Methods of characterisation of DC partial discharge in polymeric cable insulation

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Partial discharge monitoring is frequently used in AC cable systems, and there exists a strong desire for the same for DC cables within the electrical power industry, given their recent increased use. However, DC PD is a less well understood phenomenon. This paper provides analysis of three methods of partial discharge characterisation: pulse duration and amplitude analysis, frequency-domain spectra analysis, and partial discharge inception voltage analysis in artificially-created voids in polymeric cable insulation samples (polyethylene and polypropylene) under both AC and positive and negative DC excitations. From these a ‘finger-print’ of the defects can be determined based on the distribution of energy within the discharge frequency spectrum, and the inception voltage.
LanguageEnglish
Title of host publication2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages4
ISBN (Electronic)9781538661925
DOIs
Publication statusPublished - 29 Nov 2018
Event2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena - Iberostar Hotel, Cancún, Mexico
Duration: 21 Oct 201824 Oct 2018
https://ieeedeis.org/ceidp2/

Conference

Conference2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena
Abbreviated titleCEIDP
CountryMexico
CityCancún
Period21/10/1824/10/18
Internet address

Fingerprint

Partial discharges
Insulation
Cables
Frequency domain analysis
Electric potential
Spectrum analysis
Polyethylenes
Polypropylenes
Defects
Monitoring
Industry

Keywords

  • partial discharge (PD)
  • HVDC insulation
  • power cables
  • polypropylene Insulation
  • polyethylene insulation

Cite this

Morris, E. A., Siew, W. H., & Given, M. J. (2018). Methods of characterisation of DC partial discharge in polymeric cable insulation. In 2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Piscataway, NJ: IEEE. https://doi.org/10.1109/CEIDP.2018.8544758
Morris, Euan A. ; Siew, W.H. ; Given, Martin J. / Methods of characterisation of DC partial discharge in polymeric cable insulation. 2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). Piscataway, NJ : IEEE, 2018.
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abstract = "Partial discharge monitoring is frequently used in AC cable systems, and there exists a strong desire for the same for DC cables within the electrical power industry, given their recent increased use. However, DC PD is a less well understood phenomenon. This paper provides analysis of three methods of partial discharge characterisation: pulse duration and amplitude analysis, frequency-domain spectra analysis, and partial discharge inception voltage analysis in artificially-created voids in polymeric cable insulation samples (polyethylene and polypropylene) under both AC and positive and negative DC excitations. From these a ‘finger-print’ of the defects can be determined based on the distribution of energy within the discharge frequency spectrum, and the inception voltage.",
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Morris, EA, Siew, WH & Given, MJ 2018, Methods of characterisation of DC partial discharge in polymeric cable insulation. in 2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). IEEE, Piscataway, NJ, 2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena, Cancún, Mexico, 21/10/18. https://doi.org/10.1109/CEIDP.2018.8544758

Methods of characterisation of DC partial discharge in polymeric cable insulation. / Morris, Euan A.; Siew, W.H.; Given, Martin J.

2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). Piscataway, NJ : IEEE, 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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N1 - © 2018 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.

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N2 - Partial discharge monitoring is frequently used in AC cable systems, and there exists a strong desire for the same for DC cables within the electrical power industry, given their recent increased use. However, DC PD is a less well understood phenomenon. This paper provides analysis of three methods of partial discharge characterisation: pulse duration and amplitude analysis, frequency-domain spectra analysis, and partial discharge inception voltage analysis in artificially-created voids in polymeric cable insulation samples (polyethylene and polypropylene) under both AC and positive and negative DC excitations. From these a ‘finger-print’ of the defects can be determined based on the distribution of energy within the discharge frequency spectrum, and the inception voltage.

AB - Partial discharge monitoring is frequently used in AC cable systems, and there exists a strong desire for the same for DC cables within the electrical power industry, given their recent increased use. However, DC PD is a less well understood phenomenon. This paper provides analysis of three methods of partial discharge characterisation: pulse duration and amplitude analysis, frequency-domain spectra analysis, and partial discharge inception voltage analysis in artificially-created voids in polymeric cable insulation samples (polyethylene and polypropylene) under both AC and positive and negative DC excitations. From these a ‘finger-print’ of the defects can be determined based on the distribution of energy within the discharge frequency spectrum, and the inception voltage.

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Morris EA, Siew WH, Given MJ. Methods of characterisation of DC partial discharge in polymeric cable insulation. In 2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). Piscataway, NJ: IEEE. 2018 https://doi.org/10.1109/CEIDP.2018.8544758