Dynamic stability improvement of power system with DFIG using multi-input backstepping control

In this paper, the dynamic stability of the power systems is improved through the rotor side convertor voltage control of a number of doubly fed induction generators (DFIGs). The multi-input backstepping method is used to design the control laws. Using the particle swarm optimization algorithm, the proposed control parameters are optimized to achieve a better performance. This optimal control law leads to a significantly improved performance in comparison with linear control methods such as state feedback control which implement optimized pole placement by linear matrix inequality design. The offered method results in a faster convergence rate and also robustness against changes in the operating points. The performance of the presented control scheme is validated in a standard 9-bus IEEE power system, with a DFIG located in bus number 9.