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Dynamic voltage restorer for efficient detection and compensation of voltage SAG using ANN based LMS as a new control strategy

Nowadays, innovations in the world of electrical and electronics exponentially increase sensitivity of electronic devices and control systems in daily use. Sensitivity of the devices and more dependency of industries on power systems make them more vulnerable to power quality issues such as voltage...

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Main Authors: Waqas, Usama, Mohd Radzi, Mohd Amran, Mariun, Norman
Format: Article
Published: School of Engineering, Taylor’s University College 2014
Online Access:http://psasir.upm.edu.my/id/eprint/37176/
http://jestec.taylors.edu.my/Special%20Issue%20SAES2013.htm
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spelling my.upm.eprints.371762016-01-12T08:26:30Z http://psasir.upm.edu.my/id/eprint/37176/ Dynamic voltage restorer for efficient detection and compensation of voltage SAG using ANN based LMS as a new control strategy Waqas, Usama Mohd Radzi, Mohd Amran Mariun, Norman Nowadays, innovations in the world of electrical and electronics exponentially increase sensitivity of electronic devices and control systems in daily use. Sensitivity of the devices and more dependency of industries on power systems make them more vulnerable to power quality issues such as voltage sags, spikes, interruptions, harmonics, power factor, and voltage and current unbalances. These power quality problems can lead the whole power systems towards malfunctioning, interruptions or in severe cases can damage the whole system. Whereas by IEEE reports, voltage sags are found to be most crucial and common power quality issue among all other power quality problems. Dynamic Voltage Restorer (DVR) is a cost effective, flexible and efficient compensating device for voltage related issues especially for voltage sags. This paper proposes an Artificial Neural Network (ANN) based on Least Mean Square Estimation Method (LMS) control system strategy; for detection and compensation of voltage sag with faster response time and accuracy for DVR. The proposed DVR is implemented in ATLAB6SIMULINK and tested under different power quality problems such as balanced and unbalanced voltage sags, swells and also for compensation of limited harmonics contamination with frequency shift. The achieved results validated the efficiency and performance of the system and further analysed in comparison with previous research works. School of Engineering, Taylor’s University College 2014-10 Article PeerReviewed Waqas, Usama and Mohd Radzi, Mohd Amran and Mariun, Norman (2014) Dynamic voltage restorer for efficient detection and compensation of voltage SAG using ANN based LMS as a new control strategy. Journal of Engineering Science and Technology, 9 (spec.). pp. 21-29. ISSN 1823-4690 http://jestec.taylors.edu.my/Special%20Issue%20SAES2013.htm
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Nowadays, innovations in the world of electrical and electronics exponentially increase sensitivity of electronic devices and control systems in daily use. Sensitivity of the devices and more dependency of industries on power systems make them more vulnerable to power quality issues such as voltage sags, spikes, interruptions, harmonics, power factor, and voltage and current unbalances. These power quality problems can lead the whole power systems towards malfunctioning, interruptions or in severe cases can damage the whole system. Whereas by IEEE reports, voltage sags are found to be most crucial and common power quality issue among all other power quality problems. Dynamic Voltage Restorer (DVR) is a cost effective, flexible and efficient compensating device for voltage related issues especially for voltage sags. This paper proposes an Artificial Neural Network (ANN) based on Least Mean Square Estimation Method (LMS) control system strategy; for detection and compensation of voltage sag with faster response time and accuracy for DVR. The proposed DVR is implemented in ATLAB6SIMULINK and tested under different power quality problems such as balanced and unbalanced voltage sags, swells and also for compensation of limited harmonics contamination with frequency shift. The achieved results validated the efficiency and performance of the system and further analysed in comparison with previous research works.
format Article
author Waqas, Usama
Mohd Radzi, Mohd Amran
Mariun, Norman
spellingShingle Waqas, Usama
Mohd Radzi, Mohd Amran
Mariun, Norman
Dynamic voltage restorer for efficient detection and compensation of voltage SAG using ANN based LMS as a new control strategy
author_facet Waqas, Usama
Mohd Radzi, Mohd Amran
Mariun, Norman
author_sort Waqas, Usama
title Dynamic voltage restorer for efficient detection and compensation of voltage SAG using ANN based LMS as a new control strategy
title_short Dynamic voltage restorer for efficient detection and compensation of voltage SAG using ANN based LMS as a new control strategy
title_full Dynamic voltage restorer for efficient detection and compensation of voltage SAG using ANN based LMS as a new control strategy
title_fullStr Dynamic voltage restorer for efficient detection and compensation of voltage SAG using ANN based LMS as a new control strategy
title_full_unstemmed Dynamic voltage restorer for efficient detection and compensation of voltage SAG using ANN based LMS as a new control strategy
title_sort dynamic voltage restorer for efficient detection and compensation of voltage sag using ann based lms as a new control strategy
publisher School of Engineering, Taylor’s University College
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/37176/
http://jestec.taylors.edu.my/Special%20Issue%20SAES2013.htm
_version_ 1643831922635309056
score 13.211869

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