ARTIFICIAL NEURAL NETWORKS FOR POWER-SYSTEM STEADY-STATE VOLTAGE INSTABILITY EVALUATION

被引：26

作者：

JEYASURYA, B

机构：

[1] Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 1994年 / 29卷 / 02期

关键词：

ARTIFICIAL NEURAL NETWORK; VOLTAGE INSTABILITY EVALUATION; VOLTAGE COLLAPSE PREDICTION;

D O I：

10.1016/0378-7796(94)90065-5

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：

As power systems are operated under increasingly stressed conditions, the ability to maintain voltage stability becomes a growing concern. This paper presents the application of artificial neural networks for on-line voltage stability evaluation in modern energy control centres. An artificial neural network is proposed to provide an energy measure which is an indication of the power system's proximity to voltage collapse. Test results are presented on a sample power system.

引用

页码：85 / 90

页数：6

共 26 条

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