Next Article in Journal
The Potential of Advanced Scatterometer (ASCAT) 12.5 km Coastal Observations for Offshore Wind Farm Site Selection in Irish Waters
Previous Article in Journal
Risk Assessment and Its Visualization of Power Tower under Typhoon Disaster Based on Machine Learning Algorithms
Article Menu
Issue 2 (January-2) cover image

Export Article

Open AccessArticle
Energies 2019, 12(2), 204; https://doi.org/10.3390/en12020204

Surface Discharge Analysis of High Voltage Glass Insulators Using Ultraviolet Pulse Voltage

1
Tenaga Nasional Berhad, Tumpat 16250, Kelantan, Malaysia
2
Power Equipment & Electrical Machinery Development Institute (PEEMADI), National Agency for Science and Engineering Infrastructure (NASENI), P.M.B 1029 Okene, Kogi State, Nigeria
3
School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), 14300 Nibong Tebal, Malaysia
4
Institute of High Voltage and High Current (IVAT), Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
5
Faculty of Education, University of Malaya, 50603 Kuala Lumpur, Malaysia
*
Author to whom correspondence should be addressed.
Received: 14 December 2018 / Revised: 4 January 2019 / Accepted: 7 January 2019 / Published: 9 January 2019
Full-Text   |   PDF [14496 KB, uploaded 14 January 2019]   |  

Abstract

Surface discharges are precursors to flashover. To pre-empt the occurrence of flashover incidents, utility companies need to regularly monitor the condition of line insulators. Recent studies have shown that monitoring of UV signals emitted by surface discharges of insulators is a promising technique. In this work, the UV signals’ time and frequency components of a set of contaminated and field-aged insulator under varying contamination levels and degrees of ageing were studied. Experimental result shows that a strong correlation exists between the discharge intensity levels under varying contamination levels and degree of ageing. As the contamination level increases, the discharge level of the insulator samples also intensifies, resulting in the increase of total harmonic distortion and fundamental frequencies. Total harmonic distortion and fundamental frequencies of the UV signals were employed to develop a technique based on artificial neural networks (ANNs) to classify the flashover prediction based on the discharge intensity levels of the insulator samples. The results of the ANN simulation showed 87% accuracy in the performance index. This study illustrates that the UV pulse detection method is a potential tool to monitor insulator surface conditions during service. View Full-Text
Keywords: contamination flashover; ultraviolet; glass insulator; total harmonic distortion; artificial neutral network; surface discharges contamination flashover; ultraviolet; glass insulator; total harmonic distortion; artificial neutral network; surface discharges
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Suhaimi, S.M.I.; Bashir, N.; Muhamad, N.A.; Rahim, N.N.A.; Ahmad, N.A.; Rahman, M.N.A. Surface Discharge Analysis of High Voltage Glass Insulators Using Ultraviolet Pulse Voltage. Energies 2019, 12, 204.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top