The provision of a safe environment has led to the growth of electric vehicles (EVs), whose propagation in the market depends on features such as price, battery technology, economy, and improvement of charging stations. This paper proposes a charging station for plug-in electric vehicles (PEVs) connected to the distribution system, along with the energy storage system's batteries, diesel generator, and photovoltaic panels. The charging facilities are also designed and optimized at three levels of fast, medium, and slow speeds. Since this model integrates many decision variables and cannot be accurately solved by traditional mathematical methods, a new modified optimization algorithm is presented. The modified teaching-learning-based optimization (TLBO) based on orthogonal learning (OL), or OLTLBO, is proposed to solve the optimization problem. The results confirm that the model successfully uses all the available options to design the EVCS.

提供安全环境导致了电动汽车 (EV) 的增长，其在市场上的传播取决于价格、电池技术、经济性和充电站的改进等特性。本文提出了一个连接到配电系统的插电式电动汽车 (PEV) 充电站，以及储能系统的电池、柴油发电机和光伏电池板。充电设施也进行了快、中、慢三个级别的设计和优化。由于该模型集成了许多决策变量，传统数学方法无法准确求解，提出了一种新的改进优化算法。提出了基于正交学习 (OL) 或 OLTLBO 的改进的基于教学的优化 (TLBO) 来解决优化问题。