Optimal electrical vehicle-to-grid integration: three-phase three-level AC/DC converter with model predictive controller based bidirectional power management scheme

Abstract

The control and modelling of an electric Vehicle charging station with a three-level converter are discussed in this study from both the grid side and the EV side. The primary subject of discussion is the control systems for charging stations with a bidirectional DC/DC charging regulator and a three-level AC/DC power conversion. In order to manage the duty cycle of the converter during the AC-to-DC conversion stage, three alternative controller techniques-proportional-integral, proportional-integral-derivative, and model predictive controller are developed in this study. The goal of the study is to understand how these controller techniques impact the battery's charging and discharging processes in a bidirectional charging system. To evaluate and compare the different controller schemes, the researchers use simulation results and assess their performance based on various criteria including charging/discharging e ciency, voltage and current, battery state-of-charge regulation, and response time. The simulation results show that in terms of peak overshoot and settling time, the MPC controller performs better than the conventional Proportional-Integral and Proportional-Integral-Derivative controllers. The signi cance of the controller selection in bidirectional charging systems, emphasizing the bene ts of using Model Predictive Control for better battery charging and discharging outcomes.