Intelligent Coordinated Charging of Plug in Electric Vehicles for G2V and V2G Transactions

Abstract

The electrification of plug-in electric vehicles (PEVs) will get a substantial influence on the power system because of the rise in the consumption of electricity. So, it is essential to schedule the charging and draining of batteries of PEVs intelligently. This paper proposes two optimal scheduling schemes such as a globally optimal scheduling scheme and an equal allocation scheduling scheme for G2V and V2G transactions of PEVs. Firstly, the global scheduling optimization problem is developed such that the overall cost of all the PEVs is minimized by optimizing the charging power of PEVs considering the G2V and V2G transactions throughout the day. However, the global optimal solution depends on the future load and random arrival and departure time of PEVs throughout the day. Also an equal allocation strategy is proposed in this work for a comparison with the globally optimal scheduling scheme. The equal allocation scheme is found effective in accommodating a large number of PEVs. The global optimal scheduling scheme and the equal allocation scheme are simulated and analyzed in this work. Simulation results validate the effectiveness of the suggested model.