.png){kind=icon}
返回
A decoupled power flow algorithm using particle swarm optimization technique
.png){kind=icon}
PRE
AI
DOI：10.1016/j.enconman.2009.05.018.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A robust, nondivergent power flow method has been developed using the particle swarm optimization (PSO) technique. The decoupling properties between the power system quantities have been exploited in developing the power flow algorithm. The speed of the power flow algorithm has been improved using a simple perturbation technique. The basic power flow algorithm and the improvement scheme have been designed to retain the simplicity of the evolutionary approach. The power flow is rugged, can determine the critical loading conditions and also can handle the flexible alternating current transmission system (FACTS) devices efficiently. Test results on standard test systems show that the proposed method can find the solution when the standard power flows fail. (C) 2009 Elsevier Ltd. All rights reserved.
Keyword:
Power flow
Particle swarm optimization
Decoupling properties
Improvement scheme
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:
10.9
论文数:
2.0W
被引数:
11.3W
机构
引用论文
.png){kind=icon}
Chaotic particle swarm optimization for economic dispatch considering the generator constraints
PREAI
分享收藏分享收藏
查看更多内容