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Optimal penalty method in distribution service restoration using genetic algorithm

As an efficient scheme for service restoration in distribution systems has a vital role in improving reliability of the system and also satisfactory of customers, significant efforts assigned in solving the problem. The major challenge is to reduce computation burden while covering all the possible...

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Main Authors: Moazami, Ehsan, Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Izadi, Mahdi, Mirzaei, Maryam
Format: Conference or Workshop Item
Language:English
Published: IEEE 2013
Online Access:http://psasir.upm.edu.my/id/eprint/68255/1/Optimal%20penalty%20method%20in%20distribution%20service%20restoration%20using%20genetic%20algorithm.pdf
http://psasir.upm.edu.my/id/eprint/68255/
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spelling my.upm.eprints.682552019-05-10T08:28:13Z http://psasir.upm.edu.my/id/eprint/68255/ Optimal penalty method in distribution service restoration using genetic algorithm Moazami, Ehsan Ab Kadir, Mohd Zainal Abidin Hizam, Hashim Izadi, Mahdi Mirzaei, Maryam As an efficient scheme for service restoration in distribution systems has a vital role in improving reliability of the system and also satisfactory of customers, significant efforts assigned in solving the problem. The major challenge is to reduce computation burden while covering all the possible answers in reasonable time and effort. Furthermore, restoration is a multi-objective, multi-constraint optimization problem. The considered restoration objective functions in this study include the minimization of outage area, minimizing of power loss and minimizing of number of switching whilst considering the technical constraints. This study presents a new approach of supply restoration service using the Genetic Algorithm (GA). A new hybrid Genetic Algorithm is proposed for reducing the search space. The proposed technique is implemented to improve the penalty strategy to enhance the performance of algorithm and reduce the convergence iteration. The effectiveness of the proposed method is demonstrated by testing on a 33-bus test system. Comparisons show the improvements in reducing of number of iteration after restoration. Findings through comparisons are shown that the proposed method will be able to do full restoration and energize all loads. IEEE 2013 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68255/1/Optimal%20penalty%20method%20in%20distribution%20service%20restoration%20using%20genetic%20algorithm.pdf Moazami, Ehsan and Ab Kadir, Mohd Zainal Abidin and Hizam, Hashim and Izadi, Mahdi and Mirzaei, Maryam (2013) Optimal penalty method in distribution service restoration using genetic algorithm. In: 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO 2013), 3-4 June 2013, Langkawi, Kedah. (pp. 397-401). 10.1109/PEOCO.2013.6564580
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description As an efficient scheme for service restoration in distribution systems has a vital role in improving reliability of the system and also satisfactory of customers, significant efforts assigned in solving the problem. The major challenge is to reduce computation burden while covering all the possible answers in reasonable time and effort. Furthermore, restoration is a multi-objective, multi-constraint optimization problem. The considered restoration objective functions in this study include the minimization of outage area, minimizing of power loss and minimizing of number of switching whilst considering the technical constraints. This study presents a new approach of supply restoration service using the Genetic Algorithm (GA). A new hybrid Genetic Algorithm is proposed for reducing the search space. The proposed technique is implemented to improve the penalty strategy to enhance the performance of algorithm and reduce the convergence iteration. The effectiveness of the proposed method is demonstrated by testing on a 33-bus test system. Comparisons show the improvements in reducing of number of iteration after restoration. Findings through comparisons are shown that the proposed method will be able to do full restoration and energize all loads.
format Conference or Workshop Item
author Moazami, Ehsan
Ab Kadir, Mohd Zainal Abidin
Hizam, Hashim
Izadi, Mahdi
Mirzaei, Maryam
spellingShingle Moazami, Ehsan
Ab Kadir, Mohd Zainal Abidin
Hizam, Hashim
Izadi, Mahdi
Mirzaei, Maryam
Optimal penalty method in distribution service restoration using genetic algorithm
author_facet Moazami, Ehsan
Ab Kadir, Mohd Zainal Abidin
Hizam, Hashim
Izadi, Mahdi
Mirzaei, Maryam
author_sort Moazami, Ehsan
title Optimal penalty method in distribution service restoration using genetic algorithm
title_short Optimal penalty method in distribution service restoration using genetic algorithm
title_full Optimal penalty method in distribution service restoration using genetic algorithm
title_fullStr Optimal penalty method in distribution service restoration using genetic algorithm
title_full_unstemmed Optimal penalty method in distribution service restoration using genetic algorithm
title_sort optimal penalty method in distribution service restoration using genetic algorithm
publisher IEEE
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/68255/1/Optimal%20penalty%20method%20in%20distribution%20service%20restoration%20using%20genetic%20algorithm.pdf
http://psasir.upm.edu.my/id/eprint/68255/
_version_ 1643839147124719616
score 13.211869

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