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Judgment of Temporary over Voltages during Transformer Refurbishment

by V V Rajagopal Peesapati, Niranjan Kumar, Vinod Kumar Yadav
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 2
Year of Publication: 2014
Authors: V V Rajagopal Peesapati, Niranjan Kumar, Vinod Kumar Yadav
10.5120/18887-0170

V V Rajagopal Peesapati, Niranjan Kumar, Vinod Kumar Yadav . Judgment of Temporary over Voltages during Transformer Refurbishment. International Journal of Computer Applications. 108, 2 ( December 2014), 39-42. DOI=10.5120/18887-0170

@article{ 10.5120/18887-0170,
author = { V V Rajagopal Peesapati, Niranjan Kumar, Vinod Kumar Yadav },
title = { Judgment of Temporary over Voltages during Transformer Refurbishment },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 2 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 39-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number2/18887-0170/ },
doi = { 10.5120/18887-0170 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:41:59.819821+05:30
%A V V Rajagopal Peesapati
%A Niranjan Kumar
%A Vinod Kumar Yadav
%T Judgment of Temporary over Voltages during Transformer Refurbishment
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 2
%P 39-42
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this research work Radial Basis Function (RBF) Neural Network (NN) and Regression models are used to estimate Temporary over Voltages (TOVs) that are occurred during the reenergization of lightly loaded transformer. Assessment of the TOVs are carried out in order to control the high peak voltage up to a safe operating point to ensure the safety of the power system equipments. The proposed approaches are applied to the standard IEEE 30 bus test system to evaluate its efficacy. The statistical approach is applied to examine the robustness of the forecasting results. Results show that the methods conveyed in this research are better and could be helpful for power system restoration planning.

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Index Terms

Computer Science
Information Sciences

Keywords

Power System Restoration Temporary Over Voltages Radial Basis Function Neural Networks.

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