Analytical approach to stochastic assessment for balanced voltage sags and duration on transmission networks

Stochastic assessment is a method to predict the severity, duration and number of voltage sags at a bus of interest in the transmission network. In this paper, a technique using impedance matrix for stochastic assessment was developed to predict the voltage magnitudes and duration due to faults at a...

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Main Authors: Gopi R.J., Ramachandaramurthy V.K., Au M.T.
Other Authors: 57218138414
Format: Conference Paper
Published: 2023
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spelling my.uniten.dspace-306962024-04-17T10:34:06Z Analytical approach to stochastic assessment for balanced voltage sags and duration on transmission networks Gopi R.J. Ramachandaramurthy V.K. Au M.T. 57218138414 6602912020 9742020600 Component Power quality Stochastic methods Voltage sags Electric impedance measurement Electric measuring instruments Electric power supplies to apparatus Electric power transmission networks Stochastic systems Voltage stabilizing circuits Analytical approach Electrical networks Impedance matrices Stochastic assessment Stochastic methods Transmission networks Voltage magnitude Voltage sags Matrix algebra Stochastic assessment is a method to predict the severity, duration and number of voltage sags at a bus of interest in the transmission network. In this paper, a technique using impedance matrix for stochastic assessment was developed to predict the voltage magnitudes and duration due to faults at any bus in the electrical network. To illustrate the application and reliability of the proposed technique, the impedance matrix was applied to simple electrical network. The results conclusively point to the fact that the impedance matrix method is able to compute the predicted voltage magnitude at any bus, duration of sag and the number of sags per year. � 2009 IEEE. Final 2023-12-29T07:51:29Z 2023-12-29T07:51:29Z 2009 Conference Paper 10.1109/EPQU.2009.5318852 2-s2.0-72449165398 https://www.scopus.com/inward/record.uri?eid=2-s2.0-72449165398&doi=10.1109%2fEPQU.2009.5318852&partnerID=40&md5=67cb1022192f8c4aa759e27c8f47d0b2 https://irepository.uniten.edu.my/handle/123456789/30696 5318852 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Component
Power quality
Stochastic methods
Voltage sags
Electric impedance measurement
Electric measuring instruments
Electric power supplies to apparatus
Electric power transmission networks
Stochastic systems
Voltage stabilizing circuits
Analytical approach
Electrical networks
Impedance matrices
Stochastic assessment
Stochastic methods
Transmission networks
Voltage magnitude
Voltage sags
Matrix algebra
spellingShingle Component
Power quality
Stochastic methods
Voltage sags
Electric impedance measurement
Electric measuring instruments
Electric power supplies to apparatus
Electric power transmission networks
Stochastic systems
Voltage stabilizing circuits
Analytical approach
Electrical networks
Impedance matrices
Stochastic assessment
Stochastic methods
Transmission networks
Voltage magnitude
Voltage sags
Matrix algebra
Gopi R.J.
Ramachandaramurthy V.K.
Au M.T.
Analytical approach to stochastic assessment for balanced voltage sags and duration on transmission networks
description Stochastic assessment is a method to predict the severity, duration and number of voltage sags at a bus of interest in the transmission network. In this paper, a technique using impedance matrix for stochastic assessment was developed to predict the voltage magnitudes and duration due to faults at any bus in the electrical network. To illustrate the application and reliability of the proposed technique, the impedance matrix was applied to simple electrical network. The results conclusively point to the fact that the impedance matrix method is able to compute the predicted voltage magnitude at any bus, duration of sag and the number of sags per year. � 2009 IEEE.
author2 57218138414
author_facet 57218138414
Gopi R.J.
Ramachandaramurthy V.K.
Au M.T.
format Conference Paper
author Gopi R.J.
Ramachandaramurthy V.K.
Au M.T.
author_sort Gopi R.J.
title Analytical approach to stochastic assessment for balanced voltage sags and duration on transmission networks
title_short Analytical approach to stochastic assessment for balanced voltage sags and duration on transmission networks
title_full Analytical approach to stochastic assessment for balanced voltage sags and duration on transmission networks
title_fullStr Analytical approach to stochastic assessment for balanced voltage sags and duration on transmission networks
title_full_unstemmed Analytical approach to stochastic assessment for balanced voltage sags and duration on transmission networks
title_sort analytical approach to stochastic assessment for balanced voltage sags and duration on transmission networks
publishDate 2023
_version_ 1806428311925030912
score 13.222552