.png){kind=icon}
返回
Contingency ranking for voltage stability using a genetic algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/S0378-7796(97)01162-0.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 a new contingency ranking approach based on genetic algorithms. It formulates contingency ranking as an optimization problem with the objective of finding all critical cases. The genetic algorithm was selected as the search method because of its ability to find the optimal or near optimal solution while only evaluating a small percent of the problem space. In addition to limiting the number of evaluated contingencies, this approach can encompass other techniques intended to reduce the computational burden of analyzing each contingency. The severity of a particular contingency is measured by the minimum singular value of the power flow Jacobian. Test results showing the effectiveness of the proposed approach on two test systems are included. (C) 1997 Elsevier Science S.A.
Keyword:
genetic algorithm
voltage stability
contingency ranking
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:
4.2
论文数:
1.2W
被引数:
2.2W
机构
暂无机构信息
引用论文
.png){kind=icon}
N-Hydroxy-N′-aminoguanidines as anti-cancer lead molecule: QSAR, synthesis and biological evaluation
PREAI
分享收藏The Homes of Callers to a Telephone Counselling Service: Towards a Mapping of Community in the City
PREAI
分享收藏 没有更多内容
没有更多内容