KEPCO Journal on Electric Power and Energy

Korea Electric Power Corporation (한국전력공사)
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A Study on the Condition Diagnosis for A Gas-insulated Transformer using Decomposition Gas Analysis

가스분해 분석기법을 활용한 가스 전열 변압기의 상태 진단 연구

  • Ah-Reum, Kim (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Byeong Sub, Kwak (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Tae-Hyun, Jun (KEPCO Research Institute, Korea Electric Power Corporation) ;
  • Hyun-joo, Park (KEPCO Research Institute, Korea Electric Power Corporation)
  • Received : 2022.05.06
  • Accepted : 2022.09.16
  • Published : 2022.12.31
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Abstract

A growing number of gas-insulated transformers in underground power substations in urban areas are approaching 20 years of operation, the time when failures begin to occur. It is thus essential to prevent failure through accurate condition diagnosis of the given facility. Various solid insulation materials exist inside of the transformers, and the generated decomposition gas may differ for each gas-insulated equipment. In this study, a simulation system was designed to analyze the deterioration characteristics of SF6 decomposition gas and insulation materials under the conditions of partial discharge and thermal fault for diagnosis of gas-insulated transformers. Degradation characteristics of the insulation materials was determined using an automatic viscometer and FT-IR. The analysis results showed that the pattern of decomposition gas generation under partial discharge and thermal fault was different. In particular, acetaldehyde was detected under a thermal fault in all types of insulation, but not under partial discharge or an arc condition. In addition, in the case of insulation materials, deterioration of the insulation itself rapidly progressed as the experimental temperature increased. It was confirmed that it was possible to diagnose the internal discharge or thermal fault occurrence of the transformer through the ratio and type of decomposition gas generated in the gas-insulated transformer.

Keywords

Acknowledgement

This work was supported by R17TA16 of the Korea Electric Power Corporation Research Institute(KEPRI), granted financial resource from KEPCO.

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