Power system security and voltage collapse: a line outage based indicator for prediction

With the increased loading and exploitation of the power transmission system, the problem of voltage stability and voltage collapse is attracting more and more attention. Continuous monitoring of the system status is therefore a necessary requirement. This article is concerned with power system secu...

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Main Authors: Moghavvemi, M., Faruque, M.O.
Format: Article
Published: Elsevier 1999
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Online Access:http://eprints.um.edu.my/9643/
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spelling my.um.eprints.96432017-11-23T03:04:41Z http://eprints.um.edu.my/9643/ Power system security and voltage collapse: a line outage based indicator for prediction Moghavvemi, M. Faruque, M.O. TA Engineering (General). Civil engineering (General) With the increased loading and exploitation of the power transmission system, the problem of voltage stability and voltage collapse is attracting more and more attention. Continuous monitoring of the system status is therefore a necessary requirement. This article is concerned with power system security and investigates a proposed voltage collapse proximity indicator. For each line of the system, a line stability index is calculated based on the power flow through that line. The value of the line stability index is then used for predicting contingency outage of the lines and hence study the voltage collapse of the system. The described technique does not involve computational complexities and therefore can be easily implemented. The performance of the proposed indicator was tested on the IEEE 24 bus Reliability Test System and was found to be accurate and computationally feasible. Elsevier 1999 Article PeerReviewed Moghavvemi, M. and Faruque, M.O. (1999) Power system security and voltage collapse: a line outage based indicator for prediction. International Journal of Electrical Power & Energy Systems, 21 (6). pp. 455-461. ISSN 0142-0615 DOI: 10.1016/S0142-0615(99)00007-1
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Moghavvemi, M.
Faruque, M.O.
Power system security and voltage collapse: a line outage based indicator for prediction
description With the increased loading and exploitation of the power transmission system, the problem of voltage stability and voltage collapse is attracting more and more attention. Continuous monitoring of the system status is therefore a necessary requirement. This article is concerned with power system security and investigates a proposed voltage collapse proximity indicator. For each line of the system, a line stability index is calculated based on the power flow through that line. The value of the line stability index is then used for predicting contingency outage of the lines and hence study the voltage collapse of the system. The described technique does not involve computational complexities and therefore can be easily implemented. The performance of the proposed indicator was tested on the IEEE 24 bus Reliability Test System and was found to be accurate and computationally feasible.
format Article
author Moghavvemi, M.
Faruque, M.O.
author_facet Moghavvemi, M.
Faruque, M.O.
author_sort Moghavvemi, M.
title Power system security and voltage collapse: a line outage based indicator for prediction
title_short Power system security and voltage collapse: a line outage based indicator for prediction
title_full Power system security and voltage collapse: a line outage based indicator for prediction
title_fullStr Power system security and voltage collapse: a line outage based indicator for prediction
title_full_unstemmed Power system security and voltage collapse: a line outage based indicator for prediction
title_sort power system security and voltage collapse: a line outage based indicator for prediction
publisher Elsevier
publishDate 1999
url http://eprints.um.edu.my/9643/
_version_ 1643688617433890816
score 13.160551