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Computational Intelligence and Voltage Stability Analysis for Mitigation of Blackout

by Fouzul Azim Shaikh, Dr Zaheeruddin, Dr M S Jamil Asghar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 16 - Number 2
Year of Publication: 2011
Authors: Fouzul Azim Shaikh, Dr Zaheeruddin, Dr M S Jamil Asghar
10.5120/1987-2677

Fouzul Azim Shaikh, Dr Zaheeruddin, Dr M S Jamil Asghar . Computational Intelligence and Voltage Stability Analysis for Mitigation of Blackout. International Journal of Computer Applications. 16, 2 ( February 2011), 6-11. DOI=10.5120/1987-2677

@article{ 10.5120/1987-2677,
author = { Fouzul Azim Shaikh, Dr Zaheeruddin, Dr M S Jamil Asghar },
title = { Computational Intelligence and Voltage Stability Analysis for Mitigation of Blackout },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 16 },
number = { 2 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume16/number2/1987-2677/ },
doi = { 10.5120/1987-2677 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:03:48.811914+05:30
%A Fouzul Azim Shaikh
%A Dr Zaheeruddin
%A Dr M S Jamil Asghar
%T Computational Intelligence and Voltage Stability Analysis for Mitigation of Blackout
%J International Journal of Computer Applications
%@ 0975-8887
%V 16
%N 2
%P 6-11
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mitigation of power system blackouts are still going on all over the world. Millions of people are affected each year due to power system blackouts. Integration the knowledge of computational intelligence with roots of blackout can lead us to triumph over these tremendous losses. Voltage stability study is an essential aspect as it avoids power system blackouts. This paper presents a computational intelligence based evaluation for a very important aspect, voltage stability of an electric power system. Large amounts of data, fuzziness of that data, and the endless variations of system configurations are all factors contributing to the complexity of power system analysis and diagnosis. This complexity has necessitated the need for computational intelligent tools to aid system engineers. Artificial Neural Network and Fuzzy Logic have emerged as amongst most suitable tools for power system applications. The combination of two intelligent disciplines into one system i.e. neuro-fuzzy technique for power system analysis has proven even more effective.

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Index Terms

Computer Science
Information Sciences

Keywords

Computational intelligence power system blackout neural network

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