EFFECTIVENESS OF ARTIFICIAL NEURAL NETWORKS FOR 1ST SWING STABILITY DETERMINATION OF PRACTICAL SYSTEMS

被引：29
作者：
HOBSON, E
ALLEN, GN
机构：
[1] University of South Australia
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 1994年 / 9卷 / 02期
关键词：
D O I：
10.1109/59.317625
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper presents an evaluation of the effectiveness of Artificial Neural Networks for rapid determination of critical clearing times for practical networks with varying line outages and load patterns. Studies are reported on the performance of Artificial Neural Networks which have been trained using previously-proposed and new training items. It is concluded that Artificial Neural Networks have difficulty in returning consistently accurate answers under varying network conditions.
引用
收藏
页码：1062 / 1068
页数：7
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