MODIFIED HYBRID OPTIMISATION TECHNIQUE USED FOR CONTROLLING THE TRANSIENTS OF THE DOUBLY-FED INDUCTION GENERATOR IN A WIND POWER PLANT

Abstract

RiDouble-fed induction generators play an important role in the wind energy sector due to their ability to operate at variable speeds, superior efficiency, and compatibility with the grid. The optimal controller design for a doubly-fed induction generator ensures efficient power conversion, stable operation, and fault tolerance in wind turbines. To maintain stability and control active and reactive power, this article suggests the design of a PI controller. This article proposes a new PI controller to maintain stability and regulate active and reactive power in a doubly-fed induction generator. A novel modified hybrid grey wolf cuckoo search algorithm tunes PI controller parameters. Furthermore, this work applied a modified Grey Wolf Cuckoo search algorithm to tune PI controller parameters. In this work, the proposed controller has been tested for a 2 MW DFIG wind power system. The results obtained with the proposed controller are compared with those of the Jaya and Whale optimisation algorithms. The results show that the proposed method reported only 4.1% total harmonic distortion and took only 10-12 iterations. In contrast, other methods exhibit higher total harmonic distortion and require more iterations. Other control parameters, such as rise time, peak time, and maximum overshoot, are minimised for the proposed methods shown in the results section.