Towards alleviating operating conditions of MPC controlled VSC for DFIG-Based Wind Turbines using PSO Algorithm

In this paper, an enhanced FCS-MPC control scheme is introduced for DFIG-based wind turbines. Controllers employing FCS-MPC to govern power converters often exhibit elevated switching frequencies, leading to notable switching losses and the potential for damaging power converters. This paper addresses this issue by using the PSO meta-heuristic algorithm to optimize switching frequencies. Notably, the optimization is performed while adhering to the IEEE Standards' waveform requirements for the current injected into the PCC.FCS-MPC with a single step prediction horizon performs well but leads to high switching frequencies for power converters. This issue persists when using a prediction horizon with dual step. To overcome this issue, a PSO optimized penalty term is incorporated into the cost function to minimize the overall switching frequency. The obtained results demonstrates a significant reduction in the switching frequency of DFIG converters without compromising control. The average switching frequencies for RSC and GSC are decreased by 1,67 kHz and 14,98kHz, respectively, in comparison to conventional MPC. While the THD level of the grid current is evaluated at 3.98%, which is fully coplying with IEEE 519 Std.