Deep reinforcement learning based active disturbance rejection load frequency control of multi-area interconnected power systems with renewable energy.
Yuemin ZhengJin TaoQinglin SunHao SunZengqiang ChenMingwei SunPublished in: J. Frankl. Inst. (2023)
Keyphrases
- disturbance rejection
- power system
- renewable energy
- wind power
- electrical power
- reinforcement learning
- load forecasting
- electric vehicles
- control system
- closed loop
- power generation
- wind speed
- power grid
- voltage stability
- short term
- power supply
- smart grid
- pid controller
- control law
- machine learning
- neuro fuzzy
- electricity markets
- long term
- computational intelligence
- wind turbine
- control strategy
- control method
- power plant
- real time
- optimal control
- evolutionary computation
- fault diagnosis
- state space
- support vector
- decision making
- neural network