Voltage sags observation through optimal monitor locations

The concern towards voltage sag has increased rapidly due to the amount of losses it created. Throughout the world, many researchers have proposed a study on the characteristics and the mitigation methods which may be used to overcome or reduce the effect cause by the voltage sag. In this paper, a m...

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Main Author: Salim, Fatimah
Format: Book Section
Published: Penerbit UTM 2012
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Online Access:http://eprints.utm.my/id/eprint/47806/
http://ieeexplore.ieee.org/abstract/document/5625318/?reload=true
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spelling my.utm.478062017-09-21T05:46:29Z http://eprints.utm.my/id/eprint/47806/ Voltage sags observation through optimal monitor locations Salim, Fatimah TK Electrical engineering. Electronics Nuclear engineering The concern towards voltage sag has increased rapidly due to the amount of losses it created. Throughout the world, many researchers have proposed a study on the characteristics and the mitigation methods which may be used to overcome or reduce the effect cause by the voltage sag. In this paper, a method that used a minimum number of power quality monitors has been proposed to monitor the occurrence of voltage sags in the utility system. By using the area of vulnerability concept, the optimal monitor locations with zero blind spot area can be determined. The proposed method also used the concept of monitor redundancy to ensure the correctness of the monitor reading, validation purposes and to ensure the reliability of the monitoring system is 100%. The proposed method has been tested with two standards system; IEEE 30-bus system and IEEE 300-bus system and the results then is compared with other monitoring method. Penerbit UTM 2012 Book Section PeerReviewed Salim, Fatimah (2012) Voltage sags observation through optimal monitor locations. In: Power Quality Standards and Regulations in Malaysia. Penerbit UTM, Skudai, Johor, pp. 35-53. ISBN 978-967-354-187-4 http://ieeexplore.ieee.org/abstract/document/5625318/?reload=true
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Salim, Fatimah
Voltage sags observation through optimal monitor locations
description The concern towards voltage sag has increased rapidly due to the amount of losses it created. Throughout the world, many researchers have proposed a study on the characteristics and the mitigation methods which may be used to overcome or reduce the effect cause by the voltage sag. In this paper, a method that used a minimum number of power quality monitors has been proposed to monitor the occurrence of voltage sags in the utility system. By using the area of vulnerability concept, the optimal monitor locations with zero blind spot area can be determined. The proposed method also used the concept of monitor redundancy to ensure the correctness of the monitor reading, validation purposes and to ensure the reliability of the monitoring system is 100%. The proposed method has been tested with two standards system; IEEE 30-bus system and IEEE 300-bus system and the results then is compared with other monitoring method.
format Book Section
author Salim, Fatimah
author_facet Salim, Fatimah
author_sort Salim, Fatimah
title Voltage sags observation through optimal monitor locations
title_short Voltage sags observation through optimal monitor locations
title_full Voltage sags observation through optimal monitor locations
title_fullStr Voltage sags observation through optimal monitor locations
title_full_unstemmed Voltage sags observation through optimal monitor locations
title_sort voltage sags observation through optimal monitor locations
publisher Penerbit UTM
publishDate 2012
url http://eprints.utm.my/id/eprint/47806/
http://ieeexplore.ieee.org/abstract/document/5625318/?reload=true
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score 13.160551