Coordinated charging method of electric vehicles to deal with uncertainty factors

An improved coordinated charging method was proposed to deal with numerous electric vehicles´ (EVs´) uncertainty charging habits in this work, this method is an optimization model taking EVs´ charging start time and charging power as the control variables. In the model users´ charging habit was represented by Binomial distribution and the EVs´ uncertainty charging demand was imitated by the Monte Carlo Simulation (MCS) method. Taking a classical load profile and driving data of Beijing city as example, the effects of uncertainty charging habit, uncertainty charging power to EVs´ charging load demand and distribution power load were investigated. Study found that charging start time and charging power can be combined to regulate EVs´ charging power load to meet users´ charging energy demand as well as reduce the impact charging load on distribution network. After simulating, the superiority of the charging load regulation strategy proposed in this paper was verified.