TSK-Fuzzy Controllers based Novel Control Method for Grid Integrated DFIG System

Abstract

Grid connected renewable energy sources based electric power generation systems are increasing day by day to meet the electrical demand without burning any fossil fuels. Doubly fed induction generators (DFIGs) are widely used in wind turbines due to advantages that they can allow the amplitude and frequency of their output voltages to be maintained at a constant value, no matter the speed of the wind blowing on the wind turbine rotor. Moreover, the DFIG provides a huge possibility to improve network dynamic behavior by using the power electronic converters with sufficient control arrangements. Many different structure and control algorithms can be used for control of power converters. However, conventional controllers cannot perform with full efficiency during rapid changes in wind speed. Hence, Takagi–Sugeno–Kang (TSK) Fuzzy controllers based novel control technique is proposed in this paper for performing many tasks on grid connected DFIG systems. The proposed control scheme is tested under variations of voltage, frequency, wind speed, and reactive power load. To achieve the realistic responses, the Hardware-in the-Loop (HIL) is implemented with the help of OPAL-RT modules for presenting extensive results.