No Cover Image

Journal article 848 views 220 downloads

Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells

Alvaro Furlani Bastos, Keng Weng Lao, Grazia Todeschini, Surya Santoso

IEEE Transactions on Power Delivery, Pages: 1 - 1

Swansea University Author: Grazia Todeschini

Check full text

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...

Full description

Published in: IEEE Transactions on Power Delivery
ISSN: 0885-8977 1937-4208
Published: 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa44927
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2018-10-17T13:24:35Z
last_indexed 2020-06-16T18:58:44Z
id cronfa44927
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-06-16T17:17:32.1986709</datestamp><bib-version>v2</bib-version><id>44927</id><entry>2018-10-17</entry><title>Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells</title><swanseaauthors><author><sid>c4ff9050b31bdec0e560b19bfb3b56d3</sid><firstname>Grazia</firstname><surname>Todeschini</surname><name>Grazia Todeschini</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-10-17</date><deptcode>FGSEN</deptcode><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 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&#xB0;), while the worst performance is 3 samples.</abstract><type>Journal Article</type><journal>IEEE Transactions on Power Delivery</journal><paginationStart>1</paginationStart><paginationEnd>1</paginationEnd><publisher/><issnPrint>0885-8977</issnPrint><issnElectronic>1937-4208</issnElectronic><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-12-31</publishedDate><doi>10.1109/TPWRD.2018.2876682</doi><url/><notes/><college>COLLEGE NANME</college><department>Science and Engineering - Faculty</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>FGSEN</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-06-16T17:17:32.1986709</lastEdited><Created>2018-10-17T12:25:54.7262151</Created><authors><author><firstname>Alvaro Furlani</firstname><surname>Bastos</surname><order>1</order></author><author><firstname>Keng Weng</firstname><surname>Lao</surname><order>2</order></author><author><firstname>Grazia</firstname><surname>Todeschini</surname><order>3</order></author><author><firstname>Surya</firstname><surname>Santoso</surname><order>4</order></author></authors><documents><document><filename>0044927-17102018122849.pdf</filename><originalFilename>bastos2018(2).pdf</originalFilename><uploaded>2018-10-17T12:28:49.3370000</uploaded><type>Output</type><contentLength>1067951</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-10-17T00:00:00.0000000</embargoDate><copyrightCorrect>false</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 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 Grazia Todeschini Grazia Todeschini true false 2018-10-17 FGSEN 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 Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2020-06-16T17:17:32.1986709 2018-10-17T12:25:54.7262151 Alvaro Furlani Bastos 1 Keng Weng Lao 2 Grazia Todeschini 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 2018-12-31T03:56:25Z
_version_ 1763752842048307200
score 11.036334

Similar Items