Artificial neural network approach in determining voltage stability in power system networks

被引：0
|
作者：
Arunagiri, A [1 ]
Venkatesh, B [1 ]
Morris, S [1 ]
机构：
[1] Multimedia Univ, Fac Engn, Cyberjaya 63100, Malaysia
来源：
ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Voltage stability problems have been one of the major concerns for electric utilities as a result of system heavy loading. As electric power systems are operated under increasingly stressed conditions, the ability to maintain voltage stability becomes a growing concern. This paper reports on an investigation on the application of Artificial Neural Networks (ANNs) in Voltage stability assessment. A multi layer feed forward ANN with error back propagation learning is proposed for calculation of Voltage Stability Index (L). Extensive testing of the proposed ANN based approach indicates its viability for power system voltage assessment. Test results are presented on two sample power systems.
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页码：2304 / 2307
页数：4
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