Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)

Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)

In this paper, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based approach is presented for distribution system reconfiguration. In contrast to the conventional GA based methods, the proposed approach does not require weighting factors for conversion of multi-objective function into an equ...

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Bibliographic Details
Main Authors: J. Moshtagh, S. Ghasemi
Format: Article
Language:English
Published: University of Mohaghegh Ardabili 2007-06-01
Series:Journal of Operation and Automation in Power Engineering
Subjects:
Distribution system
Load Balancing
Non-dominated Sorting Genetic Algorithm
Power Losses Reduction
Reconfiguration
Online Access:http://joape.uma.ac.ir/article_172_f42779b19b4d28fb55aed55ea7219d16.pdf
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spelling doaj-6a573c218da64ad4afd516683a5c44eb2020-11-25T00:13:13ZengUniversity of Mohaghegh ArdabiliJournal of Operation and Automation in Power Engineering2322-45762423-45672007-06-01111221172Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)J. Moshtagh0S. Ghasemi1Department of Electrical Engineering, University of Kurdistan, Sanandaj, IranDepartment of Electrical Engineering, University of Kurdistan, Sanandaj, IranIn this paper, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based approach is presented for distribution system reconfiguration. In contrast to the conventional GA based methods, the proposed approach does not require weighting factors for conversion of multi-objective function into an equivalent single objective function. In order to illustrate the performance of the proposed method, 33-bus and 69-bus distribution networks have been employed which have led to the desired results.http://joape.uma.ac.ir/article_172_f42779b19b4d28fb55aed55ea7219d16.pdfDistribution systemLoad BalancingNon-dominated Sorting Genetic AlgorithmPower Losses ReductionReconfiguration
collection DOAJ
language English
format Article
sources DOAJ
author J. Moshtagh
S. Ghasemi
spellingShingle J. Moshtagh
S. Ghasemi
Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)
Journal of Operation and Automation in Power Engineering
Distribution system
Load Balancing
Non-dominated Sorting Genetic Algorithm
Power Losses Reduction
Reconfiguration
author_facet J. Moshtagh
S. Ghasemi
author_sort J. Moshtagh
title Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)
title_short Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)
title_full Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)
title_fullStr Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)
title_full_unstemmed Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II)
title_sort optimal distribution system reconfiguration using non-dominated sorting genetic algorithm (nsga-ii)
publisher University of Mohaghegh Ardabili
series Journal of Operation and Automation in Power Engineering
issn 2322-4576
2423-4567
publishDate 2007-06-01
description In this paper, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based approach is presented for distribution system reconfiguration. In contrast to the conventional GA based methods, the proposed approach does not require weighting factors for conversion of multi-objective function into an equivalent single objective function. In order to illustrate the performance of the proposed method, 33-bus and 69-bus distribution networks have been employed which have led to the desired results.
topic Distribution system
Load Balancing
Non-dominated Sorting Genetic Algorithm
Power Losses Reduction
Reconfiguration
url http://joape.uma.ac.ir/article_172_f42779b19b4d28fb55aed55ea7219d16.pdf
work_keys_str_mv AT jmoshtagh optimaldistributionsystemreconfigurationusingnondominatedsortinggeneticalgorithmnsgaii
AT sghasemi optimaldistributionsystemreconfigurationusingnondominatedsortinggeneticalgorithmnsgaii
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