Differentiation of Fault and Load Change in HVDC System using Amplitude Tracking Square Wave
For a HVDC system, a reliable power system protection should be quick and precise in identifying fault. It is also equally important to ensure some events that could be mistaken for fault to not trigger false alarm, for example load change. Wavelet transform is one of the well-known tools that i...
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sg-ntu-dr.10356-792672020-03-07T13:24:43Z Differentiation of Fault and Load Change in HVDC System using Amplitude Tracking Square Wave Ukil, Abishek Yew, Ming Yeap School of Electrical and Electronic Engineering IEEE PowerTech Conference (11th:2015:Eindhoven, Netherlands) For a HVDC system, a reliable power system protection should be quick and precise in identifying fault. It is also equally important to ensure some events that could be mistaken for fault to not trigger false alarm, for example load change. Wavelet transform is one of the well-known tools that is able to achieve this purpose. In this paper, the fault analysis using a novel Amplitude Tracking Square Wave (ATSW) is studied. The algorithm is very easy to be implemented, as only timedomain analysis is involved. Notwithstanding the low complexity, it can work as effective as the wavelet transform, as proven by comparing the results obtained from these two signal processing techniques. Accepted version 2015-09-29T09:25:03Z 2019-12-06T13:21:13Z 2015-09-29T09:25:03Z 2019-12-06T13:21:13Z 2015 2015 Conference Paper Yew, M. Y., & Abhisek, U. (2015). Differentiation of Fault and Load Change in HVDC System using Amplitude Tracking Square Wave. 2015 IEEE Eindhoven PowerTech Conference. https://hdl.handle.net/10356/79267 http://hdl.handle.net/10220/38755 10.1109/PTC.2015.7232301 en © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/PTC.2015.7232301]. 5 p. application/pdf |
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English |
| description |
For a HVDC system, a reliable power system protection
should be quick and precise in identifying fault. It is also
equally important to ensure some events that could be mistaken
for fault to not trigger false alarm, for example load change.
Wavelet transform is one of the well-known tools that is able
to achieve this purpose. In this paper, the fault analysis using
a novel Amplitude Tracking Square Wave (ATSW) is studied.
The algorithm is very easy to be implemented, as only timedomain
analysis is involved. Notwithstanding the low complexity,
it can work as effective as the wavelet transform, as proven by
comparing the results obtained from these two signal processing
techniques. |
| author2 |
School of Electrical and Electronic Engineering |
| author_facet |
School of Electrical and Electronic Engineering Ukil, Abishek Yew, Ming Yeap |
| format |
Conference or Workshop Item |
| author |
Ukil, Abishek Yew, Ming Yeap |
| spellingShingle |
Ukil, Abishek Yew, Ming Yeap Differentiation of Fault and Load Change in HVDC System using Amplitude Tracking Square Wave |
| author_sort |
Ukil, Abishek |
| title |
Differentiation of Fault and Load Change in HVDC System using Amplitude Tracking Square Wave |
| title_short |
Differentiation of Fault and Load Change in HVDC System using Amplitude Tracking Square Wave |
| title_full |
Differentiation of Fault and Load Change in HVDC System using Amplitude Tracking Square Wave |
| title_fullStr |
Differentiation of Fault and Load Change in HVDC System using Amplitude Tracking Square Wave |
| title_full_unstemmed |
Differentiation of Fault and Load Change in HVDC System using Amplitude Tracking Square Wave |
| title_sort |
differentiation of fault and load change in hvdc system using amplitude tracking square wave |
| publishDate |
2015 |
| url |
https://hdl.handle.net/10356/79267 http://hdl.handle.net/10220/38755 |
| _version_ |
1681036383956762624 |