Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
Joint Authors
Le Dinh, Luong
Vo Ngoc, Dieu
Vasant, Pandian
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-21
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Le Dinh, Luong& Vo Ngoc, Dieu& Vasant, Pandian. 2013. Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1032584
Modern Language Association (MLA)
Le Dinh, Luong…[et al.]. Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem. The Scientific World Journal No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1032584
American Medical Association (AMA)
Le Dinh, Luong& Vo Ngoc, Dieu& Vasant, Pandian. Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1032584
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032584