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Dynamic voltage restorer using the combination of fuzzy logic and EPLL control strategies: An optimized implementation

Voltage sag is the most frequent power quality disturbance and it must be mitigated to protect sensitive electronic devices such as adjustable speed drives and programmable logic controllers. Dynamic voltage restorer (DVR) is introduced as an effective solution to mitigate voltage sag appeared on di...

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Main Authors: Taghizadeh S.F., Tan N.M.L., Nikouei B., Younis M.A.A.
Other Authors: 56483025000
Format: Conference Paper
Published: IEEE Computer Society 2023
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spelling my.uniten.dspace-220532023-05-16T10:46:59Z Dynamic voltage restorer using the combination of fuzzy logic and EPLL control strategies: An optimized implementation Taghizadeh S.F. Tan N.M.L. Nikouei B. Younis M.A.A. 56483025000 24537965000 55582757400 56501517900 Voltage sag is the most frequent power quality disturbance and it must be mitigated to protect sensitive electronic devices such as adjustable speed drives and programmable logic controllers. Dynamic voltage restorer (DVR) is introduced as an effective solution to mitigate voltage sag appeared on distribution lines. This paper considers the operation of a dynamic voltage restorer for voltage sag mitigation. This paper proposes a control system using the combination of enhanced phase lock loop (EPLL) and fuzzy logic (FL). The simulation results using EMTDC/PSCAD software show the reliability and speed of the proposed system in terms of voltage sag detection and synchronization time during different types of voltage sags. © 2014 IEEE. Final 2023-05-16T02:46:59Z 2023-05-16T02:46:59Z 2014 Conference Paper 10.1109/ISGT-Asia.2014.6873852 2-s2.0-84906657914 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906657914&doi=10.1109%2fISGT-Asia.2014.6873852&partnerID=40&md5=040d87f526d9b416b5fe4c65df241138 https://irepository.uniten.edu.my/handle/123456789/22053 6873852 554 559 IEEE Computer Society 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/
description Voltage sag is the most frequent power quality disturbance and it must be mitigated to protect sensitive electronic devices such as adjustable speed drives and programmable logic controllers. Dynamic voltage restorer (DVR) is introduced as an effective solution to mitigate voltage sag appeared on distribution lines. This paper considers the operation of a dynamic voltage restorer for voltage sag mitigation. This paper proposes a control system using the combination of enhanced phase lock loop (EPLL) and fuzzy logic (FL). The simulation results using EMTDC/PSCAD software show the reliability and speed of the proposed system in terms of voltage sag detection and synchronization time during different types of voltage sags. © 2014 IEEE.
author2 56483025000
author_facet 56483025000
Taghizadeh S.F.
Tan N.M.L.
Nikouei B.
Younis M.A.A.
format Conference Paper
author Taghizadeh S.F.
Tan N.M.L.
Nikouei B.
Younis M.A.A.
spellingShingle Taghizadeh S.F.
Tan N.M.L.
Nikouei B.
Younis M.A.A.
Dynamic voltage restorer using the combination of fuzzy logic and EPLL control strategies: An optimized implementation
author_sort Taghizadeh S.F.
title Dynamic voltage restorer using the combination of fuzzy logic and EPLL control strategies: An optimized implementation
title_short Dynamic voltage restorer using the combination of fuzzy logic and EPLL control strategies: An optimized implementation
title_full Dynamic voltage restorer using the combination of fuzzy logic and EPLL control strategies: An optimized implementation
title_fullStr Dynamic voltage restorer using the combination of fuzzy logic and EPLL control strategies: An optimized implementation
title_full_unstemmed Dynamic voltage restorer using the combination of fuzzy logic and EPLL control strategies: An optimized implementation
title_sort dynamic voltage restorer using the combination of fuzzy logic and epll control strategies: an optimized implementation
publisher IEEE Computer Society
publishDate 2023
_version_ 1806423574029795328
score 13.188404

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