Electric Vehicle (EV) will affect the economy and safety to the power grid, and distribution network reconfiguration is an effective measure for optimal operation of power grid. According to the characteristics of Active Distribution Network (ADN), this paper establishes an optimal reconstruction model with Distributed Generation (DG) and EV. The sitting and sizing of DG is determined by the network loss sensitivity, the multi time probability model is constructed with the output of DG and charging of EV. The network loss, Voltage Deviation Index (VSI) and the number of switching operation are set up as the multi-objective optimization functions to determine the best reconstruction scheme, and in the IEEE33 node standard distribution system, the Improved Multi-Objective Particle Swarm Optimization (IMPSO) algorithm with niche technology is used to improve the ability of global optimization for computing. The EV disordered charging and intelligent charging models are considered to verify the practicality and effectiveness of the proposed method under the comparison results of different scenarios. This work is supported by National Natural Science Foundation of China (No. 51407104) and Research Fund for Excellent Dissertation of China Three Gorges University (No. 2017YPY036).