In this study, a new methodology has been proposed for optimal allocation and optimal sizing of a lithium-ion battery energy storage system (BESS). The main purpose is to minimize the total loss reduction in the distribution system. The optimization process is applied using a newly developed type of Cayote Optimization Algorithm (COA). The proposed technique includes two different approaches. In the first approach, the optimization for allocation and the sizing are performed one by one and in the second approach, the optimization has been done simultaneously. To analyze the proposed system, four different scenarios have been analyzed which include different conditions without/with PVs and also using single/two BESS. The results showed that using two BESS can reduce the total error of the distribution system. the results also showed that using PVs can also decrease the total losses. Finally, the proposed approach based on ICOA is compared with Firefly Algorithm (FA), Whale Optimization Algorithm (WOA), and Particle Swarm Optimization (PSO) to show the proposed method's prominence efficiency.

在这项研究中，提出了一种新方法，用于锂离子电池储能系统（BESS）的最佳分配和最佳尺寸。主要目的是最大程度地减少配电系统中的总损耗。使用新开发的Cayote优化算法（COA）类型应用优化过程。所提出的技术包括两种不同的方法。在第一种方法中，分配和大小的优化是一个接一个地执行的，而在第二种方法中，优化是同时进行的。为了分析所提出的系统，已经分析了四种不同的情况，包括在没有/有PV的情况下以及使用单/两个BESS的不同条件。结果表明，使用两个BESS可以减少配电系统的总误差。结果还表明，使用光伏发电还可以减少总损失。最后，将基于ICOA的方法与萤火虫算法（FA），鲸鱼优化算法（WOA）和粒子群优化（PSO）进行了比较，以证明该方法的突出效率。