Statistical analysis of partial discharge activity in CO2, N2 and technical air

Alenezi, Fatimah, Reid, Alistair ORCID: https://orcid.org/0000-0003-3058-9007, Jahanger, Hayder and Haddad, A.M. ORCID: https://orcid.org/0000-0003-4153-6146 2024. Statistical analysis of partial discharge activity in CO2, N2 and technical air. Presented at: 23rd International Symposium on High Voltage Engineering (ISH 2023), Glasgow, UK, 28 August 2023. Proceedings 23rd International Symposium on High Voltage Engineering. IET, pp. 222-228. 10.1049/icp.2024.0456

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Abstract

Partial discharges occur when there is a high enough electric field that causes ionisation of the gas molecules, leading to the formation of charged particles and subsequent electrical current flow. Phase-resolved partial discharge patterns provide a comprehensive view of partial discharge activity in electrical equipment in relation to the applied voltage. By analysing these patterns, it is possible to identify different types of partial discharge and the severity of insulation degradation to prevent equipment failure and power outages. This paper investigates quantifying the partial discharge occurring under each half-cycle of the applied voltage for artificial partial discharge defects. The gases utilised during testing are CO 2 , technical air and N 2 . The discharges occurring in each half-cycle are split according to polarity. A particular Gaussian curve is developed for each defect under a specific gas utilising histograms and the non-linear least squares fitting method. The plots developed for each case demonstrated an efficient way of visualising the partial discharge acquired from the testing, whilst also providing an efficient tool for quantitative comparison between different cases.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	IET
ISBN:	978-1-83953-992-3
Last Modified:	04 Oct 2024 15:08
URI:	https://orca.cardiff.ac.uk/id/eprint/172306

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