4.7 Article

Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm

期刊

JOURNAL OF ENERGY STORAGE
卷 26, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.est.2019.100892

关键词

Meta-heuristic optimization algorithm; Whale optimization algorithm; BESS

资金

  1. Long Term Research Grant (LRGS), Ministry of Education Malaysia
  2. EPSRC [EP/S00078X/1, EP/P001173/1] Funding Source: UKRI

向作者/读者索取更多资源

This paper proposes an approach for optimal placement and sizing of battery energy storage system (BESS) to reduce the power losses in the distribution grid. A meta-heuristic optimization algorithm known as Whale Optimization Algorithm (WOA) is introduced to perform the optimization. In this paper, two different approaches are presented to achieve the optimal allocation of the BESS. The first approach is to obtain the optimal location and sizing in two steps while the second approach optimizes both location and sizing simultaneously. The performance of the proposed technique has been validated by comparing with two other algorithms namely firefly algorithm and particle swarm optimization. The results show that WOA has outstanding performance in attaining the optimal location and sizing of BESS in the distribution network for power losses reduction.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据