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ISSN:
2315-4462 (Print); 2373-3594 (Online)
Abbreviated Title:
Int. J Smart Grid Clean Energy
Frequency:
Semi-annual
Editor-in-Chief:
Prof. Danny Sutanto
Managing Editor:
Ms Jennifer Zeng
DOI:
10.12720/sgce
APC:
500 USD
Indexed by:
Inspec (IET),
CNKI
, Google Scholar,
etc
.
E-mail:
editor@ijsgce.com
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
2025-03-12
IJSGCE adopts Semi-annual Frequency now !
2024-11-27
IJSGCE opened Online Submission System.
2024-11-27
IJSGCE Vol. 11, No. 5 has been published online!
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2021
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Vol. 10, No. 1, January 2021
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Improvement power losses using bank capacitors and tap changers with the shark smell algorithm
Author(s): Radiktyo Nindyo Sumarno
a
, Susatyo Handoko
b
, Mochammad Facta
b
a
Master Program of Electrical Engineering, Faculty of Engineering, Diponegoro University, Semarang 50275, Indonesia
b
Department of Electrical Engineering, Faculty of Engineering, Diponegoro University, Semarang 50275, Indonesia
International Journal of Smart Grid and Clean Energy
, vol. 10, no. 1, January 2021: pp.51-56
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.10.1.51-56
Abstract
: Regulating system voltage reduces the power losses in transmission line. The tap changer on the power transformer and capacitor bank are the most effective way to regulate the system voltage. However, a trial and error mechanism using the power flow method to determine the value of tap settings and bank capacitors in conventional method consume a lot of time and it is far from optimize value. This study provides an optimized value based on the shark smell algorithm for the tapping transformers and bank capacitors of the system. There are several combination carried out in this work i.e. optimizations only for tap setting of transformer, bank capacitor optimization, and optimization for both tap setting and bank capacitor values. The 150 kV electrical system of Central Java and Yogyakarta has been become the object of work. The active power losses with a conventional adjustment is 107.818 MW. As the initial value of bank capacitor is 25 MVar, no reduction of power losses is obtained as bank capacitor optimization is executed, because the original value of bank capacitors in the system has been optimum already. Better results are obtained when the optimization only for tap setting and the optimization for both tap setting and bank capacitor. This two combination make power losses become 67.3% from the initial losses. In other words, the use of Shark Smell algorithm in optimization provides 32.7% active power losses reduction. Based on the experimental value, the results show that the shark smell algorithm can provide better optimization for the 150 kV electrical system.
Keywords
: Bank capacitors, tap changer, power losses, shark smell algorithm
Full Paper.pdf
Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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