SMART POWER FLOW REGULATION IN EV CHARGING SYSTEM WITH BIDIRECTIONAL ENERGY TRANSFER

Abstract

Using a model predictive control technique based on finite control sets for the second stage OBC (On-Board Charger) to direct the power flow from the main grid to an EV battery is the main goal of the proposed study. Traditional methods like proportional integral control and direct power control can be used to regulate power converters. Even while these traditional methods function satisfactorily in steady state, they suffer greatly in dynamic operating environments. In order to adjust the switching states to the dynamic operating conditions, a model predictive control (MPC) has been incorporated in the suggested work. The design and performance analysis of MPC have been thoroughly simulated and displayed using the MATLAB/Simulink environment. The outcomes of the simulation have been widely shared. The necessity for intelligent and effective EV chargers linked into smart home systems has been highlighted by the quick uptake of electric vehicles (EVs). This work describes the use of finite controller-based model predictive control (FC-MPC) to create a robust control strategy for an EV charger in a smart home. To obtain excellent performance under dynamic load conditions, the suggested method combines the predictive optimization of MPC with the adaptive decision-making power of finite logic. While retaining strong performance against disruptions such changes in renewable energy and grid uncertainty, the control system guarantees optimal charging, grid stability, and low energy costs. The efficiency of the suggested FC-MPC system in providing dependable, adaptable, and efficient EV charging options for smart homes is confirmed by simulation results. It focuses on a single-phase rectifier that has two power conversion stages: DC/DC and AC/DC. In order to convert direct current (DC) to alternating current (AC) for the inverter DC bus, a buck boost converter needs grid power and a voltage source with a passive filter. Bidirectional power transfer is made possible by these converters, however the high frequency switching action puts a great deal of strain on the switches in terms of voltage and current, which could result in physical damage. Two control levels are used by the inverter: secondary control and power management. Power management transfers the power reference to the secondary control level after modifying it based on the battery's status. With the use of MATLAB simulations, this paper investigates a bidirectional buck-boost DC-DC converter that is FC-MPC controlled for battery charging and discharging applications.