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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| Format: | Article |
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School of Engineering, Taylor’s University College
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/37176/ |
| _version_ | 1848848538151157760 |
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| author | Waqas, Usama Mohd Radzi, Mohd Amran Mariun, Norman |
| author_facet | Waqas, Usama Mohd Radzi, Mohd Amran Mariun, Norman |
| author_sort | Waqas, Usama |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T09:36:05Z |
| format | Article |
| id | upm-37176 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T09:36:05Z |
| publishDate | 2014 |
| publisher | School of Engineering, Taylor’s University College |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/37176/ http://psasir.upm.edu.my/id/eprint/37176/ |