Optimal location and operation of battery energy storage system in the distribution system for reducing energy cost in 24‐hour period,International Transactions on Electrical Energy Systems

当前位置： X-MOL 学术 › Int. Trans. Electr. Energy Syst. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Optimal location and operation of battery energy storage system in the distribution system for reducing energy cost in 24‐hour period
International Transactions on Electrical Energy Systems ( IF 1.9 ) Pub Date : 2021-03-11 , DOI: 10.1002/2050-7038.12861
Trieu Ngoc Ton ₁ , Thuan Thanh Nguyen ₂ , Viet Anh Truong ₁ , Phan‐Tu Vu ₃

Affiliation

This article presents the problem of optimizing position and operating power of battery energy storage system (BESS) in the distribution system for the 24‐hour period. Wherein, the surveyed period is divided into small periods of peak, standard, and off‐peak hours. The goal is to find the optimal node for installation of BESS and its power in each interval to reduce the electricity purchasing cost and the cost of energy loss. The cuckoo search algorithm (CSA) is mapped to find the optimal parameters of BESS, and its efficiency is compared with that of genetic algorithm, sunflower optimization, and pathfinder algorithm. The efficiency of the proposed problem has been evaluated on two test systems. The obtained results show that the proposed problem and method have ability to reduce energy cost as well as contribute to reduce peak loads during peak hours in the 24‐hour period. The results also show that CSA is an effective tool for the problem of optimization position and power of BESS.

中文翻译：

电池储能系统在配电系统中的最佳位置和操作，可降低24小时内的能源成本

本文提出了在24小时内优化配电系统中电池储能系统（BESS）的位置和运行功率的问题。其中，调查时段分为高峰时段，标准时段和非高峰时段的小时段。目的是找到在每个间隔中安装BESS及其功率的最佳节点，以减少购电成本和能量损失成本。将布谷鸟搜索算法（CSA）映射到BESS的最佳参数，并将其效率与遗传算法，向日葵优化和探路者算法进行比较。已在两个测试系统上评估了所提出问题的效率。所得结果表明，所提出的问题和方法具有降低能源成本的能力，并有助于减少24小时高峰时段的高峰负荷。结果还表明，CSA是解决BESS优化位置和功能问题的有效工具。

更新日期：2021-05-03

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11