• 제목/요약/키워드: Dissolved gases analysis

검색결과 27건 처리시간 0.023초

지능형 유중가스 분석기술 기반 유입식 변압기 전산관리 프로그램 개발 (Development of Management Software for Transformers Based on Artificial Intelligent Analysis Technology of Dissolved Gases in Oil)

  • 선종호;한상보;강동식;김광화
    • 대한전기학회논문지:전기물성ㆍ응용부문C
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    • 제54권12호
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    • pp.578-584
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    • 2005
  • This paper describes development of management software for transformers based on artificial intelligent analysis technology of dissolved gases in oil. Fault interpretation using the artificial intelligent analysis is performed by the artificial neural network and a rule based on the analysis of dissolved gases. The used gases are acetylene($C_{2}H_{2}$), hydrogen($H_2$), ethylene($C_{2}H_{4}$), methane($CH_4$), ethane($C_{2}H_{6}$), carbon monoxide(CO) and carbon dioxide($CO_2$). This software is mainly composed of gases input, fault's causes, expected fault's phenomena in detail, the decision on maintenance as well as report and gas trend windows. It is indicated that this is very powerful software for the efficient management of oil-immersed transformers using data analysis of gas components.

변압기 절연재료 분석과 내부점검 결과와의 상관성 연구 (Review on the Relationship of Dissolved Gas Analysis and Internal Inspection of Transformer)

  • 박현주;남창현;정년호
    • 전기학회논문지
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    • 제59권10호
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    • pp.1869-1873
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    • 2010
  • For reliable operation of oil-filled electrical equipment, monitoring and maintenance of insulating oil is essential. Dissolved gas analysis(DGA) is widely used for monitoring faults in high voltage electrical equipment in service. Therefore, oil analysis should be monitored regularly during its service life. KEPCO has investigated thousands of dissolved gas analysis data since 1985, and conducted studies on the relationship of gas in oil analysis and internal inspection results of transformer. As the results, KEPCO revised criteria for transformer diagnosis and has applied it since 2008. Almost of 100 cases of internal inspection results since 2001 have been investigated. This paper presents the correlation of the fault-identifying gases with faults found in actual transformers and how should we approach to internal inspection of transformer by dissolved gas analysis.

주상변압기 절연유의 경년열화반응 속도론에 관한 연구 (A Study on the Age Degradation Kinetics of Pole Transformer Oil)

  • 남영우
    • 한국조명전기설비학회지:조명전기설비
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    • 제11권1호
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    • pp.99-105
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    • 1997
  • 본 논문에서는 주상변압기 절연유의 가속열화반응을 수행하였다. 유중가스를 air bubbling 법으로 추출하여 가스크로마토크라프로 성분을 분석하였으며 가스농도는 각 가스의 추출율을 감안하여 보정하였다. 절연재료의 열화는 열분해반응과산화반응에의하여 진행되었으며 두 종류의 반응은 모두 0차반응의 특성을 보였고 탄화수소류, CO+{{{{ { CO}_{2 } }}}} 및 수소가스의 생성속도식을 얻었다. 유중가스 분석과 UV-Visible 분광광도법에 의하여 변압기내의 철심과 동코일이 열화과정에서 촉매역활을 함을 확인하였다.

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전기집진기술의 현황과 장래전망(I)

  • 고명삼;이달우
    • 한국조명전기설비학회지:조명전기설비
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    • 제11권1호
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    • pp.24-33
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    • 1997
  • 본 논문에서는 주상변압기 절연유의 가속열화반응을 수행하였다. 유중가스를 air bubbling법으로 추출하여 가스크로마토그라프로 성분을 분석하였으며 가스농도는 각 가스의 추출율을 감안하여 보정하였다. 절연재료의 열화는 열분해반응과 산화반응에 의하여 진행되었으며 두종류의 반응은 모두 0차반응의 특성을 보였고 탄화수소류, $CO+CO_2$ 및 수소가스의 생성속도식을 얻었다. 유중가스 분석과 UV-Visible 분광광도법에 의하여 변압기내의 철심과 동코일이 열화과정에서 촉매역활을 함에 확인하였다.

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지능형 유중가스분석법을 이용한 전력용 변압기 관리시스템 개발 (Development of Power Transformer Maintenance System Using Intelligent Dissolved Gas in Oil Analysis)

  • 선종호;김광화
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2004년도 학술대회 논문집
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    • pp.87-90
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    • 2004
  • This paper describes development of power transformer maintenance system using intelligent dissolved gases in oil analysis. The used gases are acetylene(C2H2), hydrogen(H2), ethylene(C2H4), methane(CH4), ethane(C2H6), carbon monoxide(CO) and carbon dioxide(CO2). The rule and neural network based gas analysis methods are used for artificial intelligent diagnosis. It is indicated that this program is efficient for diagnosis of oil immersed transformers diagnosis from application of gas analysis data of serviced transformer which has local overheating

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유침 절연에서 전기적 및 열적 열화에 따른 유중가스분포특성 (Characterisrics of Dissolved Gas Distribution in Oil with Thermal and Electrical Degradation in Oil Imersed Paper Insulation)

  • 선종호;이상화;김광화
    • 조명전기설비학회논문지
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    • 제18권6호
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    • pp.136-144
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    • 2004
  • 본 논문에서는 유침절연에 대한 열열화와 전기적열화 실험을 실시하여 유중가스분석법을 이용한 유침절연의 고장원인 진단에 대한 신뢰성을 향상시키는 방안에 대하여 연구하였다. 유침절연의 고장원인에 대하여 주도가스법과 탄화수소가스의 구성률, CO/$CO_2$비와 같은 진단요소를 단독으로 사용하는 것보다는 진단요소들의 상호관계를 이용하는 것이 유침절연의 고장원인을 신뢰성 있게 진단하는 것으로 나타났다.

변압기 유중 가스 진단 오차 원인에 대한 연구 (A study on Cause of Errors of Dissolved Gases Analysis in Transformer)

  • 조성민;이양진;김용성;김재철;권동진
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 추계학술대회 논문집 전력기술부문
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    • pp.141-143
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    • 2006
  • Dissolved gas analysis (DGA) is widely used to detect incipient faults in oil-filled electrical equipment. KEPCO make a rule of DGA in 1985. They have been diagnosing power transformer using their DGA criteria. In this paper, we analysis the result of DGA data about transformer in the substation. We try to find out what is cause of an error in DGA diagnosis considering accuracy in extracting gases from mineral oil in transformer. The carbon-monoxide was primary reason of warning in DGA data. We specially consider that aging is a cause of generating of carbon-monoxide in power transformer.

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친환경 식물성 절연유의 유중가스 분석 (Dissolved Gas Analysis of Environment-Friendly Vegetable Insulating Oils)

  • 최순호;김관식;허창수
    • 한국전기전자재료학회논문지
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    • 제28권4호
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    • pp.238-243
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    • 2015
  • The vegetable insulating oils are substitute for the mineral oil in power transformer. Vegetable insulating oils has higher flash/fire point and biodegradability than conventional mineral oils. In this paper, we investigated the dissolved gas analysis of vegetable oils. In the experiment, I had to accelerated aging under the same conditions mineral oil and vegetable oils. Accelerated aging proceeded to about 100% of the life of oil-filled transformer. In addition, we performed gas analysis of insulating oil of accelerated aging progress. The experiment results of the five gases was measured with the exception of Hydrogen and Acetylene. The mineral oil and vegetable oils gas is generated in a similar tendency depending on the accelerated aging. As a result, vegetable oils, can be dissolved gas analysis by method such as mineral oil.

퍼지 패턴 분류와 뉴럴 네트워크를 이용한 지능형 유중가스 판정 시스템 (Intelligent Diagnosis System for DGA Using Fuzzy Pattern Classification and Neural Network)

  • 조성민;권동진;남창현;김재철
    • 전기학회논문지
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    • 제56권12호
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    • pp.2084-2090
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    • 2007
  • The DGA (Dissolved Gases Analysis) technique has been widely using for fault diagnosis of the power transformers. Some electric power utility company establishes the criteria of DGA to improve reliability, because of difference of operation environment and design of power transformer. In this paper, we introduce intelligent diagnosis system for DGA result of KEPCO (Korea Electric Power Cooperation). This system can classify patterns type of gases ratio that frequently occurs in recent result of gases analysis using Fuzzy Inference. The classification of Patterns let us know that major causes of gases generation based on type of patterns. Finally, Neural Network based on patterns diagnose transformer. NN was trained using result data of DGA of actually faulted transformers recently. Result of intelligent diagnosis system is right well in comparison with actual inner inspection of transformers.

변압기 열열화 모의 고장어 대한 유중가스 분포연구 (A study on gas dissolved distribution in oil for simulated transformer thermal faults)

  • 선종호;이상화;김광화
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 하계학술대회 논문집 C
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    • pp.1800-1802
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    • 2003
  • This paper describes a study on gas dissolved distribution in oil for simulated transformer thermal faults. Experimental chamber was setup for simulation of transformer thermal faults or discharge in oil with or without insulation paper. The experimental results showed that dissolved gases in oil excluding the paper did not evolved upto $150^{\circ}C$. Hereafter the planned gas dissolved analysis will be continuously carried out for transformer fault conditions with or without insulation paper related to water absorption, arc and partial discharge.

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