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Location of Partial Discharges within a Transformer Winding Using Principal Component Analysis

Location of Partial Discharges within a Transformer Winding Using Principal Component Analysis
Location of Partial Discharges within a Transformer Winding Using Principal Component Analysis
Partial discharge (PD) may occur in a transformer winding due to ageing processes or defects introduced during manufacture. A partial discharge is defined as a localised electric discharge that only partially bridges the dielectric insulator between conductors when the electric field exceeds a critical value. The presence of PD does not necessarily indicate imminent failure of the transformer but it is a serious degradation and ageing mechanism which can be considered as a precursor of transformer failure. PD might occur anywhere along the transformer winding and the discharge signal can propagate along the winding to the bushing and neutral to earth connections. As far as maintenance and replacement processes are concerned, it is important to identify the location of PD activity so any repair or replace decision is assured to be cost effective. Therefore, identification of a PD source as well as its location along the transformer winding is of great interest to both manufacturers and system operators. The wavelet transform is a mathematical function that can be used to decompose a PD signal into detail levels and an approximation. Wavelet filtering is often used to improve signal to noise ratio (SNR) of measured signals, but in this case it is used to identify the distribution of signal energies in both the time and frequency domains. This method produces a feature vector for each captured discharge signal. The use of principle component analysis (PCA) can compress this data into three dimensions, to aid visualisation. Data captured by sensors over hundreds of cycles of applied voltage can be analysed using this approach. An experiment (Figure 1) has been developed that can be used to create PD data in order to investigate the feasibility of using PCA analysis to identify PD source location.
31
Abd Rahman, M S
8217f865-63cf-4fa4-9f2b-19589bbdb2f0
Lewin, P L
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Hao, L
e6006548-3fc1-4a7e-9df4-a4e9a9a05c45
Abd Rahman, M S
8217f865-63cf-4fa4-9f2b-19589bbdb2f0
Lewin, P L
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Hao, L
e6006548-3fc1-4a7e-9df4-a4e9a9a05c45

Abd Rahman, M S, Lewin, P L and Hao, L (2011) Location of Partial Discharges within a Transformer Winding Using Principal Component Analysis. UHVnet 2011, United Kingdom. 18 - 19 Jan 2011. p. 31 .

Record type: Conference or Workshop Item (Poster)

Abstract

Partial discharge (PD) may occur in a transformer winding due to ageing processes or defects introduced during manufacture. A partial discharge is defined as a localised electric discharge that only partially bridges the dielectric insulator between conductors when the electric field exceeds a critical value. The presence of PD does not necessarily indicate imminent failure of the transformer but it is a serious degradation and ageing mechanism which can be considered as a precursor of transformer failure. PD might occur anywhere along the transformer winding and the discharge signal can propagate along the winding to the bushing and neutral to earth connections. As far as maintenance and replacement processes are concerned, it is important to identify the location of PD activity so any repair or replace decision is assured to be cost effective. Therefore, identification of a PD source as well as its location along the transformer winding is of great interest to both manufacturers and system operators. The wavelet transform is a mathematical function that can be used to decompose a PD signal into detail levels and an approximation. Wavelet filtering is often used to improve signal to noise ratio (SNR) of measured signals, but in this case it is used to identify the distribution of signal energies in both the time and frequency domains. This method produces a feature vector for each captured discharge signal. The use of principle component analysis (PCA) can compress this data into three dimensions, to aid visualisation. Data captured by sensors over hundreds of cycles of applied voltage can be analysed using this approach. An experiment (Figure 1) has been developed that can be used to create PD data in order to investigate the feasibility of using PCA analysis to identify PD source location.

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More information

Published date: 18 January 2011
Additional Information: Event Dates: 18-19 January 2011
Venue - Dates: UHVnet 2011, United Kingdom, 2011-01-18 - 2011-01-19
Organisations: Electronics & Computer Science, EEE

Identifiers

Local EPrints ID: 271883
URI: https://eprints.soton.ac.uk/id/eprint/271883
PURE UUID: 37d57ba1-9a74-4478-a59b-5da467427f36

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Date deposited: 07 Jan 2011 16:48
Last modified: 16 Oct 2018 16:31

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Contributors

Author: M S Abd Rahman
Author: P L Lewin
Author: L Hao

University divisions

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