Enhancement of Power Quality in Weak Grid Fed Wind Energy System by using ANFIS Controller

The manuscript discusses the implementation of adaptive-neural-fuzzy-interface-system in the wind energy systems to control the speeds of the generator driven by the interconnected wind turbine. The generator speeds are regulated using the voltage-source converters connected back to back on machine side and grid side points. This paper also proposes the strategy to subside the harmonics and improve the power quality by implementing the integrator for grid side converter switching and DC offset rejections. Under the transient- conditions of overshoot, the FLC tracks the reference speed meant for the synchronous-generator to keep the system under control thereby improving the wind-feed turbine variables with reduced-oscillations and balanced-operations. The power generated from the turbine system is fed to grid in support of the maintaining the grid reliability and continuity in demand supply. The simulation results were presented from MATLAB simulations with various variables taking into consideration for efficiency and performance.