Partial Discharge Based Risk Assessment Framework for MV Switchgear Containing Electrical Defects

Partial discharge (PD) diagnostics is regarded as one of the powerful methods for the detection of potential electrical insulation defects in a medium voltage (MV) and high voltage (HV) switchgear. This article proposes a risk-based approach to identify the severity of several critical electrical de...

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Main Authors: Hussain G.A., Hassan W., Mahmood F., Kay J.A.
Other Authors: 57203105565
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Published: Institute of Electrical and Electronics Engineers Inc. 2024
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spelling my.uniten.dspace-339682024-10-14T11:17:32Z Partial Discharge Based Risk Assessment Framework for MV Switchgear Containing Electrical Defects Hussain G.A. Hassan W. Mahmood F. Kay J.A. 57203105565 56038670200 55248232600 8853452700 Cumulative energy function insulation defects MV/ HV switchgear partial discharge measurements probability distributions risk assessment Condition monitoring Cost engineering Defects Electric insulation Electric switchgear Outages Partial discharges Probability distributions Risk assessment Risk management Risk perception Cumulative energy Cumulative energy function Energy functions High voltage switchgear Insulation defects Medium voltage Medium voltage/ high voltage switchgear Partial discharge measurements Probability: distributions Risks assessments Risks management Chemical industry Partial discharge (PD) diagnostics is regarded as one of the powerful methods for the detection of potential electrical insulation defects in a medium voltage (MV) and high voltage (HV) switchgear. This article proposes a risk-based approach to identify the severity of several critical electrical defects in MV/ HV switchgear through PD testing. To accomplish this, several defects have been artificially created in a MV switchgear. The testing was carried out in the laboratory to investigate the characteristics of PD signals using D-dot sensor previously used and validated by the authors. Accordingly, the specific PD intensity of the discharge pulse has been considered as stress parameter and statistically modeled by an appropriate probability distribution. In this way, the probability of dielectric failure has been statistically quantified. The consequences of dielectric failure, and hence, the failure of the switchgear have been presented in terms of power outage cost and repair expenditures. The risk assessment is carried out by combing the probability of failure and its consequence. The estimated risk is an indication of the severity of the fault and can be specified as low, medium, high, or maximum. In this way, the proposed approach can be easily adopted by asset manager for risk assessment of switchgear in the petroleum and chemical industries. � 1972-2012 IEEE. Final 2024-10-14T03:17:32Z 2024-10-14T03:17:32Z 2023 Article 10.1109/TIA.2023.3299902 2-s2.0-85166752658 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166752658&doi=10.1109%2fTIA.2023.3299902&partnerID=40&md5=c428b465cc91900f60a38667f72cb225 https://irepository.uniten.edu.my/handle/123456789/33968 59 6 7868 7875 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Cumulative energy function
insulation defects
MV/ HV switchgear
partial discharge measurements
probability distributions
risk assessment
Condition monitoring
Cost engineering
Defects
Electric insulation
Electric switchgear
Outages
Partial discharges
Probability distributions
Risk assessment
Risk management
Risk perception
Cumulative energy
Cumulative energy function
Energy functions
High voltage switchgear
Insulation defects
Medium voltage
Medium voltage/ high voltage switchgear
Partial discharge measurements
Probability: distributions
Risks assessments
Risks management
Chemical industry
spellingShingle Cumulative energy function
insulation defects
MV/ HV switchgear
partial discharge measurements
probability distributions
risk assessment
Condition monitoring
Cost engineering
Defects
Electric insulation
Electric switchgear
Outages
Partial discharges
Probability distributions
Risk assessment
Risk management
Risk perception
Cumulative energy
Cumulative energy function
Energy functions
High voltage switchgear
Insulation defects
Medium voltage
Medium voltage/ high voltage switchgear
Partial discharge measurements
Probability: distributions
Risks assessments
Risks management
Chemical industry
Hussain G.A.
Hassan W.
Mahmood F.
Kay J.A.
Partial Discharge Based Risk Assessment Framework for MV Switchgear Containing Electrical Defects
description Partial discharge (PD) diagnostics is regarded as one of the powerful methods for the detection of potential electrical insulation defects in a medium voltage (MV) and high voltage (HV) switchgear. This article proposes a risk-based approach to identify the severity of several critical electrical defects in MV/ HV switchgear through PD testing. To accomplish this, several defects have been artificially created in a MV switchgear. The testing was carried out in the laboratory to investigate the characteristics of PD signals using D-dot sensor previously used and validated by the authors. Accordingly, the specific PD intensity of the discharge pulse has been considered as stress parameter and statistically modeled by an appropriate probability distribution. In this way, the probability of dielectric failure has been statistically quantified. The consequences of dielectric failure, and hence, the failure of the switchgear have been presented in terms of power outage cost and repair expenditures. The risk assessment is carried out by combing the probability of failure and its consequence. The estimated risk is an indication of the severity of the fault and can be specified as low, medium, high, or maximum. In this way, the proposed approach can be easily adopted by asset manager for risk assessment of switchgear in the petroleum and chemical industries. � 1972-2012 IEEE.
author2 57203105565
author_facet 57203105565
Hussain G.A.
Hassan W.
Mahmood F.
Kay J.A.
format Article
author Hussain G.A.
Hassan W.
Mahmood F.
Kay J.A.
author_sort Hussain G.A.
title Partial Discharge Based Risk Assessment Framework for MV Switchgear Containing Electrical Defects
title_short Partial Discharge Based Risk Assessment Framework for MV Switchgear Containing Electrical Defects
title_full Partial Discharge Based Risk Assessment Framework for MV Switchgear Containing Electrical Defects
title_fullStr Partial Discharge Based Risk Assessment Framework for MV Switchgear Containing Electrical Defects
title_full_unstemmed Partial Discharge Based Risk Assessment Framework for MV Switchgear Containing Electrical Defects
title_sort partial discharge based risk assessment framework for mv switchgear containing electrical defects
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2024
_version_ 1814061160178122752
score 13.214268