• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1828-1829
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• 2011

본 논문에서는 KEPCO가 사업화중인 AMI(Advanced Metering Infrastructure)시스템을 이용하여 변압기 2차 측에서의 전력공급량 측정과 수용가로부터의 전력사용량 수집하고, 상기 전력사용량의 차이를 비교 분석하여 통상적인 전력 손실 및 도전감시를 수행할 수 있는 방법을 소개하고자 한다. 전력 감시모듈은 전원 공급부, 전류 및 전압 감지부, 수집한 전류 및 전압을 이용하여 각종 정보를 생성하는 엔진부 및 데이터 통신부로 구성된다. 전력손실 및 도전감시 방법은 전자식 전력량계가 생성하는 LP(Load Profile)의 15분 기록주기를 기준으로 전력공급량과 전력 사용량을 비교 분석하여 통상적인 전력 손실률을 산출한다.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2004.11a
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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

• The Transactions of the Korean Institute of Power Electronics
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• v.22 no.2
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• pp.118-125
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• 2017

In this paper, we propose a smart transformer for a smart transformer miniature model, which can replace a 60 [Hz] single-phase transformer installed in an electric vehicle. The proposed smart transformer is lighter than a conventional transformer, can control instantaneous voltage, and can be expected to improve power quality through harmonic compensation. The proposed intelligent transformer consists of an incoming part, an AC/DC converter, and a dual active bridge. Only the incoming part and the AC/DC converter are described in this paper. The proposed intelligent transformer has 75 kVA 3.3 kV input and 750 V DC output, which are verified by simulation and experiment.

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.278-279
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• 2020

최근 전기차 배터리는 일 주행거리 증대를 위해서 50~100 kWh 급으로 대용량화 되고 있다. 그와 동시에 충전시간 단축을 위해서 배터리 전압은 400V에서 800V로 높아지고 급속충전기 용량은 50kW에서 350kW 급으로 대용량화 되고 있다. 본 논문에서는 전기차 증가 추세에 따라 기존 주유소를 대체하는 MW급 전기차 급속충전소를 위한 에너지 저장 장치(Energy Storage System, ESS) 연계 지능형 반도체 변압기(Solid State Transformer, SST) 기술 기반의 전력변환 시스템 모델을 제안하고자 한다. 이 모델은 배전계통에 직접 연계가 가능하기 때문에 대용량 전기차 급속충전소뿐만 아니라 DC Grid 구축에 응용 가능하다.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1877-1878
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• 2008

고품질, 고 신뢰도를 지향하는 미래 지능형 전력시스템에 대한 기대와 함께 전력 기기 및 설비의 디지털화에 관심이 집중되면서, 전력시장에서는 전력정보의 양방향 교환 표준을 위한 공통정보모델(CIM : Common Information Model)의 개발 및 활용이 새로운 화두로 부상하였다. CIM은 차세대 전력시스템과 미래형 부가서비스 등의 전반적인 운영측면에서 혁신을 이루는데 사용할 수 있도록 표준화된 데이터교환 모델이다. 이는 전력시스템 내 모든 다양한 객체(변전소, 송전선, 변압기, 차단기, 설비자산, 작업지시, 작업원 등)들이 어떻게 상호 연결되는지를 표현하는 방식이다. 최근 CIM/GID(GID : Generic Interface Definition)에 대한 관심이 고조되면서 CIM/GID를 어떻게 도입하고 활용할 것인가에 대한 논의가 활발하다. 그 활용 방안의 일환으로 개발된 시스템에 대한 상호 운용성 테스트를 수행함으로써 제품 또는 시스템의 표준화 준수 여부와 활용성에 대한 검증이 가능하다. CIM/GID 상호운용성 테스트는 UCA International Users Group에서 가입 회원들을 대상으로 지속적으로 진행되고 있다. 본 논문에서는 미국 클리블랜드에서 2003년 11월 18일$\sim$20일 사이에 진행되었던 5차 CIM/GID 상호운용성 테스트 결과를 토대로 CIM/GID와 CIM XML의 상호 운용성 테스트 방안을 소개하고자 한다.

• The Transactions of the Korean Institute of Power Electronics
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• v.18 no.2
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• pp.169-177
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• 2013

This paper proposes a new configuration of bidirectional intelligent semiconductor transformer with rating of 1.9kV/127V, 2kVA. The proposed transformer consists of high-voltage high-frequency AC-DC rectifier, and low-voltage DC-DC and DC-AC converters. The operational feasibility of proposed transformer was verified by computer simulation with PSCAD/EMTDC software. Based on the simulation results, a hardware prototype with rating of 1.9kV/127V, 2kVA was built and tested in the lab to confirm the feasibility of hardware implementation. Using three units of this transformer, a 3-phase transformer with rating of 3.3kV/220V, 6kVA can be built.

• 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.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.891-893
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• 1997

In this paper an intelligent power transformer protective relaying algorithm based on Fuzzy Decision-Making is presented. The introduced protection algorithm contains several internal fuzzy rule-bases including bpa(Basic Probability Assignment: m) which are subject to off-line pre-installation by the analysis of the transformer transient characteristics for detecting the internal fault. Dempster-Shafer's rule of combination is used for the inference method with rules to decide the situation of a transformer, The proposed algorithm immunes to the saturation of transformer, inrush conditions, over excitation, and external fault. The included results of testing show practically sufficient sensitivity and selectivity of the proposed algorithm.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.554-556
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• 2005

Distribution Automation System (DAS) will provide supervision and remote control of switches and reclosers such as pole pounted switches and pad-mounted switchgears on high voltage distribution line. Kepco had developed basic function such as remote monitoring, remote control, remote measuring and remote setting at first. As a next step, Kepco has been developed diverse application programs such as single line diagram drawing program, relay coordination program, feeder reconfiguration program, over load elimination program, bad data detection program, section load management program, fault processing program and so on. Kepco is examining to develop more powerful functions for special specification of foreign distribution automation system. This paper explains what is the target for overseas DAS market.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.65 no.3
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• pp.188-193
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• 2016

It has been proven that the dissolved gas analysis (DGA) is the most effective and convenient method to diagnose the transformers. The DGA is a simple, inexpensive, and non intrusive technique. Among the various diagnosis methods, IEC 60599 has been widely used in transformer in service. But this method cannot offer accurate diagnosis for all the faults. This paper proposes a fault diagnosis method of oil-filled power transformers using DGA and Intelligent Probability Model. To demonstrate the validity of the proposed method, experiment is performed and its results are illustrated.