首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:Enhanced sunflower optimization for placement distributed generation in distribution system
  • 本地全文:下载
  • 作者:Thuan Thanh Nguyen
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2021
  • 卷号:11
  • 期号:1
  • 页码:107
  • DOI:10.11591/ijece.v11i1.pp107-113
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要:Installation of distribution generation (DG) in the distribution system gains many technical benefits. To obtain more benefits, the location and size of DG must be selected with the appropriate values. This paper presents a method for optimizing location and size of DG in the distribution system based on enhanced sunflower optimization (ESFO) to minimize power loss of the system. In which, based on the operational mechanisms of the original sunflower optimization (SFO), a mutation technique is added for updating the best plant. The calculated results on the 33 nodes test system have shown that ESFO has proficiency for determining the best location and size of DG with higher quality than SFO. The compared results with the previous methods have also shown that ESFO outperforms to other methods in term of power loss reduction. As a result, ESFO is a reliable approach for the DG optimization problem.
国家哲学社会科学文献中心版权所有