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Conference Paper/Proceeding/Abstract 856 views 152 downloads

Comparison of Methods for Determining Inception and Recovery Points of Voltage Variation Events

Alvaro Furlani Bastos, Surya Santoso, Grazia Todeschini

2018 IEEE Power & Energy Society General Meeting (PESGM), Pages: 1 - 5

Swansea University Author: Grazia Todeschini

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DOI (Published version): 10.1109/pesgm.2018.8585977

Abstract

Voltage sags and swells occur often in power systems; however, determining the duration of these events is not straightforward. Seven methods for estimating the inception and recovery points (and consequently, the duration) of voltage sags and swells are surveyed: threshold rms voltage, waveform env...

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Published in: 2018 IEEE Power & Energy Society General Meeting (PESGM)
ISBN: 978-1-5386-7704-9 978-1-5386-7703-2
ISSN: 1944-9925 1944-9933
Published: Portland, OR, USA IEEE 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa43511
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first_indexed 2018-08-17T19:51:22Z
last_indexed 2019-02-11T11:50:53Z
id cronfa43511
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spelling v2 43511 2018-08-17 Comparison of Methods for Determining Inception and Recovery Points of Voltage Variation Events c4ff9050b31bdec0e560b19bfb3b56d3 Grazia Todeschini Grazia Todeschini true false 2018-08-17 FGSEN Voltage sags and swells occur often in power systems; however, determining the duration of these events is not straightforward. Seven methods for estimating the inception and recovery points (and consequently, the duration) of voltage sags and swells are surveyed: threshold rms voltage, waveform envelope, discrete wavelet transform, missing voltage, dq transformation, numerical matrix, and peak detector. Each method has its own strengths and weaknesses; however, no one method works on all conditions. An algorithmic approach to determining inception and recovery points is suggested. Such approach employs one method in combination with other methods based on the event characteristics. Conference Paper/Proceeding/Abstract 2018 IEEE Power &amp; Energy Society General Meeting (PESGM) 1 5 IEEE Portland, OR, USA 978-1-5386-7704-9 978-1-5386-7703-2 1944-9925 1944-9933 1 8 2018 2018-08-01 10.1109/pesgm.2018.8585977 http://dx.doi.org/10.1109/pesgm.2018.8585977 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2023-06-02T15:10:54.6572062 2018-08-17T16:14:39.3012217 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Alvaro Furlani Bastos 1 Surya Santoso 2 Grazia Todeschini 3 0043511-17082018161540.pdf 18PESGM0832v4.pdf 2018-08-17T16:15:40.7200000 Output 535645 application/pdf Accepted Manuscript true 2019-02-11T00:00:00.0000000 true eng
title Comparison of Methods for Determining Inception and Recovery Points of Voltage Variation Events
spellingShingle Comparison of Methods for Determining Inception and Recovery Points of Voltage Variation Events
Grazia Todeschini
title_short Comparison of Methods for Determining Inception and Recovery Points of Voltage Variation Events
title_full Comparison of Methods for Determining Inception and Recovery Points of Voltage Variation Events
title_fullStr Comparison of Methods for Determining Inception and Recovery Points of Voltage Variation Events
title_full_unstemmed Comparison of Methods for Determining Inception and Recovery Points of Voltage Variation Events
title_sort Comparison of Methods for Determining Inception and Recovery Points of Voltage Variation Events
author_id_str_mv c4ff9050b31bdec0e560b19bfb3b56d3
author_id_fullname_str_mv c4ff9050b31bdec0e560b19bfb3b56d3_***_Grazia Todeschini
author Grazia Todeschini
author2 Alvaro Furlani Bastos
Surya Santoso
Grazia Todeschini
format Conference Paper/Proceeding/Abstract
container_title 2018 IEEE Power &amp; Energy Society General Meeting (PESGM)
container_start_page 1
publishDate 2018
institution Swansea University
isbn 978-1-5386-7704-9
978-1-5386-7703-2
issn 1944-9925
1944-9933
doi_str_mv 10.1109/pesgm.2018.8585977
publisher IEEE
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
url http://dx.doi.org/10.1109/pesgm.2018.8585977
document_store_str 1
active_str 0
description Voltage sags and swells occur often in power systems; however, determining the duration of these events is not straightforward. Seven methods for estimating the inception and recovery points (and consequently, the duration) of voltage sags and swells are surveyed: threshold rms voltage, waveform envelope, discrete wavelet transform, missing voltage, dq transformation, numerical matrix, and peak detector. Each method has its own strengths and weaknesses; however, no one method works on all conditions. An algorithmic approach to determining inception and recovery points is suggested. Such approach employs one method in combination with other methods based on the event characteristics.
published_date 2018-08-01T15:10:53Z
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score 11.036334

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