Transformer faults classification from polarization current measurement results using statistical technique

Mohammad Syahir , Mansor (2014) Transformer faults classification from polarization current measurement results using statistical technique. Project Report. UTeM. (Submitted)

Text TRANSFORMERS FAULTS CLASSIFICATION FROM POLARIZATION 24pages.pdf Download (770kB)

Abstract

In general, the presence of moisture and others impurities inside the insulator or oil can cause the breakdown of the power transformer. Polarization and Depolarization Current (PDC) is one of the technique to assess the condition of insulation oil in power transformer and can be applied in many electrical apparatus such as power cables and on load tap changer as well as to estimate conductive and moisture contents of the insulations. Basically, it is a technique that is based on time domain measurement and has been use since 1990’s. This analysis work seeks to classify the pattern of faults by find the ranges in PDC data obtain from Tenaga Nasional Berhad Research (TNBR) by using Statistical Technique and Graphical Method. Actually, there will be some challenge to classify the faults into a proper range. These faults consists of partial discharge, arcing and overheating that will be focus on this analysis work. In analysis work result obtained, the range of partial discharge fault is (5.0 ̶ 8.0) × 10−8 Ampere. Whereas, the range of arcing fault is (8.0 ̶ 11.0)× 10−8 Ampere. Lastly, the overheating fault range is greater than 11.0× 10−8 Ampere. At the end of the analysis work, the results obtained in analysis work will verify from the previous research by referring the ranking of the transformer faults. Furthermore, the results obtained in analysis work can be apply as a references to Tenaga Nasional Berhad Distribution (TNBD) when doing a maintenance process at the real power transformer using PDC measurement to find the transformer faults.

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