.png){kind=icon}
返回
Using the gray wolf optimizer for solving optimal reactive power dispatch problem
.png){kind=icon}
PRE
AI
DOI：10.1016/j.asoc.2015.03.041.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents the use of a new meta-heuristic technique namely gray wolf optimizer (GWO) which is inspired from gray wolves' leadership and hunting behaviors to solve optimal reactive power dispatch (ORPD) problem. ORPD problem is a well-known nonlinear optimization problem in power system. GWO is utilized to find the best combination of control variables such as generator voltages, tap changing transformers' ratios as well as the amount of reactive compensation devices so that the loss and voltage deviation minimizations can be achieved. In this paper, two case studies of IEEE 30-bus system and IEEE 118-bus system are used to show the effectiveness of GWO technique compared to other techniques available in literature. The results of this research show that GWO is able to achieve less power loss and voltage deviation than those determined by other techniques. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Gray wolf optimizer
Loss minimization
Voltage deviation minimization
Meta-heuristic technique
Optimal reactive power dispatch
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.6
论文数:
1.4W
被引数:
4.8W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏
MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and EducationMATPOWER: 用于电力系统研究和教育的稳态操作，规划和分析工具
OAAI
OAAI分享收藏
查看更多内容