Approximate dynamic programming based supplementary reactive power control for DFIG wind farm to enhance power system stability.
Wentao GuoFeng LiuJennie SiDawei HeRonald G. HarleyShengwei MeiPublished in: Neurocomputing (2015)
Keyphrases
- power system
- approximate dynamic programming
- wind farm
- wind power
- power generation
- voltage stability
- linear program
- dynamic programming
- reinforcement learning
- computational intelligence
- step size
- wind speed
- load forecasting
- average cost
- reactive power
- data mining
- wind turbine
- control policy
- power management
- power plant
- markov decision processes
- artificial neural networks
- multi agent
- neural network
- voltage sags