Single Input Fuzzy Logic Control for Dfig Based Wecs in Standalone and Grid Connected Mode

This research study proposes a fuzzy logic controller (FLC) strategy with a single input variable for an autonomously operating doubly fed induction generator (DFIG) powered by wind turbines and a battery energy storage (BES). Harmonic elimination, unbalanced load current compensation, and maximum power extraction from the wind are just a few of the many uses for the proposed control scheme. The converters on the rotor-side and load-side are both controlled using field-oriented methods. The proposed FLC-based control, which only requires one input variable, has a better dynamic response than conventional control algorithms. Optimal energy harvesting from the wind is achieved through the use of a maximum power point tracking technique based on the tip speed ratio. Using the Simpower Systems toolbox in MATLAB, simulate the operation of a WPGS using DFIGs in a range of real-world scenarios, including steady-state and variable wind conditions, as well as unbalanced load currents. By keeping the frequency and voltage stable at the PCC, the voltages and currents in the DFIG stator have been determined to be balancing and sinusoidal.