Open AccessApproximation of Propagation Function of Transmission Lines Using Vector Fitting With Aid of a Hybrid Genetic Algorithm and Differential Evolution Algorithm
Author(s) -
Yang Yu,
Y. J. Li,
D. H. Wang,
Qingyu Ge,
Chongqing Jiao,
Jianyong Sun
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/657/1/012110
Subject(s) - algorithm , overhead (engineering) , function (biology) , genetic algorithm , differential evolution , computer science , differential (mechanical device) , electric power transmission , mathematics , mathematical optimization , engineering , evolutionary biology , biology , operating system , electrical engineering , aerospace engineering
Vector fitting is a powerful tool for function approximation. However, when it is adopted to approximate the propagation function of transmission lines, the number of poles and corresponding delay times need to be determined beforehand. The conventional determination method is inefficient. In this work, the parameters are determined by a hybrid genetic algorithm and differential evolution algorithm (HybGADE). 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.