A Methodology to Model Daily Charging Load in the EV Charging Stations Based on Monte Carlo Simulation
Xinwen Ni, Kwok Lun Lo
Abstract
Electrical vehicle (EV) charging station is an important facility where EV owners can recharge their vehicles. With increasing penetration of EVs, charging loads in EV charging stations are increasing and consequently have dramatic impacts on the distribution systems. Under this condition, load modeling of the charging station is of great importance to relative research work such as evaluation of impacts of the integration of charging stations, planning for charging networks and so on. In this paper, random factors that can affect daily EV charging load are firstly analyzed in detail. Secondly, a Monte-Carlo-simulation based methodology is proposed to model daily charging load in the EV charging station with considerations of random factors. Another contribution is to design a threshold of failed recharge attempts in the Monte Carlo simulation. In simulation, this parameter can be adjusted according to the amounts of the EVs that are charged in the charging station during a day. Simulation results validate the methodology proposed in this paper.