Optimal controller for doubly fed induction generator (DFIG) using Differential Evolutionary Algorithm (DE)

Variable-speed wind turbine (VST) with doubly-fed induction generator (DFIG) is one type of wind power that capable of producing electrical energy efficiently, capable of controlling real and reactive power generator, and improves the power quality. However, DFIG wind turbine has a variable-frequency AC / DC / AC converter (VFC) and IGBT switches that very sensitive to overcurrent which occur during transient disturbance. To protect the DFIG rotor circuit from excessive current, the rotor side converter will be blocked when VFC trip, so the DFIG detached from power system. Release of DFIG during disturbances can cause the production of electricity will be disrupted. By applying the proper control design, the quality of electricity supply during a disturbance can be corrected. In this research, the optimal design of PI controller in the rotor side converter (RSC) with DFIG wind turbine using the Differential Evolutionary Algorithm (DE) is proposed to improve the DFIG performance during disturbance. The simulation results indicate that the application of optimal design of PI controller on DFIG using DE can improve the performance of DFIG during disturbances. It shown by the significantly reducing of overshoot rotor current and voltage DC-link of DFIG with the optimized design when compared with the initial controller design system.