| Popis: |
For the low parameter tuning efficiency, accuracy and adaptability of the traditional PID parameter tuning method currently adopted in the wind turbine variable-pitch system, this paper presents a method for self-optimization of wind turbine variable-pitch control parameters based on adaptive genetic algorithm, including variable-gain variable-pitch PID parameter self-optimization and tower damping parameter self-optimization. The author first described the basic principle of variable-pitch control system; then based on the genetic algorithm, planned and designed constraint conditions for different wind turbine models, covering initial population selection, self-optimization algorithm constraints and adaptability function design; and finally compared and analyzed the response curve, simulation and field operation results of the traditional parameter tuning method and self-optimization parameter tuning method. The results show that, compared with the traditional parameter tuning method, the self-optimization parameter tuning method reduces the motor speed fluctuation by about 10%, and the fatigue My load of the tower bottom by about 2%. This shows the self-optimization parameter tuning method can improve the tuning efficiency, accuracy and adaptability. |
