Transient stability assessment using artificial neural networks

被引：0

作者：

Krishna, S ^{[1
]}

Padiyar, KR ^{[1
]}

机构：

[1] Indian Inst Sci, Dept Elect Engn, Bangalore 560012, Karnataka, India

来源：

PROCEEDINGS OF IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY 2000, VOLS 1 AND 2 | 2000年

关键词：

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Online transient stability assessment(TSA) of a power system is not yet feasible due to the intensive computation involved. Artificial neural networks(ANN) have been proposed as one of the approaches to this problem because of its ability to quickly map nonlinear relationships between the input data and the output. In this paper a review of the previously published papers on TSA using ANN is presented. The paper also reports the results of the application of ANN to the problem of TSA of a 10 machine 39 bus system.

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页码：627 / 632

页数：6

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