Event-triggered sliding mode observer based on particle swarm optimization for fault detection of the doubly fed induction generator for wind power systems.
GuoLiang ZhongWenXin YuJunNian WangYanming ZhaoPublished in: J. Ambient Intell. Humaniz. Comput. (2023)
Keyphrases
- fault detection
- fed induction generator
- fault identification
- sliding mode
- particle swarm optimization
- wind turbine
- economic dispatch
- power system
- fault diagnosis
- wind power
- power generation
- power plant
- electrical power
- stability analysis
- variable structure
- wind speed
- control strategy
- electric power systems
- pso algorithm
- robot manipulators
- control law
- control scheme
- power grids
- multi objective
- pid controller
- differential evolution
- neural network
- computational intelligence
- expert systems
- global optimization
- particle swarm optimization pso
- underwater vehicles
- control algorithm
- closed loop
- nonlinear systems
- operating conditions
- bp neural network
- mathematical model
- dynamic model
- evolutionary algorithm
- control system
- short term
- adaptive control
- fuzzy logic
- decision support system
- intelligent systems
- fuzzy systems
- genetic algorithm