Electrical Vehicles (EVs) have a growing penetration rate in many countries aimed at the reduction of fossil fuel consumption and declining environmental issues. The high penetration rate of EVs, as new electrical energy demands, can cause operational problems for distribution networks. Therefore, designing and implementation of monitoring and management mechanisms for EVs charging is a necessity. EVs are equipped with power electronic-based chargers, bringing them a high degree of flexibility in conjugate active and reactive power control. This capability can be employed not only to reduce the adverse impacts of the high penetration rate of EVs on distribution networks operation but also to support the active and reactive management in distribution networks. In this paper, to employ EVs conjugate active and reactive power control capability, a model for central active and reactive power management in a smart distribution network is proposed. The proposed model is an optimization problem in which the objective function consists of two terms, namely, “minimizing the cost of energy” and “improving the voltage profile”, over the operation planning horizon. The constraints of the optimization problem include distribution network operation constraints and charging and discharging constraints related to the EVs batteries and chargers. This problem is modelled as a Mixed Integer Linear Programming (MILP) problem and is implemented on the 33-bus, 69-bus, and 133-bus distribution networks. The results show that the proposed model can obtain the lowest energy cost and energy loss and the best operational voltage profile in a completely acceptable calculation time. Moreover, by using the proposed model, supplying the required energy for EVs during their plugin time interval is guaranteed and, increasing the penetration rate of EVs into the network is facilitated.

电动汽车（EV）在许多国家/地区的渗透率不断提高，旨在减少化石燃料的消耗和减少环境问题。随着新的电能需求，电动汽车的高普及率会导致配电网络的运营问题。因此，设计和实现电动汽车充电监控管理机制是必要的。电动汽车配备了基于电力电子的充电器，使它们在共轭有功和无功功率控制中具有高度的灵活性。该功能不仅可以用来减少电动汽车的高普及率对配电网络运行的不利影响，而且可以支持配电网络中的主动和被动管理。在本文中，要利用电动汽车的共轭有功和无功功率控制功能，提出了一种智能配电网中央有功无功管理模型。所提出的模型是一个优化问题，其中目标函数包括两个术语，即“最小化能源成本”和“改善电压曲线”，这是整个运营计划的一部分。优化问题的约束条件包括配电网运行约束条件以及与电动汽车电池和充电器相关的充放电约束条件。该问题被建模为混合整数线性规划（MILP）问题，并在33总线，69总线和133总线的配电网络上实现。结果表明，所提出的模型可以在完全可接受的计算时间内获得最低的能量成本和能量损失以及最佳的工作电压曲线。此外，