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Abstract
This paper proposes a new computational control strategy. The control and analysis of Doubly Fed InductionGenerators (DFIG) based wind turbines have been proposed. The dynamic modelling of DFIG wind turbine has been carried out at first with the conventional control strategies for both rotor side and grid-side converters. However, the conventional control strategies have their own limitations such as power control at very high wind speed or turbulence, unable to control harmonics within the permissible values and instability issues at critical conditions. These limitations are overcome by Neuro Fuzzy Control Algorithm. A DFIG consists of a wound rotor induction generator with its stator windings. The principle of the DFIG is that rotor windings are connected to the grid via slip rings and back-to-back voltage sourceconverter that controls both the rotor and the grid currents. A Neuro Fuzzy Control schemewas presented where the harmonics was controlledto independently improvethe generated active and reactive power as well as the rotor speed to track the maximum wind power point. The simulation results indicate that the active and reactive powers in the system are controlled effectively to maintain the grid power constant. This is primarily due to the many advantages doubly-fed induction generators offer over other types of generators in applications where the mechanical power provided by the prime mover driving the generator varies greatly. The control strategy is developed and simulation studies are carried out in MATLAB/Simulink.