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Optimal conductor selection in radial distribution systems for productivity improvement using genetic algorithm
Joint Authors
Ligha, Mahdi Mzfri
Jawahiri, Hasan
Ligha, Muhammad Mzfri
Source
The Iraqi Journal of Electrical and Electronic Engineering
Issue
Vol. 9, Issue 1 (30 Jun. 2013), pp.29-35, 7 p.
Publisher
University of Basrah College of Engineering
Publication Date
2013-06-30
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
Development of distribution systems result in higher system losses and poor voltage regulation.
Consequently, an efficient and effective distribution system has become more urgent and important.
Hence proper selection of conductors in the distribution system is important as it determines the current density and the resistance of the line.
This paper examines the use of different evolutionary algorithms, genetic algorithm (GA), to optimal branch conductor selection in planning radial distribution systems with the objective to minimize the overall cost of annual energy losses and depreciation on the cost of conductors and reliability in order to improve productivity.
Furthermore, The Backward-Forward sweep iterative method was adopted to solve the radial load flow analysis.
Simulations are carried out on 69-bus radial distribution network using GA approach in order to show the accuracy as well as the efficiency of the proposed solution technique.
American Psychological Association (APA)
Ligha, Mahdi Mzfri& Jawahiri, Hasan& Ligha, Muhammad Mzfri. 2013. Optimal conductor selection in radial distribution systems for productivity improvement using genetic algorithm. The Iraqi Journal of Electrical and Electronic Engineering،Vol. 9, no. 1, pp.29-35.
https://search.emarefa.net/detail/BIM-349932
Modern Language Association (MLA)
Ligha, Mahdi Mzfri…[et al.]. Optimal conductor selection in radial distribution systems for productivity improvement using genetic algorithm. The Iraqi Journal of Electrical and Electronic Engineering Vol. 9, no. 1 (2013), pp.29-35.
https://search.emarefa.net/detail/BIM-349932
American Medical Association (AMA)
Ligha, Mahdi Mzfri& Jawahiri, Hasan& Ligha, Muhammad Mzfri. Optimal conductor selection in radial distribution systems for productivity improvement using genetic algorithm. The Iraqi Journal of Electrical and Electronic Engineering. 2013. Vol. 9, no. 1, pp.29-35.
https://search.emarefa.net/detail/BIM-349932
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 34-35
Record ID
BIM-349932