Title :
Genetic algorithms based technique for the optimization of 34.5 and 138 kV overhead lines power capability
Author :
Marsicano, A.P. ; Tavares, C.E. ; Oliveira, J.C. ; Resende, J.W. ; Andrade, D.A. ; Nord, I.
Author_Institution :
Electr. Eng. Fac., Fed. Univ. of Uberlandia, Uberlandia
Abstract :
This paper presents approach to optimize physical arrangements for electrical power system overhead distribution lines. The technique employs the genetic Algorithms Theory to find the best geometric arrangement by weighting the optimal phase and sub-conductors spacing as well as the line heights aiming at achieving the maximum power at the end receiver. In order to emphasize the procedure, which seeks for the best distribution line configuration as far as power transmission capability is concerned; the optimization methodology is applied to typical 34.5 and 138 kV overhead lines.
Keywords :
genetic algorithms; power overhead lines; end receiver; genetic algorithm based technique; geometric arrangement; optimization methodology; overhead lines power capability; power transmission capability; subconductors spacing; voltage 138 kV; voltage 34.5 kV; Conductors; Equations; Genetic algorithms; Impedance; Optimization methods; Power distribution lines; Power systems; Power transmission; Power transmission lines; Surges; Electrical Power Systems; Genetics algorithms; Optimization; Overhead Distribution Lines;
Conference_Titel :
Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES
Conference_Location :
Bogota
Print_ISBN :
978-1-4244-2217-3
Electronic_ISBN :
978-1-4244-2218-0
DOI :
10.1109/TDC-LA.2008.4641807
