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ISSN:
2315-4462 (Print); 2373-3594 (Online)
Abbreviated Title:
Int. J Smart Grid Clean Energy
Frequency:
4 issues per year
Editor-in-Chief:
Prof. Danny Sutanto
DOI:
10.12720/sgce
APC:
500 USD
Indexed by:
Inspec (IET),
CNKI
, Crossref, Google Scholar,
etc
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Editor-in-Chief
Prof. Danny Sutanto
University of Wollongong, Australia
I am very excited to serve as the first Editor-in-Chief of the Journal of Smart Grid and Clean Energy (IJSGCE)and hope that the publication can enrich the readers’ experience .... [
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What's New
2024-03-28
March 28th, 2024 News! Vol. 13, No. 1 has been published online!
2024-01-04
IJSGCE will adopt Article-by-Article Work Flow. For the quarterly journal, each issue will be released at the end of the issue month.
2023-10-09
October 9th, 2023 News! Vol. 11, No. 4 has been published online!
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2019
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Vol. 8, No. 2, March 2019
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Optimal capacitor placement in radial distribution systems using a fuzzy-dragonfly method
Author(s): Essam A. Al-Ammar, Ghazi A. Ghazi, Wonsuk Ko
College of Engineering, King Saud University,Riyadh,11461,Saudi Arabia
International Journal of Smart Grid and Clean Energy
, vol. 8, no. 2, March 2019: pp. 116-124
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.8.2.116-124
Abstract
: In distribution systems, supplying a reactive power along the distribution lines is essential in order to bring benefits such as power loss reduction, the voltage profile improvement, and maximizing cost saving. Shunt capacitors have been used for this purpose but the scope of these benefits depends on an appropriate location, and size of these capacitors. This paper proposes a hybrid technique consist of a Fuzzy Expert System (FES) and Dragonfly Algorithm (DA) methods to determine capacitors placement and their sizing in radial distribution system level of smart grids. The fuzzy expert system is utilized to determine the suitable locations placement of capacitors and dragonfly algorithm is utilized to find their size. This proposed method is tested at IEEE 69-bus distribution system. The obtained simulation results are compared with an existing optimization algorithm.
Keywords
: Dragonfly algorithm, distribution system, fuzzy expert system, Hybrid technique, power loss, shunt capacitors
Full Paper.pdf
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