Grid and Schedule Constrained Electric Vehicle Charging Algorithm Using Node Sensitivity Approach

Abstract

The growth in Plug-In Electric Vehicle (EV) poses a great challenge to utilities due to the potential impact to power distribution systems. We propose an intelligent charging method to minimize the operation cost as well as consider both constraints of power grid and customers' schedule. To address the highly non-linear behavior in the power system, a novel Node Sensitivity Approach (NSA) is proposed to approximate the sensitivity of each EV load in the grid. The simulation results show the proposed method not only achieves the minimum operation cost but also avoids violating the system constraints.