Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation

The detection of Partial Discharge (PD) is a useful tool in the maintenance and operation of electrical high voltage power cables. It has attracted many research and development efforts within the past one and a half decade. However, questions regarding the analysis and interpretation of PD data are...

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Main Author: Questelles, Kenroy Alexander
Format: Thesis
Language:en
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/1778/1/KenroyAlexanderQuestellesMED2006.pdf
http://eprints.utm.my/1778/
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author Questelles, Kenroy Alexander
author_facet Questelles, Kenroy Alexander
author_sort Questelles, Kenroy Alexander
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description The detection of Partial Discharge (PD) is a useful tool in the maintenance and operation of electrical high voltage power cables. It has attracted many research and development efforts within the past one and a half decade. However, questions regarding the analysis and interpretation of PD data are still unanswered. In this research, an attempt is made to develop a simulation programme that can be used for developing a better understanding of the nature of PD phenomena based on its stochastic nature. It is done in consideration to the statistical properties of measured PD data from previous research, as well as the use of trial and error to obtain some parameters. Simulation was done in an effort to reconstruct the electrical field model of voids in polymeric cables using MATLAB M-files and statistical data from Phase Resolve Partial Discharge (PRPD) patterns. Such modeling can work for both electrical and acoustic data and may be used as a basis for comparison of future PD detection outcomes. The results indicates that the model worked well in the reconstruction of the field patterns of voids from given time and statistical data using the computer programme developed. Though the time was limited, the result seems to present new insight regarding the field patterns in the void. Phase and time data were combined in an effort to realize the objectives.
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spelling my.utm.eprints-17782018-04-27T01:09:56Z http://eprints.utm.my/1778/ Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation Questelles, Kenroy Alexander TK Electrical engineering. Electronics Nuclear engineering The detection of Partial Discharge (PD) is a useful tool in the maintenance and operation of electrical high voltage power cables. It has attracted many research and development efforts within the past one and a half decade. However, questions regarding the analysis and interpretation of PD data are still unanswered. In this research, an attempt is made to develop a simulation programme that can be used for developing a better understanding of the nature of PD phenomena based on its stochastic nature. It is done in consideration to the statistical properties of measured PD data from previous research, as well as the use of trial and error to obtain some parameters. Simulation was done in an effort to reconstruct the electrical field model of voids in polymeric cables using MATLAB M-files and statistical data from Phase Resolve Partial Discharge (PRPD) patterns. Such modeling can work for both electrical and acoustic data and may be used as a basis for comparison of future PD detection outcomes. The results indicates that the model worked well in the reconstruction of the field patterns of voids from given time and statistical data using the computer programme developed. Though the time was limited, the result seems to present new insight regarding the field patterns in the void. Phase and time data were combined in an effort to realize the objectives. 2006-05 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/1778/1/KenroyAlexanderQuestellesMED2006.pdf Questelles, Kenroy Alexander (2006) Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Questelles, Kenroy Alexander
Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
title Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
title_full Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
title_fullStr Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
title_full_unstemmed Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
title_short Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
title_sort developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/1778/1/KenroyAlexanderQuestellesMED2006.pdf
http://eprints.utm.my/1778/
url_provider http://eprints.utm.my/