Intelligent soft-starter-based grid-integrated induction generator for pitch-regulated wind turbine system

Among the renewable energy sources, wind turbines play a vital role in power generation. One of the effective ways of power regulating systems is the pitch-regulated wind turbine, which is used to interface the grid and generator smoothly. In this paper, a novel approach of a pitch-regulated wind turbine using an intelligent soft-starter-based induction generator is presented. A neuro-fuzzy approach has been used as an intelligent tool in the soft-starter to estimate the firing angle of thyristors accurately so as to integrate the generator to the grid smoothly. Various wind turbine models such as 600, 1,000, and 1,500 kW are taken for simulation and simulation results have been presented to prove the proposed methodology.