Optimal Planning of Charging Piles Considering Temporal-spatial Characteristics of Charging Load

In order to adapt the rapid development of electric vehicles (EVs) in the future and reduce negative impacts of charging load on distribution networks, the reasonable charging facilities configuration of EVs is particularly important. This paper proposes an optimal planning method of charging piles. Firstly, a forecasting model of charging load is established based on the concept of trip chain and Monte Carlo Simulation Method (MCSM). Charging load profiles in different locations is then calculated. An optimal planning model is established to optimize the configuration of charging piles. Simulation results show that the proposed method can decrease both peak-valley difference and voltage deviation after the access of EV. This study can accurately forecast charging load demand in residential area, workplace and shopping center, and provide guidance for future planning of charging piles.