Electrical network optimization by genetic algorithm

被引：5

作者：

Pavluchenko, D. A. ^{[1
]}

Manusov, V. Z. ^{[1
]}

机构：

[1] Novosibirsk State Tech Univ, Dept Power Supply Syst, Novosibirsk 630092, Russia

来源：

EUROPEAN TRANSACTIONS ON ELECTRICAL POWER | 2006年 / 16卷 / 06期

关键词：

electrical networks; optimization problems; genetic algorithms;

D O I：

10.1002/etep.104

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 article is devoted to the electrical network optimization by genetic algorithms-the optimization method based on the simulation of the biological evolution. This problem is a many-dimensional nonlinear discrete optimization problem, which requires the usage of heuristic or combinatorial algorithms. The mathematical model and algorithm of the given problem are developed. The presented methodology is applied for the IEEE 30-bus test system. Copyright (c) 2006 John Wiley & Sons, Ltd.

引用

页码：569 / 576

页数：8

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