A Hybrid Genetic Algorithm and Vector Fitting Based Approach for Approximation of Propagation Function of Transmission Lines

A hybrid genetic algorithm and vector fitting based approach is proposed for the approximation of the propagation function of transmission lines. In this work, the process of guessing the number of poles and then adjusting corresponding delay times in the conventional method is improved by the genet...

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Main Authors: Yu Yue, Ge Qingyu, Jiao Chongqing
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_01044.pdf
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spelling doaj-2f7e8101a15e43c786caca6d7e4cab832021-04-02T16:04:43ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011850104410.1051/e3sconf/202018501044e3sconf_iceeb2020_01044A Hybrid Genetic Algorithm and Vector Fitting Based Approach for Approximation of Propagation Function of Transmission LinesYu Yue0Ge Qingyu1Jiao Chongqing2State Key Laboratory of Power Grid Safety and Energy Conservation, Relay Protection Research Department, China Electric Power Research InstituteState Key Laboratory of Alternate Electric Power System with Renewable Energy Sources, North China Electric Power UniversityState Key Laboratory of Alternate Electric Power System with Renewable Energy Sources, North China Electric Power UniversityA hybrid genetic algorithm and vector fitting based approach is proposed for the approximation of the propagation function of transmission lines. In this work, the process of guessing the number of poles and then adjusting corresponding delay times in the conventional method is improved by the genetic algorithm. The proposed approach can result in a better approximation of propagation function, which is proven by a successful implementation to an overhead single core coaxial cable.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_01044.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Yu Yue
Ge Qingyu
Jiao Chongqing
spellingShingle Yu Yue
Ge Qingyu
Jiao Chongqing
A Hybrid Genetic Algorithm and Vector Fitting Based Approach for Approximation of Propagation Function of Transmission Lines
E3S Web of Conferences
author_facet Yu Yue
Ge Qingyu
Jiao Chongqing
author_sort Yu Yue
title A Hybrid Genetic Algorithm and Vector Fitting Based Approach for Approximation of Propagation Function of Transmission Lines
title_short A Hybrid Genetic Algorithm and Vector Fitting Based Approach for Approximation of Propagation Function of Transmission Lines
title_full A Hybrid Genetic Algorithm and Vector Fitting Based Approach for Approximation of Propagation Function of Transmission Lines
title_fullStr A Hybrid Genetic Algorithm and Vector Fitting Based Approach for Approximation of Propagation Function of Transmission Lines
title_full_unstemmed A Hybrid Genetic Algorithm and Vector Fitting Based Approach for Approximation of Propagation Function of Transmission Lines
title_sort hybrid genetic algorithm and vector fitting based approach for approximation of propagation function of transmission lines
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description A hybrid genetic algorithm and vector fitting based approach is proposed for the approximation of the propagation function of transmission lines. In this work, the process of guessing the number of poles and then adjusting corresponding delay times in the conventional method is improved by the genetic algorithm. The proposed approach can result in a better approximation of propagation function, which is proven by a successful implementation to an overhead single core coaxial cable.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_01044.pdf
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