LAPSE:2023.22506
Published Article

LAPSE:2023.22506
Hybrid Sensing of Internal and Surface Partial Discharges in Air-Insulated Medium Voltage Switchgear
March 24, 2023
Abstract
Partial discharge (PD) measurements have proved their reliability for health monitoring of insulation systems in power system components including synchronous generators, power transformers, switchgear and cables etc. Online condition monitoring and pro-active detection of PD faults have been highly demanded over the last two decades. This paper provides results from a research project to develop advanced non-intrusive sensing technologies that are cost effective, reliable and efficient for early detection of PD faults in medium voltage (MV) and high voltage (HV) air-insulated switchgear. Three sensors (high frequency E-field (D-dot) sensor, Rogowski coil and loop antenna) have been developed and tested under various PD faults and their performance were evaluated in comparison with high frequency current transformer (HFCT) which is being used commercially for PD testing and measurement. Among these three sensors, it is shown that D-dot sensor and Rogowski coil are more dependable when it comes to the PD measurements due to their high signal to noise ratio and hence high accuracy. These sensors can be customized according to a specific application and can be connected together with one data acquisition device while developing an online condition monitoring system.
Partial discharge (PD) measurements have proved their reliability for health monitoring of insulation systems in power system components including synchronous generators, power transformers, switchgear and cables etc. Online condition monitoring and pro-active detection of PD faults have been highly demanded over the last two decades. This paper provides results from a research project to develop advanced non-intrusive sensing technologies that are cost effective, reliable and efficient for early detection of PD faults in medium voltage (MV) and high voltage (HV) air-insulated switchgear. Three sensors (high frequency E-field (D-dot) sensor, Rogowski coil and loop antenna) have been developed and tested under various PD faults and their performance were evaluated in comparison with high frequency current transformer (HFCT) which is being used commercially for PD testing and measurement. Among these three sensors, it is shown that D-dot sensor and Rogowski coil are more dependable when it comes to the PD measurements due to their high signal to noise ratio and hence high accuracy. These sensors can be customized according to a specific application and can be connected together with one data acquisition device while developing an online condition monitoring system.
Record ID
Keywords
condition monitoring, insulation, online monitoring, partial discharge (PD), pre-emptive, sensors
Subject
Suggested Citation
Hussain GA, Zaher AA, Hummes D, Safdar M, Lehtonen M. Hybrid Sensing of Internal and Surface Partial Discharges in Air-Insulated Medium Voltage Switchgear. (2023). LAPSE:2023.22506
Author Affiliations
Hussain GA: Department of Engineering, College of Engineering and Applied Sciences, American University of Kuwait, Safat 13034, Kuwait [ORCID]
Zaher AA: Department of Engineering, College of Engineering and Applied Sciences, American University of Kuwait, Safat 13034, Kuwait [ORCID]
Hummes D: Department of Engineering, College of Engineering and Applied Sciences, American University of Kuwait, Safat 13034, Kuwait
Safdar M: Department of Electrical and Automation Engineering, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland [ORCID]
Lehtonen M: Department of Electrical and Automation Engineering, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland [ORCID]
Zaher AA: Department of Engineering, College of Engineering and Applied Sciences, American University of Kuwait, Safat 13034, Kuwait [ORCID]
Hummes D: Department of Engineering, College of Engineering and Applied Sciences, American University of Kuwait, Safat 13034, Kuwait
Safdar M: Department of Electrical and Automation Engineering, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland [ORCID]
Lehtonen M: Department of Electrical and Automation Engineering, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland [ORCID]
Journal Name
Energies
Volume
13
Issue
7
Article Number
E1738
Year
2020
Publication Date
2020-04-05
ISSN
1996-1073
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Original Submission
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PII: en13071738, Publication Type: Journal Article
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LAPSE:2023.22506
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https://doi.org/10.3390/en13071738
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Mar 24, 2023
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