Improved DFIG-WPGS Efficiency via the tuned PI-Resonant Unit Controller based on BAT Algorithm

This study introduces rotor-edge current control concerning stator-edge power behavior based on the online tuned Resonant Proportional-Integral Regulator using Discrete-BAT optimization Algorithm (DPIR-ON-DBAT) for the DFIG-WPGS as a Recurrent Artificial Neural Network (RANN). The DPIR-ON-DBAT is designed to control the distorted system with several dynamic positions and control goals. The +dq rotor-edge current components, swings of electromagnetic torque and stator-edge power, are regulated by the proposed control with a resonant part oscillated at 6-times the main system frequency. Consequently, these variables are instantly regulated by the DPIR-ON-DBAT technique without extra succession disassembling the segments. The simulation results are implemented using Matlab-Simulink for the introduced control of a 2MW DFIG-WPGS, which gave a better dynamic behavior than the customary PIR-Naslin and PI control principle.