Optimization Techniques of DFIG Controller Design for Performance Intensification of Wind Power Conversion Systems

This paper illustrates the optimization techniques of DFIG controller design for performance intensification of the wind power conversion system. The DFIGs are employed in wind energy conversion systems (WECSs) due to robustness toward changeable wind and rotor speed. DFIG kept the adaptable property since the system parameters are allocated with, including real, reactive power, DC-link voltage, and transient and dynamic responses. The analysis becomes more prominent during any unusual condition in the electrical power generation system. Therefore, the improvement in the system parameters for steady state and transient response performance of DFIG are required that can be accomplished using some controlling techniques. For fulfilling the task, the present work implements and compares the optimization methods for the design of the DFIG controller for WECS. The bio-inspired optimization techniques are applied to get the optimal controller design parameters for DFIG-based WECS. The optimized DFIG controllers are then used to repossess the transient response performance of the six-order DFIG model with a step input. The results using MATLAB/Simulink show that the firefly algorithm (FFA) over other control techniques has best performance as compared with the other controller design methods.