변압기 온라인 진단을 위한 절연유 광투과율 연구 = Study on Transformer Online Discrimination Using Light Transmittance of Insulating Oil

다국어 초록 (Multilingual Abstract)

The purpose of this study is the fault discrimination of the transformer that supplies power in demand. In this study, the correlation between the light transmittance of the insulating oil and dielectric breakdown was used to the fault discrimination of the transformer.
In this study, the light sources of various wavelengths were compared, and it was shown in the paper that the selected 520 nm light sources can clearly diagnose the deterioration state. In addition, in order to evaluate the total dielectric breakdown of the insulating oil, research was conducted through various samples through the collection of insulating oil samples and acceleration deterioration tests of the used transformer. It is believed that the diagnostic method for the state of the transformer using the light transmittance of the insulating oil proposed through this study can help secure the reliability and economy of the power facility.

참고문헌 (Reference)

1 Al Hafez, "Treatment of aged transformer oil using dry sludge in lab-scale refining unit" 2 (2): 010-022, 2015

2 Michel Duval, "The Duval Triangle for Load Tap Changers, Non-Mineral Oils and Low Temperature Faults in Transformer" 24 (24): 22-29, 2008

3 Haksun Im, "Study on Optimizing Transformer Replacement Cycle" 2019

4 Hyun-joo Park, "Proposals for an Optimum Analysis Method for Furanic Compound in Insulating Oil for Paper Degradation Assessment" 2009

5 Michel Duval, "Interpretation of Gas-In-Oil Analysis Using New IEC Publication 60599and IEC TC 10 Database" 17 (17): 31-41, 2001

6 Irungu, G. K., "Fault diagnostics in oil filled electrical equipment: Review of duval triangle and possibility of alternatives" 2016

7 김춘동 ; 김철규 ; 박세현, "Development of Portable Dissolved Gas Analyzer Using photoacoustic spectroscopy" 17 (17): 2431-2438, 2013

8 Seungpil Moon, "Basic study on the method of utilizing the transmittance of insulation oil for diagnosing a transformer" 350-351, 2020

9 Hyeong-Gu Kang, "A transformer lifetime prediction and failure diagnosis algorithm using probability theories" 2022

10 ISLAM Md Mominul, "A review of condition monitoring techniques and diagnostic tests for lifetime estimation of power transformers" 100 : 581-605, 2018

11 Sangmin Ryu, "A Basic Study on the Status Diagnosis of Transformer Using Physical Properties of Insulating oil" 1720-1721, 2020