DocumentCode :
41459
Title :
An Adaptive Deep-Cut Ellipsoidal Algorithm Applied to the Optimization of Transmission Lines
Author :
Paganotti, Andre Luiz ; Afonso, Marcio Matias ; Aurelio Oliveira Schroeder, Marco ; Alipio, Rafael Silva ; Nunes Goncalves, Eduardo ; Saldanha, Rodney R.
Author_Institution :
Electr. Eng. Postgrad. Program, Univ. Fed. de Sao Joao del-Rei, São João del-Rei, Brazil
Volume :
51
Issue :
3
fYear :
2015
fDate :
Mar-15
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a computational tool intended to calculate and minimize the electric fields at ground level of high surge impedance loading transmission lines (TLs). This type of TL achieves higher power transmission rates utilizing optimized configuration for the phase conductors. This method is advantageous over other actions taken by the utility company, such as increasing the maximum operation temperature of the line, increasing the size of the conductors, or the utilization of multiple conductors per phase. In this paper, an enhanced deep-cut ellipsoidal method is applied to find a new optimized configuration for the phase conductors. The new proposed configuration results in reduced profiles of electric fields. Two different TLs are analyzed and optimized.
Keywords :
conductors (electric); optimisation; power transmission lines; TL; computational tool; electric field; enhanced adaptive deep-cut ellipsoidal algorithm; multiple conductor utilization; optimization; phase conductor; power transmission line; surge impedance loading transmission line; Conductors; Ellipsoids; Gradient methods; Linear programming; Power transmission lines; Surges; Ellipsoidal method; high surge impedance loading (HSIL); transmission lines (TLs);
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2014.2365141
Filename :
7093517
Link To Document :
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