Neuro fuzzy soft starter for grid integration with pitch regulated wind turbine system

Wind turbines are playing a vital role in power generation among the renewable energy sources. One of the effective ways of power regulating systems is pitch regulated wind turbine which is used to interface the grid and generator smoothly. In this paper, a novel approach of pitch regulated wind turbine using intelligent soft starter based induction generator is presented. Neuro fuzzy approach has been used as intelligent tool in soft starter to estimate thyristors firing angle accurately so as to integrate the generator to the grid smoothly. Various wind turbine models such as 600 kW and 1000 kW are taken for simulation and simulation results have been presented to prove the proposed methodology. Low voltage ride through (LVRT) capability of proposed methodology in 1 MW wind turbine model is also presented in this paper to prove the reliability of proposed method.