Simulation Design of Automatic Control Model of Doubly-Fed Wind Power Based on Improved Ant Colony Optimization

With the increase of wind turbine power, its grid-connected ability also increases. Therefore, how to realize the efficient, safe and stable grid-connected operation of wind farms and wind farms is of great significance to the coordinated control of wind farms and wind farms. In this paper, an improved ACO(ant colony optimization) automatic control model of doubly-fed wind power is proposed, which uses the optimization characteristics of ACO to optimize PID parameters, making the automatic control system of doubly-fed wind power more adaptive and robust. The method of multiple chaotic search is adopted, and all individuals are used in this link to improve the global search efficiency of the algorithm and avoid the situation that the results are prone to local optimal solutions. The simulation results show that the application of ant colony PID algorithm in wind turbine is reduced by about 50.633% compared with the conventional PID algorithm, and the operation characteristics of doubly-fed wind turbine have been significantly improved, which can realize the steady operation of wind turbine and effectively restrain the power fluctuation of wind turbine when it exceeds the rated wind speed, making the operation of wind turbine more stable.