Load frequency control by neural-network-based integral sliding mode for nonlinear power systems with wind turbines.
Dianwei QianShiwen TongHong LiuXiangjie LiuPublished in: Neurocomputing (2016)
Keyphrases
- power system
- sliding mode
- variable structure
- wind turbine
- electrical power
- reactive power
- wind power
- stability analysis
- active power
- wind farm
- power generation
- wind speed
- adaptive control
- control strategy
- power system stabilizer
- load forecasting
- control theory
- fuzzy systems
- voltage stability
- sliding mode control
- control law
- neural network
- robot manipulators
- power grid
- nonlinear systems
- control scheme
- fuzzy control
- computational intelligence
- control system
- adaptive neural
- power plant
- control method
- short term
- neuro fuzzy
- electric vehicles
- closed loop
- artificial intelligence