• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.11
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• pp.559-567
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• 2002

This paper presents the general recommendations for the overload criterions of mineral-oil-immersed distribution transformers rated 100kVA and less. For this purpose, we analyze the characteristics of top-oil temperature rising for mineral-oil-immersed power distribution transformer rated 100kVA and less, manufactured in Korea, In order to analyze the characteristics of top-oil temperature rising due to the distribution transformer loading, we performed experiments at KERI (Korea Electrical Research Institute) from December 2000 to May 2001. The restraint of ambient temperatures for the experiment results is solved using the results of foreign standards. Finally, we present the overload criterions of distribution transformer for summer and winter season, respectively.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2013-2014
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• 2008

6.6KV 고전압 위험으로 접지계기용변압기(GPT)와 영상변류기(ZCT)의 2차측에 전압 전류 시험 유입방식으로는 해당 지락보호계전기의 정.부동작이 정확한지 검증이 되지 않아 안전사고 발생의 우려성이 존재하고 있었으며, 이의 해결을 위하여 6.6KV 고압측에 인공지락시험을 통하여 국내외 일부 계전기의 동작 전압 전류 극성이 사양과 상이한 것을 발견하여 실계통에 합당하도록 시정함과 동시에 감전시 인체 저항을 감안한 지락보호계전기(OVGR, SGR) 정정값을 도출하여 인명을 보호하게 하기 위한 지락보호계전 시스템에 대한 연구이다.

• Proceedings of the KAIS Fall Conference
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• 2006.05a
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• pp.276-280
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• 2006

최근, 국가적인 차원에서 추진되고 있는 대체에너지 전원은 배전계통에 연계되어 운용되는 특성을 가지고 있다. 이들 전원은 대부분 반도체를 이용한 전력변환기기를 사용하기 때문에 60Hz의 상용주파수의 정수배에 해당되는 주파수 성분의 전류를 발생시켜 전력계통에 역으로 유출하게 된다. 계통에 유입된 고조파는 배전선로와 변압기 등의 계통 각 구성요소의 임피던스에 의하여 고조파전압을 발생시켜, 다른 기기에 왜곡된 파형의 전압을 공급하게 되어, 기기의 정상적인 동작을 방해하거나 경우에 따라서는 기기를 손상시키는 원인이 되기도 한다. 따라서 본 연구에서는 이들 고조파 발생기기가 계통에 악영향을 미치지 않는 적정한 레벨의 고조파 수준을 산정하는 알고리즘을 제시하고, 이 값을 근거로 고조파를 억제하는 대책방안을 제시하고자 한다.

• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.6-8
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• 2001

This paper covers general recommendations for top-oil temperature rising of mineral-oil-immersed power distribution transformer rated 100kVA and less, manufactured in Korea. In order to analyze the top-oil temperature rising due to the distribution transformer loading we performed experiments for oil-immersed distribution transformer, manufactured in domestic at KERI(Korea Electrical Research Institute) from December 2000 to May 2001. The magnitude of loading were changed, and the top-oil temperatures for each time were measured. Finally, we present the overload criteria of distribution transformer for summer and winter season in domestic. respectively.

• Journal of Sensor Science and Technology
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• v.5 no.4
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• pp.41-46
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• 1996

The Pd/Pt gate MISFET type hydrogen sensors, for detecting dissolved hydrogen gas in the transformer oil, were fabricated and their characteristics were investigated. These sensors including diffused resister heater and temperature monitoring diode were fabricated on the same chip by a conventional silicon process technique. The differential pair plays a role in minimizing the intrinsic voltage drift of the MISFET. To avoid the drift of the sensors induced by the hydrogen, the gate insulators of both FETs were constructed with double layers of silicon dioxide and silicon nitride. In order to eliminate the blister formation on the surface of the hydrogen sensing gate metal, Pt and Pd double metal layers were deposited on the gate insulator. The hydrogen response of the Pd/Pt gate MISFET suggests that the proposed sensor can detect the dissolved hydrogen in transformer oil with 40mV/10ppm of sensitivity and 0.14mV/day of stability.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1200-1201
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• 2015

고전압 전력설비 진단은 기기의 열화 상태를 측정하여 이상 사고를 미리 예측하여 방지하는 것을 목적으로 실시한다. 고전압 전력설비의 유지관리 방안은 일정 시간 경과후 보수하는 개념(TBM: Time Based Maintenance) 이후 설비의 상태를 진단하여 유지보수 방안을 결정하는 개념(CBM: Condition Based Maintenance)으로 진보해 감에 따라 전력설비의 상태진단 기술의 중요성은 증대될 전망이다. 고전압 전력설비의 절연진단은 직류시험(절연저항, PI)과 교류시험($tan{\delta}$, PD)이 실시되며 과거 진단 데이터의 추세분석을 통한 정확한 상태진단이 요구되고 있다. 고압 유도 전동기 절연진단 데이터 관리 전산화 모델은 고전압 전력기기(발전기, 변압기, 전동기, 케이블 등)의 절연진단 및 유지보수 이력에 관한 자료들을 저장, 조회 및 검색을 하기 위한 데이터베이스를 구축하고 구축된 데이터를 활용하여 과거 이력조회, 추이분석, 진단 데이터의 분석기법을 통한 전력기기의 상태평가로 합리적인 개 대체 의사결정을 지원한다. 또한, 유입식 변압기의 절연유 가스분석 알고리즘을 전산화 하여 10종 가연성 가스에 따른 Gas Pattern 평가로 고장 원인, 현상 및 조치 등에 대한 출력이 가능한 프로그램의 개발로 고전압 전력설비 진단기술과 IT기술의 융 복합 기술로서 고전압 전력설비의 유지관리 기술을 한 차원 더 진보시킬 것으로 판단된다.

• Journal of Sensor Science and Technology
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• v.6 no.3
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• pp.221-227
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• 1997

The Pd/NiCr gate MISFET-type sensors were fabricated for detecting hydrogen dissolved in high-capacivity transformer oil. To improve stability and high concentration sensitivity of the sensor, Pd/NiCr double catalysis metal gate was used. To reduce the serious gate voltage drift of the sensor induced by hydrogen, the gate insulators of 2 FETs were constructed with double layer of silicon dioxide and silicon nitride. The hydrogen sensitivity of the Pd/NiCr gate MISFET is about a half of Pd/Pt gate MISFET's sensitivity but the Pd/NiCr gate MISFET has good stability and high concentration detectivity up to 1000 ppm.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.4
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• pp.693-699
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• 2010

General transformer's life is known as paper insulation' life. If a transformer is degraded by these aging factors, it is known that electrical, mechanical and chemical characteristics for transformer's oil-paper are changed. When the kraft paper is aged, the cellulose polymer chains break down into shorter lengths. It causes decrease in both tensile strength and degree of polymerization of paper insulation. The paper breakdown is accompanied by an increase in the content of furanic compounds within the dielectric liquid. In this paper it is aimed at analysis on correlation between aging characteristics for insulating diagnosis of thermally aged paper. For investigating the accelerated aging process of oil-paper samples accelerating aging cell was manufactured for estimating variation of paper insulation during 500 hours at $140^{\circ}C$ temperature. To derive the results, it was performed analysis such as tensile strength(TS), depolymerization(DP), dielectric strength(DS), relative permittivity, water content(WC) and furan compound(FC) for aged paper. Also for analyzing correlation between insulating degradation characteristics, we used linear regression method. As as results of linear regression analysis, there was a close correlation between TS and DP. WC, FC. But dielectric strength was a weak correlation with aging time.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.53 no.10
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• pp.523-529
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• 2004

Faults of cellulosic insulations greatly affect the life span of oil immersed transformers because their performance recovery is impossible. Therefore, the reliable diagnosis technologies are needed for detection of the faults. Dissolved gas analysis technologies using CO and $CO_2$ gases have been widely used for fault diagnosis of cellulosic insulations. In this research, we described Degradation diagnosis of insulation paper CO and $CO_2$ gases in oil immersed Transformers using. We considered the distribution characteristics of CO, $CO_2$ gases' concentrations and ratios of $CO_2$/CO not only in serviced transformers but in experiments with typical fault causes such as heat, partial discharge and moisture. As result, the reliability of diagnosis results for the cellulosic insulations can be improved when the concentrations of CO, $CO_2$ and the ratio of CO/$CO_2$ satisfy each diagnosis criterion at a tim

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.54 no.12
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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.