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Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
This paper proposes an artificial bee colony (ABC) algorithm for solving optimal power flow (OPF) problem. The objective of the OPF problem is to minimize total cost of thermal units while satisfying the unit and system constraints such as generator capacity limits, power balance, line flow limits,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3891533/ https://www.ncbi.nlm.nih.gov/pubmed/24470790 http://dx.doi.org/10.1155/2013/159040 |
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author | Le Dinh, Luong Vo Ngoc, Dieu Vasant, Pandian |
author_facet | Le Dinh, Luong Vo Ngoc, Dieu Vasant, Pandian |
author_sort | Le Dinh, Luong |
collection | PubMed |
description | This paper proposes an artificial bee colony (ABC) algorithm for solving optimal power flow (OPF) problem. The objective of the OPF problem is to minimize total cost of thermal units while satisfying the unit and system constraints such as generator capacity limits, power balance, line flow limits, bus voltages limits, and transformer tap settings limits. The ABC algorithm is an optimization method inspired from the foraging behavior of honey bees. The proposed algorithm has been tested on the IEEE 30-bus, 57-bus, and 118-bus systems. The numerical results have indicated that the proposed algorithm can find high quality solution for the problem in a fast manner via the result comparisons with other methods in the literature. Therefore, the proposed ABC algorithm can be a favorable method for solving the OPF problem. |
format | Online Article Text |
id | pubmed-3891533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-38915332014-01-27 Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem Le Dinh, Luong Vo Ngoc, Dieu Vasant, Pandian ScientificWorldJournal Research Article This paper proposes an artificial bee colony (ABC) algorithm for solving optimal power flow (OPF) problem. The objective of the OPF problem is to minimize total cost of thermal units while satisfying the unit and system constraints such as generator capacity limits, power balance, line flow limits, bus voltages limits, and transformer tap settings limits. The ABC algorithm is an optimization method inspired from the foraging behavior of honey bees. The proposed algorithm has been tested on the IEEE 30-bus, 57-bus, and 118-bus systems. The numerical results have indicated that the proposed algorithm can find high quality solution for the problem in a fast manner via the result comparisons with other methods in the literature. Therefore, the proposed ABC algorithm can be a favorable method for solving the OPF problem. Hindawi Publishing Corporation 2013-12-29 /pmc/articles/PMC3891533/ /pubmed/24470790 http://dx.doi.org/10.1155/2013/159040 Text en Copyright © 2013 Luong Le Dinh et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Le Dinh, Luong Vo Ngoc, Dieu Vasant, Pandian Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem |
title | Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem |
title_full | Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem |
title_fullStr | Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem |
title_full_unstemmed | Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem |
title_short | Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem |
title_sort | artificial bee colony algorithm for solving optimal power flow problem |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3891533/ https://www.ncbi.nlm.nih.gov/pubmed/24470790 http://dx.doi.org/10.1155/2013/159040 |
work_keys_str_mv | AT ledinhluong artificialbeecolonyalgorithmforsolvingoptimalpowerflowproblem AT vongocdieu artificialbeecolonyalgorithmforsolvingoptimalpowerflowproblem AT vasantpandian artificialbeecolonyalgorithmforsolvingoptimalpowerflowproblem |