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Partial discharge detection and location technique based on segmented correlation trimmed mean algorithm for power cable

Doctor of Philosophy in Electrical Systems Engineering

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Bibliographic Details
Main Author: Chai, Chang Yii
Other Authors: Muzamir, Isa, Assoc. Prof. Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2017
Subjects:
Electric discharges
Current transformers (Instrument transformer)
Electric instrument transformers
Chemical detectors
Power cable
Partial discharge (PD)
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78039
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spelling my.unimap-780392023-03-07T02:23:11Z Partial discharge detection and location technique based on segmented correlation trimmed mean algorithm for power cable Chai, Chang Yii Muzamir, Isa, Assoc. Prof. Dr. Electric discharges Current transformers (Instrument transformer) Electric instrument transformers Chemical detectors Power cable Partial discharge (PD) Doctor of Philosophy in Electrical Systems Engineering Power cable may suffer from insulation degradation after a certain period of time because of environment, mechanical and electrical factors. Partial discharge (PD) at void or cavity of power cable’s insulation will lead to the power system breakdown in the near future. Nowadays, many PD location devices had been invented to estimate PD location on power cable. New technology has enabled PD estimation to evolve from offline PD estimation to online PD estimation. Advanced signal processing technique can be implemented in those devices in order to estimate PD location accurately. In this thesis, segmented correlation trimmed mean (SCTM) algorithm is proposed to estimate PD location on medium voltage (MV) power cable. The algorithm uses segmented correlation technique and trimmed mean data filtering technique to enhance the accuracy of the estimated PD location. Two experiments have been performed to test the program execution time and accuracy against noise of the algorithm. The algorithm had been tested in Matrix Laboratory (MATLAB) environment which consists modelled PD signals and different levels of white Gaussian noise (WGN) and discrete spectral interference (DSI). Discrete wavelet transform (DWT) de-nosing technique has been used for noise suppression. The first experiment is performed by increasing the sampling number of measured signal while recording the program execution time of the algorithm. The second experiment is performed by increasing the level of WGN and DSI while recording the maximum percentage error of the estimated PD location. The results from both experiments are compared with the existing multi-end correlation (MEC) algorithm. The results shown that the SCTM algorithm has longer time but lower maximum percentage error of the estimated PD location than MEC algorithm. In conclusion, SCTM algorithm is more suitable to apply in PD location estimation system for power cable due to its lower maximum percentage error. 2017 2023-03-07T02:23:11Z 2023-03-07T02:23:11Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78039 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Electrical Systems Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Electric discharges
Current transformers (Instrument transformer)
Electric instrument transformers
Chemical detectors
Power cable
Partial discharge (PD)
spellingShingle Electric discharges
Current transformers (Instrument transformer)
Electric instrument transformers
Chemical detectors
Power cable
Partial discharge (PD)
Chai, Chang Yii
Partial discharge detection and location technique based on segmented correlation trimmed mean algorithm for power cable
description Doctor of Philosophy in Electrical Systems Engineering
author2 Muzamir, Isa, Assoc. Prof. Dr.
author_facet Muzamir, Isa, Assoc. Prof. Dr.
Chai, Chang Yii
format Thesis
author Chai, Chang Yii
author_sort Chai, Chang Yii
title Partial discharge detection and location technique based on segmented correlation trimmed mean algorithm for power cable
title_short Partial discharge detection and location technique based on segmented correlation trimmed mean algorithm for power cable
title_full Partial discharge detection and location technique based on segmented correlation trimmed mean algorithm for power cable
title_fullStr Partial discharge detection and location technique based on segmented correlation trimmed mean algorithm for power cable
title_full_unstemmed Partial discharge detection and location technique based on segmented correlation trimmed mean algorithm for power cable
title_sort partial discharge detection and location technique based on segmented correlation trimmed mean algorithm for power cable
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2017
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78039
_version_ 1772813092496867328
score 13.214268

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