Wireless Rogowski coil sensor based on partial discharge detection signal for on-line condition monitoring in the medium voltage power cables
Doctor of Philosophy in Electrical Systems Engineering
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Universiti Malaysia Perlis (UniMAP)
2017
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my.unimap-780432023-03-07T02:46:11Z Wireless Rogowski coil sensor based on partial discharge detection signal for on-line condition monitoring in the medium voltage power cables Mohamad Nur Khairul Hafizi, Rohani Muzamir, Isa, Assoc. Prof. Dr. Current transformers (Instrument transformer) Electric instrument transformers Electric discharges Chemical detectors Partial discharge (PD) Rogowski coil (RC) Doctor of Philosophy in Electrical Systems Engineering Partial discharge (PD) measurement provide a valuable information for assessing the insulation health in high voltage (HV) power system. In this research, a novel wireless Rogowski coil (RC) sensor based on PD detection in the medium voltage (MV) power cables is presented. This research is divided into three sections which are RC sensor development, pre-filtering technique and wireless integration. A series of investigations on sensitivity and bandwidth for four types of RC sensors was demonstrated. The prototype development first was carried out with the assistance of SolidWorks 3 dimension (3D) computer aided design (CAD) software and MakerBot 2X 3D printer. Subsequently, the sensors were modeled and simulated using Electromagnetic Transient Program-Alternative Transient Program (EMTP-ATP) software environment based on the lumped parameter identification. A single-end measuring technique was used as an on-line PD monitoring system on the three-phase medium voltage underground cross-link polyethylene (XLPE) insulated power cable with a 240 mm2 nominal area copper conductor. In order to verify the simulation results, an experimental measurement was carried out. This experiment was repeated concurrently for each design of the RC sensors and the precise selection for the best sensor is paramount. In this case, the results indicated that rectangular geometrical shape performed better with regard to the detection of the PD signal. The rectangular shapes of RC sensor has been selected in order to compare with the conventional RC sensor. Double-end technique measurement has been used where two of RC sensor is placed on the certain distance to analyse the propagation velocity and arrival time of PD signal captured by the sensor based on the different size of XPLE power cables. The analysis on accuracy of double-end and multi-end PD location technique have been conducted. The results between double-end and multi-end technique have 0.138 % and 0.026 % percentage error of PD location respectively. An experiment has been conducted in order to evaluate the effect of unshielded, shielded RC sensor and terminating resistance, . The is a part of parameter which can improve the performance of RC sensor. An operational amplifier (op-amp) and active Butterworth high-pass filter which has been designed using Sallen-key topology that is used to amplify and suppress the noise of output signal from RC sensor in the second section. The integration of RC sensor into wireless communication system has been discussed in the final section. High speed analog to digital converter (ADC) device is required to sample the PD signal due. However, the conventional ADC in the market is expensive in high speed rate. Thus, Sigma-Delta (ΣΔ) ADC topology is developed in Altera DE0-Nano board. Peak detection with threshold technique is introduced in this section. Then, the data transmitted wirelessly to the server unit using radio frequency (RF) module as a transceiver and Altera DE2-115 board is used as a server unit. In order to achieve the accurate digital sampling of high frequency PD signal, the N-bit resolution is paramount. The finding of this analysis, 4-bit resolution is selected in this research as the best resolution for the ΣΔ ADC to sampling the PD signal. 2017 2023-03-07T02:46:11Z 2023-03-07T02:46:11Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78043 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Electrical Systems Engineering |
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Current transformers (Instrument transformer) Electric instrument transformers Electric discharges Chemical detectors Partial discharge (PD) Rogowski coil (RC) |
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Current transformers (Instrument transformer) Electric instrument transformers Electric discharges Chemical detectors Partial discharge (PD) Rogowski coil (RC) Mohamad Nur Khairul Hafizi, Rohani Wireless Rogowski coil sensor based on partial discharge detection signal for on-line condition monitoring in the medium voltage power cables |
description |
Doctor of Philosophy in Electrical Systems Engineering |
author2 |
Muzamir, Isa, Assoc. Prof. Dr. |
author_facet |
Muzamir, Isa, Assoc. Prof. Dr. Mohamad Nur Khairul Hafizi, Rohani |
format |
Thesis |
author |
Mohamad Nur Khairul Hafizi, Rohani |
author_sort |
Mohamad Nur Khairul Hafizi, Rohani |
title |
Wireless Rogowski coil sensor based on partial discharge detection signal for on-line condition monitoring in the medium voltage power cables |
title_short |
Wireless Rogowski coil sensor based on partial discharge detection signal for on-line condition monitoring in the medium voltage power cables |
title_full |
Wireless Rogowski coil sensor based on partial discharge detection signal for on-line condition monitoring in the medium voltage power cables |
title_fullStr |
Wireless Rogowski coil sensor based on partial discharge detection signal for on-line condition monitoring in the medium voltage power cables |
title_full_unstemmed |
Wireless Rogowski coil sensor based on partial discharge detection signal for on-line condition monitoring in the medium voltage power cables |
title_sort |
wireless rogowski coil sensor based on partial discharge detection signal for on-line condition monitoring in the medium voltage power cables |
publisher |
Universiti Malaysia Perlis (UniMAP) |
publishDate |
2017 |
url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78043 |
_version_ |
1772813093008572416 |
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13.214268 |