Yanuar Z. Arief
Institute of High Voltage & High Current (IVAT), Facuty of Electrical Engineering, Universiti Teknologi Malaysia (UTM)

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Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Partial Discharge Monitoring System on High Voltage Equipments using Electroacoustic Technique W. M. S. W. Mahmood; Yanuar Z. Arief; Zuraimy Adzis; Nor Asiah Muhamad; Muhammad Abu Bakar Sidik; Zainuddin Nawawi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (894.596 KB) | DOI: 10.11591/eecsi.v1.424

Abstract

Partial discharge (PD) monitoring system is considered as one of the most promising solutions for monitoring and detecting possible faults. PD is able to diagnose faults within the system in the most fundamental and simplest way. PD monitoring and measurement of high voltage equipment substations panel and power transformers have not gained the same attention in the electrical community as compared to those of rotating machines. PD tests are conducted on-site to verify the insulation of bushings, termination box and windings. The cost of an unexpected outage may be considerably more significant for a high voltage substation panel and power transformers system than just for a single motor failure. In this research, the electroacoustic PD monitoring technique is used, which is a combination of internal PD detection and ultrasound or surface PD detection was used. The testing equipment which will be used in this research is UltraTEV Plus+ equipment from EA Technology. Result shows the transient earth voltage (TEV) PD magnitude fluctuates with time. Significant high value of PD magnitude (> 19 dB) was detected and recorded at several switchgear panel and transformer. However, for the ultrasound or surface PD, from the monitoring and measurement record, no detection of PD signal was recorded at the UltraTEV Plus+ testing equipment
Development of Compact On-Line Partial Discharge Analyzer Assessing Nanocomposite Insulation Performance for Research Purpose Aulia .; Yanuar Z. Arief; Zulkurnain Abduk-Malek; Zuraimy Adzis; Nor Asiah Muhamad; Muhammad Abu Bakar Sidik; Zainuddin Nawawi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1001.909 KB) | DOI: 10.11591/eecsi.v1.428

Abstract

Analyzing on-line partial discharge (PD) data using commercially available spreadsheet application software like Microsoft Excel is possible but very difficult to do. The problem is because the PD data are quite long and depend on the sampling rate used during testing. Increasing the sampling rate will increase data samples in one cycle of 50 Hz waveform, and longer time is needed to analyze the data. A further problem is associated with compiling the PD data; Excel uses a large memory to run, plot and calculate the PD data for analysis purpose, and sometimes this leads to computer memory crash. Due to this problem, an alternative on-line PD analyzer (on-LPDA) needs to be developed. This paper reports on the performance of the software that was developed using LabViewTM 8.5. The result shows that the software can extract PD parameters like PD numbers, PD magnitude, and plotting PD pattern without large time and memory consumption, compared with Excel, and experiences no memory crash up to 125 mega sampling (MS) rate.