Ga-based passive loop optimization for magnetic field mitigation of transmission lines

被引：11
|
作者：
Cruz, Pedro [1 ]
Riquelme, Jesus M. [1 ]
de la Villa, Antonio [1 ]
Martinez, Jose L. [1 ]
机构：
[1] Escuela Super Ingn Camino Los Descubrimientos, Dept Ingn Elect, E-41092 Seville, Spain
来源：
NEUROCOMPUTING | 2007年 / 70卷 / 16-18期
关键词：
magnetic field; passive loop; compensated loop; genetic algorithm; mitigation; reduction factor;
D O I：
10.1016/j.neucom.2006.05.016
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 a systematic method to assist in the design of passive loops with the aim of mitigating the magnetic field generated by overhead transmission lines. The procedure is based on a two-dimensional (2D) modeling of the magnetic field, using a genetic algorithm (GA) to obtain the optimal mitigation design both for non-compensated and compensated coils. The proposed technique is applied to a horizontal line using three different passive mitigating configurations. Numerical results of the convergence and mitigation effectiveness, as well as discussion of the results, are provided. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码：2679 / 2686
页数：8
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