An Adaptive Deep-Cut Ellipsoidal Algorithm Applied to the Optimization of Transmission Lines

Autor:	Marco Aurélio O. Schroeder, Marcio Matias Afonso, Eduardo Nunes Gonçalves, Rodney R. Saldanha, Rafael Alipio, André Luiz Paganotti
Rok vydání:	2015
Předmět:	Electric power transmission Materials science Transmission (telecommunications) Electric field Line (geometry) Phase (waves) Polyphase system Electrical and Electronic Engineering Topology Electrical conductor Characteristic impedance Electronic Optical and Magnetic Materials
Zdroj:	IEEE Transactions on Magnetics. 51:1-4
ISSN:	1941-0069 0018-9464
DOI:	10.1109/tmag.2014.2365141
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::97d18f0b065e57ef6601b43ec217ce05 https://doi.org/10.1109/tmag.2014.2365141 Zobrazit plný text záznamu