Study on the impact of electric vehicles charging load integrated into distribution network based on analytic hierarchy process and probabilistic simulation

The charging load of electric vehicles (EV) often changes with time and space. The basement of charging station planning and management of EVs charging and discharging is to assess the impact between the EV and the distribution network, therefore, it is necessary to use the measured statistic data to simulate the charging load’s uncertainty. According to the difference between the charging load of different types of EVs on time and space, a classification framework which can reflect the characteristics of EVs charging load is proposed by the hierarchy classification. Then the proportion of various EVs integrated into the distribution grid can be determined on the basis of the analytic hierarchy process. Combined with the Monte Carlo simulation of charging load, the paper builds an assessment method to evaluate the impacts of EVs on the distribution grid. Finally, based on the distribution network load data of one place and the IEEE-34 node example, the assessment and analysis of the impact on distribution network caused by EVs with different charging methods is made. And the results show that the distribution grid load impacts could be reduced effectively through the appropriate configuration of EVs proportion with different charging methods.