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Optimal Location, Sizing, and Appropriate Technology Selection of Distributed Generators for Minimizing Power Loss Using Genetic Algorithm
Joint Authors
Ayodele, T. R.
Ogunjuyigbe, A. S. O.
Akinola, O. O.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Genetic algorithm (GA) is utilized to select most suitable Distributed Generator (DG) technology for optimal operation of power system as well as determine the optimal location and size of the DG to minimize power loss on the network.
Three classes of DG technologies, synchronous generators, asynchronous generators, and induction generators, are considered and included as part of the variables for the optimization problem.
IEEE 14-bus network is used to test the applicability of the algorithm.
The result reveals that the developed algorithm is able to successfully select the most suitable DG technology and optimally size and place the DGs to minimize power loss in the network.
Furthermore, optimum multiple placement of DG is considered to see the possible impact on power loss in the network.
The result reveals that multiple placements can further reduce the power loss in the network.
American Psychological Association (APA)
Ayodele, T. R.& Ogunjuyigbe, A. S. O.& Akinola, O. O.. 2015. Optimal Location, Sizing, and Appropriate Technology Selection of Distributed Generators for Minimizing Power Loss Using Genetic Algorithm. Journal of Renewable Energy،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1070054
Modern Language Association (MLA)
Ayodele, T. R.…[et al.]. Optimal Location, Sizing, and Appropriate Technology Selection of Distributed Generators for Minimizing Power Loss Using Genetic Algorithm. Journal of Renewable Energy No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1070054
American Medical Association (AMA)
Ayodele, T. R.& Ogunjuyigbe, A. S. O.& Akinola, O. O.. Optimal Location, Sizing, and Appropriate Technology Selection of Distributed Generators for Minimizing Power Loss Using Genetic Algorithm. Journal of Renewable Energy. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1070054
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070054