A controlling method of DFIG-based wind turbine for stability improvement of power delivery to the power grid

Abstract

Today, due to technological improvements, wind power farms can compete with conventional sources of fossil fuels. At the time of unbalanced conditions of wind speed, in small and large wind turbine farms and even in the best wind sites, lack of damping in the turbine is substantially increased which will lead to instability of the power. In this article, the subject of power stability in DFIG in the event of changes in wind speed is of great importance. To this end, a new method for controlling DFIG wind turbine is proposed to keep the stability of power delivery to the grid at the time of unbalanced conditions of wind speed. This is done by dynamic and non - linear designing of rotor flux controller and wind turbine speed controller. By the proposed application of sliding mode control in this article, fuzzy logic theory, the maximum power point tracking and the state of uncertainty are fully respected. The simulation results in MATLAB/Simulink software are quite clear and validated.