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

被引：0
|
作者：
Yu, Yue [1 ]
Ge, Qingyu [2 ]
Jiao, Chongqing [2 ]
机构：
[1] China Elect Power Res Inst, Relay Protect Res Dept, State Key Lab Power Grid Safety & Energy Conserva, Beijing 100192, Peoples R China
[2] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
来源：
2020 INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND BIOENGINEERING (ICEEB 2020) | 2020年 / 185卷
关键词：
D O I：
10.1051/e3sconf/202018501044
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
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页数：4
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