Power system equivalent based on an artificial neural network

被引：0

作者：

Pavic, I ^{[1
]}

Hebel, Z ^{[1
]}

Delimar, M ^{[1
]}

机构：

[1] Univ Zagreb, Fac Elect & Comp Engn, Dept Power Syst, Zagreb 41000, Croatia

来源：

ITI 2001: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACES | 2001年

关键词：

power system; external system equivalents; neural networks; contingency analysis;

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：

Very often, insufficient data is exchanged between neighboring powers systems for substituted with the power system equivalents. In this paper the possibilities of using an artificial neural network as the external power system equivalent is explored, to be used for load flow and contingency analysis within the internal power system. The experiment is performed on a standard IEEE 24-node network which is, for the purposes of testing, divided into two systems (the internal and the external) and the external system is modeled by a neural network. The results are presented and discussed.

引用

页码：359 / 365

页数：7

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