Enhancing the Dynamic Performance of a Wind Driven Grid Connected DFIG Using an Effective Control Approach

Abstract

The current study concerns with introducing an efficient control approach which improves the dynamic performance of a grid connected doubly fed induction generator (DFIG) which is driven by a wind turbine. To prove the validation of the proposed control algorithm, the generator performance is evaluated under the proposed controller and under the model predictive direct torque control (MPDTC) as a classic predictive control type. After that, a comprehensive dynamic performance comparison is performed between the proposed controller and the MPDTC strategy to visualize the merits and shortages of each control technique to identify the most appropriate approach to be used with the DFIG. The results reveal and confirm the superiority of the formulated predictive control approach over the classic MPDTC, and this is illustrated through the fast-dynamic response, control simplicity, reduced ripples content and minimized computation burden. Moreover, the numerical results are showing a reduction in the total harmonic distortion (THD) with a percentage of 0.57% compared to MPDTC.