Total Harmonic Distortion Reduction Method of Improved Finite Control Set Model Predictive Control for Single-Phase Inverter with Twisted Parameter

The single-phase inverter is a commonly used DC/AC converter in the industrial field. Due to its fast dynamic performance and the ability to handle multiple constraints, Finite Control Set-Model Predictive Control (FCS-MPC) is capable of effectively tracking the current of single-phase inverters. However, the implementation of FCS-MPC is characterized by high computational demand, time delay, and a requirement for high model accuracy. In order to address these challenges, this study proposes a twisted parameter FCS-MPC method that artificially twists the model parameters. This method aims to reduce Total Harmonic Distortion (THD) as compared to the one-step delay compensation FCS-MPC. By ensuring accurate tracking of the single-phase inverter, this method can effectively save computational time. The study utilizes simulations to uncover the impact of model parameters on the THD of the grid current. It is discovered that reducing the control parameters of inductance can lead to a reduction in THD of the current. The simulation results demonstrate that, within a certain range, reducing the control parameters of inductance can effectively enhance the quality of the grid current without an increase in the number of switch operations. Furthermore, this method outperforms the delay compensation method by offering a lower computational burden, smaller prediction error, and lower switch loss.