Inverse Model Predictive Control for Multi-Port Solid State Transformer

This paper presents a PV-based EV charging system that utilizes four-port solid state transformer (SST) controlled using inverse model predictive control (IMPC). The IMPC is used to effectively regulate power flow between the grid, PV, EV, and battery storage by optimizing the phase shift of each port pulses. This paper employs four distinct IMPC mechanisms. The first is a finite-set variable-frequency approach designed to regulate the power flow of the AC-DC converter. The other three mechanisms are constant-frequency variable-phase shift approaches, used to manage the power flow between the SST's ports. On the other hand, all control algorithms are implemented using one low-cost microcontroller thanks to the low computational requirements of the IMPC. This offers many advantages in industrial applications including reduced cost, size, and complexity. The charging infrastructure and control algorithms are implemented experimentally to validate the effectiveness of the proposed approach. Comprehensive investigations are curried out to demonstrate that the IMPC can effectively handle the tracking functions and efficiently manage the required and surplus power.