Field-Oriented Control Based on Nonlinear Techniques for Wind Energy Conversion Systems

Abstract

This work represents the modeling, control, comparison, and simulation of the doubly fed induction generator (DFIG) based wind energy conversion system. In order to control the reactive and active power, synergetic control and super twisting algorithm are suggested. These two methods are used to overcome the problems of field-oriented control (FOC). So, it is necessary to conduct a comparative study between the two proposed strategies to know the best way to control the generator. Therefore, Matlab software is used to perform this comparison, where the focus is on current quality, ripple reduction ratio, power, dynamic response, robustness, and degree of complexity. According to the observations, the super-twisting algorithm outperforms the synergetic control in terms of minimizing harmonic current distortion and significantly reducing ripples in reactive and active power, which also granted acceptable solidity towards parametric variations.