Rapid growth of electric vehicles (EVs) has necessitated the devolvement of sustainable and easily accessible charging stations. Transport sector electrification and increased popularity of EVs make researcher to search for charging stations. In this paper, a new methodology regarding electric vehicle charging spot is proposed. In the study, allocation of the parking lot and capacitor is suggested for congestion management along with reactive power compensation. To this end, sensitivity analysis is performed by evaluating the inverse Jacobian matrix from the power flow studies. In order to optimally determine the size of parking lot, biogeography‐based optimization (BBO) technique is adopted. The effectiveness of the anticipated technique is tested on adapted IEEE 34‐bus distribution network. The outcome attained by BBO technique is equated with particle swarm optimization.

中文翻译：

---

在智能配电网中优化电动汽车充电点和电容器的分配，以进行拥堵管理

电动汽车（EV）的快速发展已迫使必须转移可持续且易于使用的充电站。运输部门的电气化和电动汽车的日益普及使研究人员寻找充电站。本文提出了一种关于电动汽车充电点的新方法。在研究中，建议对停车场和电容器进行分配，以进行拥堵管理以及无功补偿。为此，通过评估潮流研究中的逆雅可比矩阵进行敏感性分析。为了最佳地确定停车场的大小，采用了基于生物地理的优化（BBO）技术。预期技术的有效性已在经过修改的IEEE 34总线配电网络上进行了测试。