FUZZY BASED DC FAST CHARGING ARCHITECTURE IN A MICROGRID WITH VEHICLE TO GRID AND GRID TO VEHICLE TECHNOLOGY

Abstract

Electric vehicle (EV) batteries may be crucial for storing potential energy. They are able to feed extra energy back into the grid. Batteries for electric vehicles help in power management in this way. The required structure and control plan must be created in order to realize this objective. This paper provides a framework for building an electric car rapid charging system that connects to the grid and vice versa. For connecting electric cars, a DC test system with a fast-charging platform is devised. Simulation is used to validate V2G-G2V power transfer. The test findings show that EV batteries may actively control power in the micro-grid while they are functioning in G2V-V2G modes. In this thesis, a Vehicle to Grid (V2G) system is introduced, which aims to manage the charging and discharging processes of Electric Vehicles (EVs) and two-test systems. The purpose of this system is to assist with peak power shaving and ensure voltage stability within the grid. It is crucial to avoid uncontrolled charging and discharging of EVs, as it can result in voltage fluctuations and disturbances to the grid. However, if the charging and discharging operations are intelligently regulated, EVs can contribute to the overall power network. To achieve this goal, fuzzy logic controllers (FLC) are employed in this thesis to govern the power flow between the grid and the EVs. The primary focus of this thesis is on designing a control architecture for a V2G and G2V station. This architecture enables the utilization of EV batteries to enhance the grid's voltage stability.