Evolutionary Optimization of Electric Power Distribution Using the Dandelion Code
Joint Authors
Arias, Miguel
Parada, Víctor
Contreras Bolton, Carlos
Sabattin, Jorge
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-29
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
Planning primary electric power distribution involves solving an optimization problem using nonlinear components, which makes it difficult to obtain the optimum solution when the problem has dimensions that are found in reality, in terms of both the installation cost and the power loss cost.
To tackle this problem, heuristic methods have been used, but even when sacrificing quality, finding the optimum solution still represents a computational challenge.
In this paper, we study this problem using genetic algorithms.
With the help of a coding scheme based on the dandelion code, these genetic algorithms allow larger instances of the problem to be solved.
With the stated approach, we have solved instances of up to 40,000 consumer nodes when considering 20 substations; the total cost deviates 3.1% with respect to a lower bound that considers only the construction costs of the network.
American Psychological Association (APA)
Sabattin, Jorge& Contreras Bolton, Carlos& Arias, Miguel& Parada, Víctor. 2012. Evolutionary Optimization of Electric Power Distribution Using the Dandelion Code. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-494764
Modern Language Association (MLA)
Sabattin, Jorge…[et al.]. Evolutionary Optimization of Electric Power Distribution Using the Dandelion Code. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-5.
https://search.emarefa.net/detail/BIM-494764
American Medical Association (AMA)
Sabattin, Jorge& Contreras Bolton, Carlos& Arias, Miguel& Parada, Víctor. Evolutionary Optimization of Electric Power Distribution Using the Dandelion Code. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-494764
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-494764