Realisation of Automation for Vehicle to Grid Charging and its impact on grid

This paper presents and emphasis E-vehicle charging process automation based on optimization between the grid and vehicle by considering the real time constraints in charging and discharging process. Due to increase in E- vehicle and more demand for electricity, the vehicle battery charging process must be automated to reduce the impact on the grid. The real time parameters such as charging cost, Load demand on the grid, distance from the grid to vehicle and demand of the vehicles are primarily considered in this study. Actor-critic algorithm is used for the automation of Electric Vehicle charging and it is correlated with the vehicle data such as cost of charging, vehicle demand and grid demand for assessing the switching response and for improving the accuracy in results. The load variations of real and reactive power on various types of configurations such as domestic, industrial and vehicle connecting to the grid throughout the day has been done using IEEE 33 standard bus system. Frequency analysis of vehicle charging, grid stability analysis, sag and swell voltage conditions during the faulty conditions have been analysed using IEEE 33 standard bus system using MATLAB. Based on the outcome of the simulation study an embedded hardware proto type model was developed for implementing E- vehicle charging automation concept proposed in this paper.