Application of artificial intelligence. Techniques to obtain robust dynamic equivalents

被引：0

作者：

Garcia-Valle, R ^{[1
]}

Ramirez, JM ^{[1
]}

机构：

[1] Univ Glasgow, Dept Elect & Elect Engn, Glasgow G12 8LT, Lanark, Scotland

来源：

NEUREL 2004: SEVENTH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, PROCEEDINGS | 2004年

关键词：

artificial intelligence; Artificial Neural Networks; dynamic equivalents;

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：

This paper presents an application of Artificial Neural Networks (ANN) to Power Systems. ANN are tested to construct Dynamic Equivalents, which is considered a hard task in the context of Power Systems. The main objective is to reproduce the complex voltage at frontier nodes. The simulation results prove the applicability and robustness of this innovative approach.

引用

页码：51 / 54

页数：4

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