Day Ahead Charging Coordination of Electric Vehicles to Improve Load Profile

The growing concern about global climatic changes and fossil fuel depletion calls for a shift from conventional modes of transportation to electric vehicles (EV). The idea of bidirectional interaction between grid and Electric vehicle has brought the V2G ,V2H etc. technologies . Bidirectional chargers adds the benefit of EVs by enabling energy transfer from vehicle to grid (V2G) or vehicle to home (V2H) in addition to charging from grid to vehicle(G2V). The adoption and diffusion of EV’s to the power grid is beneficiary from the environmental perspective but they pose a serious impact on the power system. The major issues includes: The peak demand for the electrical grid will increase, the distribution transformer would be overloaded, and the power quality and the reliability of the whole system would be degraded. A possible panacea for mitigating these impacts is to make use of smart charging/discharging capability of EV’s. This paper proposes a day ahead charging algorithm for load leveling and load shifting thus improving the load curve ,giving due importance to providing cost benefits to the consumer. The algorithm depends only on the relative shape of the forecasted load curve and hence flexible. The charging/discharging schedules of EV’s are developed using Lingo optimization software.