Improved Genetic Algorithm for Distribution System Performance Analysis by Taking Advantage of Essential Spanning Trees
Joint Authors
Ji, Yanzhu
Shi, Zhuoqun
O’Connell, Robert M.
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Growing interest in the smart grid, increasing use of distributed generation, and classical distribution system reconfiguration (DSR) and restoration problems have led to the search for efficient distribution automation tools.
One such tool, the improved Fast Nondominated Sorting Genetic Algorithm (FNSGA), not only is effective in finding system configurations that are optimal with respect to voltages, currents, and losses, but also considered parametric study to determine minimum values of N and Gen.
In this paper, the essential spanning tree concept is expanded to improve the computational efficiency of the algorithm.
Results of the study show that for relatively small test systems, optimum system configurations are obtained using values of N and Gen that require very small CPU times.
In larger systems, optimum values of N and Gen requiring reasonable CPU times can also be found, provided that certain carefully chosen branches are removed from the pool of possibilities when producing the initial population in the algorithm.
By using essential trees, the efficiency of the calculation is improved.
American Psychological Association (APA)
Ji, Yanzhu& Shi, Zhuoqun& O’Connell, Robert M.. 2018. Improved Genetic Algorithm for Distribution System Performance Analysis by Taking Advantage of Essential Spanning Trees. Journal of Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1184166
Modern Language Association (MLA)
Ji, Yanzhu…[et al.]. Improved Genetic Algorithm for Distribution System Performance Analysis by Taking Advantage of Essential Spanning Trees. Journal of Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1184166
American Medical Association (AMA)
Ji, Yanzhu& Shi, Zhuoqun& O’Connell, Robert M.. Improved Genetic Algorithm for Distribution System Performance Analysis by Taking Advantage of Essential Spanning Trees. Journal of Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1184166
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184166