Open AccessOptimization of minimum crossing distance of transmission line based on multi objective ant colony algorithm
Author(s) -
Qiaoyun Xu,
Ji Ming Tian,
Zhenpeng Tang,
Ronghuan Mai,
Yuancheng Qin
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2195/1/012021
Subject(s) - ant colony optimization algorithms , span (engineering) , line (geometry) , transmission line , catenary , algorithm , transmission (telecommunications) , computer science , function (biology) , reliability (semiconductor) , ant colony , mathematics , engineering , telecommunications , structural engineering , power (physics) , physics , geometry , quantum mechanics , evolutionary biology , biology
In the test of cross span distance of transmission line, the estimation of cross span distance is not accurate, which leads to the increase of subsequent test error. Therefore, a test method of transmission line cross span distance based on a multi-objective ant colony algorithm is proposed. Statistics of the actual information of different crossovers including trees and forest areas. Considering the transmission line as a flexible cable, the objective function for estimating the cross span distance of the transmission line is constructed according to the catenary model of the flexible cable model. On this basis, the multi-objective ant colony algorithm is used to solve the function, and the optimization results of transmission line crossing distance are output. The experimental results show that the method has high accuracy, small error, short time and reliability.