Demand Dispatch Based on Smart Charging of Plug-in Electric Vehicles

Abstract

Uncontrolled charging of Plug-in Electric Vehicles (PEVs) has a negative impact on the peak load and brings potential challenges to electric utility. In this paper, we apply a statistical load model of PEVs charging demand to simulate the driving habits of PEV users, and then develop the controlled charging, i.e. demand dispatch based on smart charging of PEVs, in which two smart charging strategies are proposed, including the valley-searching and the interruptible charging strategies. Simulation results for a residential area show that, the demand dispatch of PEVs based on smart charging has many significant advantages over the uncontrolled charging in the peak shaving, valley filling, smoothing of the load profile, and releasing of generation capacity of electric utility. Our work might shed new light on the smart charging of PEVs and the resulted day-ahead generation scheduling where PEVs loads are involved.