Intelligent backstepping control of power grid-connected wind power generation system using two five-phase PMSGs controlled through the fifteen-switch rectifier

This scholarly paper offers a wind power generation system (WPGS) that utilizes a configuration of parallel five-phase permanent magnet synchronous generators (PMSGs). The control mechanism for this system is based on a fifteen-switch rectifier (FSR) topology, which is specifically designed for grid-connected applications. To enhance the control performance of the proposed wind system, an Adaptive Neuro-Fuzzy Inference System (ANFIS)-based Backstepping control (BSC) methodology is utilized for both the generators-side and grid-side converters. The suggested control strategy’s effectiveness is assessed by conducting simulations at varying wind velocities and comparing it to a BSC-based control system. The simulation findings demonstrate that the suggested control system consistently ensures precise tracking of the controlled variables. Furthermore, several aspects of the system’s performance show significant improvements. Specifically, the control method successfully reduces power ripples by 30.5%, DC bus voltage overshoot by 3%, and speed overshoot by 100%. Moreover, the proposed technique reduces the overall harmonic distortion of the network current by 44.44% compared to the BSC method. Additionally, the system’s efficiency is enhanced to 96.5%, surpassing the 96% achieved by the BSC method. Compared to good nonlinear control methods, the results indicate that the suggested strategy outperforms.