Electric vehicle (EV) is essential to reduce the emission caused by conventional vehicle. Placement of electric vehicle charging station (EVCS) is crucial to fulfilling the charging demand at different locations maintaining the minimum negative impact on the power system network. In this article, placement of EVCS has been planned in a radial distribution network superimposed with a road network. The weightage for different places have been considered as per charging demand which depends on the supermarket, road junctions, residences etc. The objectives are minimization of the energy loss, voltage deviation of the power system network and minimization of the land cost with maximum weightage to serve maximum EV with minimum establishment cost. The area has been divided into three zones to establish an EVCS at each zone to make it distributed. Uncertainties related to EV have been considered in this work using 2m Point Estimation method (2m PEM). The optimization problem has been solved using Differential Evolution (DE) and Harris Hawks Optimization (HHO) techniques.

电动汽车（EV）对于减少传统汽车造成的排放至关重要。电动汽车充电站（EVCS）的放置对于满足不同位置的充电需求至关重要，同时保持对电力系统网络的负面影响最小。在本文中，已将EVCS放置在与道路网络叠加的径向分布网络中。根据超级市场，道路交叉口，住宅等的充电需求，已考虑了不同地点的权重。目标是最大程度地降低能量损失，电力系统网络的电压偏差和最小化土地成本。以最低的建立成本提供最大的EV。该区域被划分为三个区域，以便在每个区域建立一个EVCS使其分布。在这项工作中，使用2m点估计方法（2m PEM）考虑了与EV相关的不确定性。优化问题已使用差分进化（DE）和哈里斯·霍克斯优化（HHO）技术解决。