Plug-in electric vehicle control in smart grid

In this study, the penetration of Plug-in Electric Vehicle (PEV) is considered as a solution to minimize the variance of power load, as well as its ability to improve the efficiency and reliability of the power grid and to reduce carbon emission. The studied PEV is powered by Lithium-ion battery, which is characterized by its storage capacity and high energy densities. In this context, a new control strategy based on “PEV control algorithm” is investigated to detect the presence of the PEV and to monitor it into two operating modes: grid-to-vehicle (G2V) mode whose battery-involved PEV can absorb the excessive electric power from the grid in case of lack of load demand (during the off-peak hours), or vehicle-to-grid (V2G) mode whose PEV can feedback the stored power to the grid when the demand is high or in situations of poor electricity generation (during peak hours), ensuring consequently a smooth power load variance. The system is simulated by using MATLAB software and results are presented in order to show the efficiency of this control strategy.