Artificial Neural Network for Power System Static Security Assessment: A Survey

被引：0
|
作者：
Saeh, I. S. [1 ]
Mustafa, M. W. [1 ]
机构：
[1] Univ Teknol Malaysia, Fac Elect Engn, Utm Johor Bahru 81310, Johor, Malaysia
来源：
JURNAL TEKNOLOGI | 2014年 / 66卷 / 01期
关键词：
Artificial neural network; hybrid techniques; static security assessment;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
According to the growth rate of Machine Learning (ML) application in some power system subjects, this paper introduce a comprehensive survey of Artificial Neural Network (ANN) in Static Security Assessment (SSA). Advantages and disadvantages of using ANN in above mentioned subjects and the main challenges in these fields have been explained, too. We explore the links between the fields of SSA and NN in a unified presentation and identify key areas for future research. Recent developments in the solution methods for SSA are reviewed. Hybrid techniques in SSA are also discussed and reviewed and future directions for research are suggested.
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页数：7
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