Design and Analysis of TSK Fuzzy Controllers Based Grid Connected DFIG System for Improving Power Quality

To meet the increasing demand for electricity and reduce dependence on fossil fuels, there is a persistent increase in the deployment of grid integrated renewable energy sources for electricity production. Doubly fed induction generators (DFIGs) are extensively utilized in wind turbines due to their capability to maintain a stable voltage and frequency, even in the face of fluctuating wind speeds impacting the turbine rotor. The incorporation of power electronic converters, along with suitable control systems, enables the DFIG to markedly improve the dynamic performance of the electrical network. The efficient management of power converters can be achieved by employing a range of structural designs and control algorithms. However, conventional controllers frequently encounter difficulties in maintaining optimal performance during swift variations in wind speed. This article presents a novel control methodology that employs Takagi-Sugeno-Kang (TSK) fuzzy controllers, designed to perform various functions in grid-connected DFIG systems. The effectiveness of the suggested control strategy has been assessed in relation to variations in frequency, voltage, wind speed, and reactive power load. OPAL-RT units are utilized in a Hardware-in-theLoop (HIL) configuration to generate detailed outcomes and responses.