Transmission Expansion Planning Systems Using Algorithm Genetic with Multi-Objective Criterion

被引：0
|
作者：
Jimenez, J. T. [1 ]
Guardado, J. L. [2 ]
Cabrera, N. G. [1 ]
Rodriguez, J. R.
Figueroa, F.
机构：
[1] Inst Tecnol Super Irapuato, Irapuato, Mexico
[2] Inst Tecnol Morelia, Morelia, Michoacan, Mexico
来源：
IEEE LATIN AMERICA TRANSACTIONS | 2017年 / 15卷 / 03期
关键词：
Planning; Genetics Algortihms; Transmission syste; multiobjetive; optimization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper the problem of planning the expansion of the transmission network (PERT) by means of a genetic algorithm on principles of multi-objective optimization (AGM) resolved. The proposed model uses an appropriate coding to optimize the PERT. In addition, appropriate genetic operators developed for efficient search space of feasible solutions. The model solves simultaneously: Minimize investment costs PERT, improve voltage levels at nodes and minimize losses on the lines of the transmission system. The AGM is tested in the system Garver 6 nodes and 24 nodes system IEEE_RTS achieving the best solutions.
引用
收藏
页码：563 / 568
页数：6
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