International Journal of Computational Intelligence Systems

Volume 6, Issue 3, May 2013, Pages 585 - 594

Tap-Changing Operations of Multiple Transformers using ANN Based Controller

Authors
Md Fakhrul Islam, Amanullah Maung Than Oo
Corresponding Author
Md Fakhrul Islam
Available Online 9 January 2017.
DOI
https://doi.org/10.1080/18756891.2013.792543How to use a DOI?
Keywords
ANN, Tap-changer, Ensemble, Transformers
Abstract
Tap changing operations of multiple transformers at a substation is a complex problem due to issues in controlling the parallel operations of the transformers involved, differences in manufacturer's design and inaccuracy of the measures. In earlier work Artificial Neural Network (ANN) based tap changer controller has been developed to overcome these difficulties and improved results have been shown for systems based on two parallel transformers. This paper aims to improve the previously proposed ANN controller configuration to suit for multiple transformers. This new configuration of ANN controller uses ensemble technique and illustrates the operational efficiency. In particular, it has been shown that the ANN controller designed for two parallel transformers in this new technique will operate for multiple transformers. This means that if additional transformers (more than two) are installed in a substation to cope up with increased load, the ANN controller needs not to be redesigned/replaced.
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This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
6 - 3
Pages
585 - 594
Publication Date
2017/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2013.792543How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Md Fakhrul Islam
AU  - Amanullah Maung Than Oo
PY  - 2017
DA  - 2017/01
TI  - Tap-Changing Operations of Multiple Transformers using ANN Based Controller
JO  - International Journal of Computational Intelligence Systems
SP  - 585
EP  - 594
VL  - 6
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.792543
DO  - https://doi.org/10.1080/18756891.2013.792543
ID  - Islam2017
ER  -