Degradation monitoring of high voltage polymeric insulator using extracted leakage current signal parameter

Saari, Mohamed Muhaimin (2020) Degradation monitoring of high voltage polymeric insulator using extracted leakage current signal parameter. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The transmission network involves high voltage equipment containing transformers and insulators. The insulation of the material must be maintained to achieve regular electricity distribution operations. Insulators of a polymer form have slowly replaced ceramic insulators. The advantages of a polymer form include the simple to mount and provide unique characteristic. After field aged high voltage polymer insulator being exposed to the natural environment such as sunlight, solar radiation, and acidic agents due to the rain they tended to continues the spread of degradation on the insulator surface. Researchers around the world have looked into different types of evaluation and analysis methods. This evaluation and analysis involve physical evaluate, analyse and compare the conditions of polymer insulator degradation using a sample of measured information and spectrogram. Therefore, the research goal is to conduct a comparative study of the conditions of polymeric insulator degradation between 6 and 18 year field-aged insulators. The comparison involves the physical evaluation performance of polymer insulator which is surface roughness, and to statically gather the leakage current (LC) data of the two-dimensional mean of Spectrogram of 6 and 18 year old insulators. This project's test and analysis consist of two parts which are for hardware part the measurement of surface roughness using surface roughness analyser and the LC signal parameter test using the inclined plane test (IPT). A software part, the LabVIEW and the MATLAB program are used for LC capturing process and analysis. Since the hardware testing is not available, the projects focusing on the data analysis that carried out by MATLAB software to analyse signal data in spectrogram. As overall result, the LC signal parameter which is two-dimensional mean of Spectrogram able to significantly differentiate the surface condition of 6 year and 18 year insulators compared with the surface roughness data and there is existence of energy present in time-frequency representation of Spectrogram consider as the quantity energy that contained in particular signal.

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