Using genetic algorithm to tune PI-controllers for the direct-drive synchronous wind generators

This paper presents a novel methodology for tuning proportional-integral (PI) controllers gains for the grid-side converter of direct-drive synchronous wind generator using a genetic algorithm (GA) approach. The control approach aims to improve the behavior of the direct-current (DC)-link voltage, by a more effective contribution of direct-drive wind generator controllers to the system controllability when an electrical fault occurs. The time-domain simulations are carried out using the single-machine infinite bus system model with one direct-drive synchronous generator. The performance of the wind generator with optimized controller parameters and with the parameters designed by the pole placement technique are compared to demonstrate that the control performance of the system with optimized controller parameters permits the improvement of the converter ride-through capability.