYun GuoPublished in: IEEE Access (2020)
Keyphrases
- wind power
- reinforcement learning
- wind speed
- renewable energy
- power generation
- short term
- neuro fuzzy
- power system
- power plant
- function approximation
- electricity markets
- power grids
- forecasting model
- wind turbine
- state space
- electric power systems
- wind farm
- markov decision processes
- multi agent
- optimal policy
- machine learning
- electric power
- support vector regression
- dynamic programming
- long term
- multi agent systems