...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Energy Storage >Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm
【24h】

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

机译：使用鲸鱼优化算法优化电池储能系统的布局和尺寸以减少损耗

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

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.
机译：本文提出了一种用于优化电池储能系统（BESS）的位置和大小的方法，以减少配电网中的功率损耗。介绍了一种称为“鲸鱼优化算法”（WOA）的元启发式优化算法来执行优化。在本文中，提出了两种不同的方法来实现BESS的最佳分配。第一种方法是分两步获得最佳位置和大小，而第二种方法同时优化位置和大小。通过与萤火虫算法和粒子群优化算法这两种算法进行比较，验证了所提技术的性能。结果表明，WOA在获得最佳的位置和BESS在配电网络中减小功耗方面具有出色的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号