On-Line PID Parameters Optimization Control for Wind Power Generation System Based on Genetic Algorithm
Jiasheng Li, Wenguo Li
Abstract
An on-line PID parameter optimization control for the wind power generation system based on a genetic algorithm is proposed in this paper. Firstly, the anti-saturation PID control strategy is involved with considering the instability and complexity of the wind power source. Further, a genetic algorithm is introduced for an on-line optimization of the PID parameters. The simulation studies are carried out on a control model of wind power, using MATLAB simulation system. It is demonstrated that the proposed control strategy can not only solve the integral saturation, but also suppress the harmonics in the output waveform and enhance the power factor of system.
Topics & Concepts
PID controllerGenetic algorithmWind powerComputer scienceLine (geometry)Control theory (sociology)Power (physics)AlgorithmMathematical optimizationControl (management)Control engineeringMathematicsTemperature controlEngineeringArtificial intelligencePhysicsElectrical engineeringMachine learningQuantum mechanicsGeometryIslanding Detection in Power SystemsMicrogrid Control and OptimizationWind Turbine Control Systems