Unknown PD distinction in HVAC/HVDC by antenna-sensor with pulse sequence analysis
Ultra-high frequency (UHF) antenna-sensors are becoming popular for non-invasive detection of unwanted electric discharge i.e., partial discharge (PD) in high-voltage (HV) systems. Early PD signals are weak for detection and classification by UHF antenna-sensors. Early PD detection and distinction a...
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Elsevier B.V.
2024
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Online Access: | http://eprints.utem.edu.my/id/eprint/27638/2/0261428032024161553744.PDF http://eprints.utem.edu.my/id/eprint/27638/ https://www.sciencedirect.com/science/article/pii/S1110016824001443 https://doi.org/10.1016/j.aej.2024.02.013 |
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my.utem.eprints.276382024-10-04T15:39:17Z http://eprints.utem.edu.my/id/eprint/27638/ Unknown PD distinction in HVAC/HVDC by antenna-sensor with pulse sequence analysis Othman, Mohamadariff Kayser Azam, S. M. Illias, Hazlee Azil Abdul Latef, Tarik Fahmi, Daniar Wong, Jee Keen Raymond Wan Mahadi, Wan Nor Liza Abdul Kayum Mohammad, Zakir Hossain Abd Aziz, Mohamad Zoinol Abidin Ababneh, Ahmad Ultra-high frequency (UHF) antenna-sensors are becoming popular for non-invasive detection of unwanted electric discharge i.e., partial discharge (PD) in high-voltage (HV) systems. Early PD signals are weak for detection and classification by UHF antenna-sensors. Early PD detection and distinction are crucial to prevent equipment failure. Typically, PD signals are distinguished in HVAC by phase resolved PD (PRPD) patterns. Whereas in HVDC, some unconventional methods are applied. However, a blind distinction of PDs under unknown HVAC/HVDC conditions still remains a challenge. In this article, we address this issue by using a lotus-shaped UHF antenna-sensor for early PD detection. Unlike cut-and-try technique-based conventionally designed bio-inspired antennas, our sensor is designed by a precisely derived equivalent circuit model to systematically optimize antenna gain over size to detect early PDs. The fabricated sensor has a size of 18×11 cm2, an average realized gain of 3.05 dBi in 740–1600 MHz frequencies, and a sensitivity index of 154.04 dBi/m2. The sensor prototype is applied to wirelessly distinguish PD signals from unknown sources under HVAC and HVDC by pulse sequence analysis. Early detection, characterization, and distinction of unknown PD signals are ensured by the proposed sensor and interpretation technique. This work offers a distinctive PD sensing method for HVAC/HVDC converter stations. Elsevier B.V. 2024-03 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27638/2/0261428032024161553744.PDF Othman, Mohamadariff and Kayser Azam, S. M. and Illias, Hazlee Azil and Abdul Latef, Tarik and Fahmi, Daniar and Wong, Jee Keen Raymond and Wan Mahadi, Wan Nor Liza and Abdul Kayum Mohammad, Zakir Hossain and Abd Aziz, Mohamad Zoinol Abidin and Ababneh, Ahmad (2024) Unknown PD distinction in HVAC/HVDC by antenna-sensor with pulse sequence analysis. Alexandria Engineering Journal, 91. pp. 457-471. ISSN 1110-0168 https://www.sciencedirect.com/science/article/pii/S1110016824001443 https://doi.org/10.1016/j.aej.2024.02.013 |
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Ultra-high frequency (UHF) antenna-sensors are becoming popular for non-invasive detection of unwanted electric discharge i.e., partial discharge (PD) in high-voltage (HV) systems. Early PD signals are weak for detection and classification by UHF antenna-sensors. Early PD detection and distinction are crucial to prevent equipment failure. Typically, PD signals are distinguished in HVAC by phase resolved PD (PRPD) patterns. Whereas in HVDC, some unconventional methods are applied. However, a blind distinction of PDs under unknown HVAC/HVDC conditions still remains a challenge. In this article, we address this issue by using a lotus-shaped UHF antenna-sensor for early PD detection. Unlike cut-and-try technique-based conventionally designed bio-inspired antennas, our sensor is designed by a precisely derived equivalent circuit model to systematically
optimize antenna gain over size to detect early PDs. The fabricated sensor has a size of 18×11 cm2, an average
realized gain of 3.05 dBi in 740–1600 MHz frequencies, and a sensitivity index of 154.04 dBi/m2. The sensor prototype is applied to wirelessly distinguish PD signals from unknown sources under HVAC and HVDC by pulse sequence analysis. Early detection, characterization, and distinction of unknown PD signals are ensured by the proposed sensor and interpretation technique. This work offers a distinctive PD sensing method for HVAC/HVDC converter stations. |
format |
Article |
author |
Othman, Mohamadariff Kayser Azam, S. M. Illias, Hazlee Azil Abdul Latef, Tarik Fahmi, Daniar Wong, Jee Keen Raymond Wan Mahadi, Wan Nor Liza Abdul Kayum Mohammad, Zakir Hossain Abd Aziz, Mohamad Zoinol Abidin Ababneh, Ahmad |
spellingShingle |
Othman, Mohamadariff Kayser Azam, S. M. Illias, Hazlee Azil Abdul Latef, Tarik Fahmi, Daniar Wong, Jee Keen Raymond Wan Mahadi, Wan Nor Liza Abdul Kayum Mohammad, Zakir Hossain Abd Aziz, Mohamad Zoinol Abidin Ababneh, Ahmad Unknown PD distinction in HVAC/HVDC by antenna-sensor with pulse sequence analysis |
author_facet |
Othman, Mohamadariff Kayser Azam, S. M. Illias, Hazlee Azil Abdul Latef, Tarik Fahmi, Daniar Wong, Jee Keen Raymond Wan Mahadi, Wan Nor Liza Abdul Kayum Mohammad, Zakir Hossain Abd Aziz, Mohamad Zoinol Abidin Ababneh, Ahmad |
author_sort |
Othman, Mohamadariff |
title |
Unknown PD distinction in HVAC/HVDC by antenna-sensor with pulse sequence analysis |
title_short |
Unknown PD distinction in HVAC/HVDC by antenna-sensor with pulse sequence analysis |
title_full |
Unknown PD distinction in HVAC/HVDC by antenna-sensor with pulse sequence analysis |
title_fullStr |
Unknown PD distinction in HVAC/HVDC by antenna-sensor with pulse sequence analysis |
title_full_unstemmed |
Unknown PD distinction in HVAC/HVDC by antenna-sensor with pulse sequence analysis |
title_sort |
unknown pd distinction in hvac/hvdc by antenna-sensor with pulse sequence analysis |
publisher |
Elsevier B.V. |
publishDate |
2024 |
url |
http://eprints.utem.edu.my/id/eprint/27638/2/0261428032024161553744.PDF http://eprints.utem.edu.my/id/eprint/27638/ https://www.sciencedirect.com/science/article/pii/S1110016824001443 https://doi.org/10.1016/j.aej.2024.02.013 |
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1812129255818002432 |
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13.211869 |