Transmission lines optimization by the elitist non-dominated multi-objective evolutionary algorithm

Transmission lines optimization by the elitist non-dominated multi-objective evolutionary algorithm

This paper presents a methodology to increase the transmission lines (TLs) capacity and, simultaneously, decrease the intensity of electric field produced by its conductors in the ground level. A methodology for ascertaining whether Corona Loss is within acceptable limits is also developed. Such met...

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Bibliographic Details
Published in:2017 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF) Book of Abstracts pp. 1 - 2
Main Authors: Santos, P. H. C., Afonso, M. M., Alipio, R., Schroeder, M. O.
Format: Conference Proceeding
Language:English
Published: IEEE 01-09-2017
Subjects:
Conductors
Electric Field at Ground Level
Electric fields
Optimization
Optmization
Power transmission lines
Sociology
Statistics
Surface Eletric Field
Surface impedance
Surge Impedance Loading
Transmission Lines
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Summary:This paper presents a methodology to increase the transmission lines (TLs) capacity and, simultaneously, decrease the intensity of electric field produced by its conductors in the ground level. A methodology for ascertaining whether Corona Loss is within acceptable limits is also developed. Such method aims to improve the performance of the TLs and it is based on analytical electromagnetic modeling and an optimization process. The optimization is achieved through a multi-objective stochastic optimization method called Elitist Non-Dominated Multi-Objective Evolutionary Algorithm (NSGA-II).
DOI:10.1109/ISEF.2017.8090725