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Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells
IEEE Transactions on Power Delivery, Pages: 1 - 1
Swansea University Author: Grazia Todeschini
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DOI (Published version): 10.1109/TPWRD.2018.2876682
Abstract
Voltage sags and swells are power quality events commonly observed in power systems; however, none of the existing methods allows determining their point-on-wave inception and recovery instants (and consequently, their duration) accurately in all cases. The primary goal of this paper is to determine...
Published in: | IEEE Transactions on Power Delivery |
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ISSN: | 0885-8977 1937-4208 |
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2018
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URI: | https://cronfa.swan.ac.uk/Record/cronfa44927 |
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2020-06-16T17:17:32.1986709 v2 44927 2018-10-17 Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells c4ff9050b31bdec0e560b19bfb3b56d3 0000-0001-9411-0726 Grazia Todeschini Grazia Todeschini true false 2018-10-17 Voltage sags and swells are power quality events commonly observed in power systems; however, none of the existing methods allows determining their point-on-wave inception and recovery instants (and consequently, their duration) accurately in all cases. The primary goal of this paper is to determine these instants with little or no delay, by calculating the absolute rms voltage difference between two adjacent sliding windows. The proposed method is based on the assumption that this difference is maximum when the sample under analysis corresponds to either the inception or the recovery instant. This method is valid for both sag and swell events, with or without transients. Evaluation of the proposed method performance for different types of events shows that it is robust and highly accurate in determining the inception and recovery instants. The estimation error for the majority of the events analyzed is either 0 or 1 sample (each sample corresponds to a phase-angle difference of 2.81°), while the worst performance is 3 samples. Journal Article IEEE Transactions on Power Delivery 1 1 0885-8977 1937-4208 31 12 2018 2018-12-31 10.1109/TPWRD.2018.2876682 COLLEGE NANME COLLEGE CODE Swansea University 2020-06-16T17:17:32.1986709 2018-10-17T12:25:54.7262151 Alvaro Furlani Bastos 1 Keng Weng Lao 2 Grazia Todeschini 0000-0001-9411-0726 3 Surya Santoso 4 0044927-17102018122849.pdf bastos2018(2).pdf 2018-10-17T12:28:49.3370000 Output 1067951 application/pdf Accepted Manuscript true 2018-10-17T00:00:00.0000000 false eng |
title |
Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells |
spellingShingle |
Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells Grazia Todeschini |
title_short |
Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells |
title_full |
Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells |
title_fullStr |
Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells |
title_full_unstemmed |
Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells |
title_sort |
Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells |
author_id_str_mv |
c4ff9050b31bdec0e560b19bfb3b56d3 |
author_id_fullname_str_mv |
c4ff9050b31bdec0e560b19bfb3b56d3_***_Grazia Todeschini |
author |
Grazia Todeschini |
author2 |
Alvaro Furlani Bastos Keng Weng Lao Grazia Todeschini Surya Santoso |
format |
Journal article |
container_title |
IEEE Transactions on Power Delivery |
container_start_page |
1 |
publishDate |
2018 |
institution |
Swansea University |
issn |
0885-8977 1937-4208 |
doi_str_mv |
10.1109/TPWRD.2018.2876682 |
document_store_str |
1 |
active_str |
0 |
description |
Voltage sags and swells are power quality events commonly observed in power systems; however, none of the existing methods allows determining their point-on-wave inception and recovery instants (and consequently, their duration) accurately in all cases. The primary goal of this paper is to determine these instants with little or no delay, by calculating the absolute rms voltage difference between two adjacent sliding windows. The proposed method is based on the assumption that this difference is maximum when the sample under analysis corresponds to either the inception or the recovery instant. This method is valid for both sag and swell events, with or without transients. Evaluation of the proposed method performance for different types of events shows that it is robust and highly accurate in determining the inception and recovery instants. The estimation error for the majority of the events analyzed is either 0 or 1 sample (each sample corresponds to a phase-angle difference of 2.81°), while the worst performance is 3 samples. |
published_date |
2018-12-31T04:44:50Z |
_version_ |
1822104109072777216 |
score |
11.363283 |