Projects per year
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.
Original language | English |
---|---|
Title of host publication | 2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Number of pages | 4 |
ISBN (Electronic) | 9781538661925 |
DOIs | |
Publication status | Published - 29 Nov 2018 |
Event | 2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena - Iberostar Hotel, Cancún, Mexico Duration: 21 Oct 2018 → 24 Oct 2018 https://ieeedeis.org/ceidp2/ |
Conference
Conference | 2018 IEEE Conference on Electrical Insulation and Dielectric Phenomena |
---|---|
Abbreviated title | CEIDP |
Country/Territory | Mexico |
City | Cancún |
Period | 21/10/18 → 24/10/18 |
Internet address |
Keywords
- partial discharge (PD)
- HVDC insulation
- power cables
- polypropylene Insulation
- polyethylene insulation
Fingerprint
Dive into the research topics of 'Methods of characterisation of DC partial discharge in polymeric cable insulation'. Together they form a unique fingerprint.Projects
- 1 Finished
-
EPSRC Centre for Doctoral Training in Future Power Networks and Smart Grids | Morris, Euan
Siew, W. H., Given, M. & Morris, E.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/14 → 28/07/20
Project: Research Studentship - Internally Allocated
Datasets
-
Time & Frequency Domain Partial Discharge Measurements of Voids in Layered Polymer Samples (Doble PDS 200 & LeCroy Waverunner 104Xi)
Morris, E. (Creator) & Siew, W. H. (Supervisor), University of Strathclyde, 9 Aug 2018
DOI: 10.15129/17db8538-ea35-438f-bc20-3da16b56b011
Dataset