Optimization of electric and magnetic field emissions produced by independent parallel overhead power lines

This paper presents a method for determining optimal arrangements of parallel independent overhead power lines aimed to decrease electric and magnetic field emissions. The Genetic Algorithm (GA) is used to find the optimal placement of conductors. The Monte Carlo approach implemented in GA allows co...

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Main Authors: Ranković Aleksandar, Mijailović Vladica, Rozgić Dimitrije, Ćetenović Dragan
Format: Article
Language:English
Published: Faculty of Technical Sciences in Cacak 2017-01-01
Series:Serbian Journal of Electrical Engineering
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/1451-4869/2017/1451-48691700002R.pdf
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author Ranković Aleksandar
Mijailović Vladica
Rozgić Dimitrije
Ćetenović Dragan
author_facet Ranković Aleksandar
Mijailović Vladica
Rozgić Dimitrije
Ćetenović Dragan
author_sort Ranković Aleksandar
collection DOAJ
description This paper presents a method for determining optimal arrangements of parallel independent overhead power lines aimed to decrease electric and magnetic field emissions. The Genetic Algorithm (GA) is used to find the optimal placement of conductors. The Monte Carlo approach implemented in GA allows consideration of uncertain phase shifts between independent overhead power lines. The results and practical aspects of the proposed methodology are illustrated on two different configurations of both independent 400 kV singlecircuit and double-circuit overhead power lines. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. III-42009]
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spelling doaj.art-a16d929f1de5400cb873b2c77007ca8a2022-12-22T01:16:02ZengFaculty of Technical Sciences in CacakSerbian Journal of Electrical Engineering1451-48692217-71832017-01-0114219921610.2298/SJEE161115002R1451-48691700002ROptimization of electric and magnetic field emissions produced by independent parallel overhead power linesRanković Aleksandar0Mijailović Vladica1Rozgić Dimitrije2Ćetenović Dragan3Faculty of Technical Sciences, ČačakFaculty of Technical Sciences, ČačakFaculty of Technical Sciences, ČačakFaculty of Technical Sciences, ČačakThis paper presents a method for determining optimal arrangements of parallel independent overhead power lines aimed to decrease electric and magnetic field emissions. The Genetic Algorithm (GA) is used to find the optimal placement of conductors. The Monte Carlo approach implemented in GA allows consideration of uncertain phase shifts between independent overhead power lines. The results and practical aspects of the proposed methodology are illustrated on two different configurations of both independent 400 kV singlecircuit and double-circuit overhead power lines. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. III-42009]http://www.doiserbia.nb.rs/img/doi/1451-4869/2017/1451-48691700002R.pdfmagnetic fieldelectric fieldphase shiftgenetic algorithmoptimization
spellingShingle Ranković Aleksandar
Mijailović Vladica
Rozgić Dimitrije
Ćetenović Dragan
Optimization of electric and magnetic field emissions produced by independent parallel overhead power lines
Serbian Journal of Electrical Engineering
magnetic field
electric field
phase shift
genetic algorithm
optimization
title Optimization of electric and magnetic field emissions produced by independent parallel overhead power lines
title_full Optimization of electric and magnetic field emissions produced by independent parallel overhead power lines
title_fullStr Optimization of electric and magnetic field emissions produced by independent parallel overhead power lines
title_full_unstemmed Optimization of electric and magnetic field emissions produced by independent parallel overhead power lines
title_short Optimization of electric and magnetic field emissions produced by independent parallel overhead power lines
title_sort optimization of electric and magnetic field emissions produced by independent parallel overhead power lines
topic magnetic field
electric field
phase shift
genetic algorithm
optimization
url http://www.doiserbia.nb.rs/img/doi/1451-4869/2017/1451-48691700002R.pdf
work_keys_str_mv AT rankovicaleksandar optimizationofelectricandmagneticfieldemissionsproducedbyindependentparalleloverheadpowerlines
AT mijailovicvladica optimizationofelectricandmagneticfieldemissionsproducedbyindependentparalleloverheadpowerlines
AT rozgicdimitrije optimizationofelectricandmagneticfieldemissionsproducedbyindependentparalleloverheadpowerlines
AT cetenovicdragan optimizationofelectricandmagneticfieldemissionsproducedbyindependentparalleloverheadpowerlines