Optimized Charge Scheduling of Plug-In Electric Vehicles using Modified Placement Algorithm

Electric Vehicles (EV) are found to be promising alternatives for IC engine vehicles as it significantly reduces the fossil fuel usage and in turn, the environmental issues such as CO2 emission, global warming caused by burning the fuel. Energy Storage System (ESS) is the heart of the EV and the batteries need to be charged in a regular interval or upon requirement for the operation of vehicle. EVs are connected to the charging station for charging and the charging is generally scheduled based on the given conditions for optimized charging. The scheduling algorithm creates a charging profile for the EVs to charge the batteries in such a way to meet the objectives of scheduling. This paper presents the electric vehicle charge scheduling using Modified Placement algorithm. The objective of the proposed algorithm is to minimize the cost of charging. The algorithm is developed in MATLAB. Electric Vehicles with different power rating and rate of charging are selected to study the performance and accuracy of scheduling algorithm. The charge scheduling of selected vehicles are analyzed based on Time of Use Pricing (ToUP) tariff scheme.