Estimation of distribution system capability for accommodating electric vehicles

Abstract

The increasing penetration of electric vehicles (EVs) brings out great challenges to the performance of distribution systems (DSs). To address these challenges, determining the maximum hosting capacity of EVs in DSs becomes an important task for DS operators. In this work, a new methodological framework is proposed to determine the maximum capacity of DSs for accommodating EVs. For this aim, two typical charging scenarios, namely uncontrolled and controlled charging schemes are taken into consideration. In the uncontrolled charging scenario, use load profile of EVs and additional available power (AAP) to determine the maximum hosting capacity. A probabilistic method is utilized to simulate the EV load profiles by using the data of daily travel distance, arrival time and departure time. In the controlled charging scenario, the maximum hosting capacity is calculated by the daily AAP and the energy consumption of EVs charging. A hybrid algorithm based on Monte Carlo simulations is used to determine the maximum capability of DSs for accommodating EVs. The evaluation results confirm the effectiveness of the proposed method.