Supervised assisted deep reinforcement learning for emergency voltage control of power systems.
Xiaoshuang LiXiao WangXinhu ZhengYuxin DaiZhihong YuJun Jason ZhangGuangquan BuFei-Yue WangPublished in: Neurocomputing (2022)
Keyphrases
- power system
- reinforcement learning
- reactive power
- electrical power
- reduced order model
- active power
- operating point
- transmission line
- computational intelligence
- smart grid
- power flow
- active power filter
- electric power systems
- optimal control
- distribution systems
- economic dispatch
- decision making
- control strategies
- power quality
- power grid
- voltage stability
- learning algorithm
- power generation
- load forecasting
- power system stabilizer
- short term load forecasting
- machine learning
- control system
- expert systems
- electric vehicles
- control policy
- artificial intelligence