Disturbance Control Strategy of Wind Turbine Generator Liquid Cooling System Based on Particle Swarm Optimization

This paper investigates the simulation and control strategy of a liquid cooling system for a 1.5 MW wind turbine. The model of generator liquid cooling system is established by AMESim and the simulations are performed for the thermal load variations and some non-system fault disturbances that may occur in the actual operation of the system. In order to ensure the cooling performance of the system under parameter variations and disturbances, a linear active disturbance rejection control (LADRC) is used to ensure the control performance of the system. Since the adjustment of the LADRC parameters is tedious, particle swarm optimization (PSO) is used to optimize the parameters of the controller. By comparing the experimental results of Simulink and AMESim joint simulation with the conventional PID algorithm, the robustness of the cooling system with optimized controller parameters is verified, and satisfactory cooling performance is obtained.