• 한국안전학회지
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• 제25권6호
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• pp.86-91
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• 2010

The purpose of this study is to analyze the damage patterns and metal structure of 3 phase mold transformers collected from places where accidents have occurred. Compared to an oil-immersed transformer, a mold transformer has the advantage of requiring a smaller installation area and can be kept clean, while its disadvantages include the fact that abnormal symptoms of an accident are difficult to discover and its repair is impossible. The capacity of the mold transformers collected from places where accidents have occurred was 200kVA with primary voltages being F23,900V, R22,900V, 21,900V, 20,900V, 19,900V, etc., as well as secondary voltages being 380V, 220V, etc. It was found from the analysis on the diffusion of combustion in the damaged mold transformers that fire occurred first inside the U-phase primary winding and that carbonization and heat were diffused to V-phase and W-phase in V-pattern. In addition, from the analysis on the cross-sectional structure of the metal of the melted high voltage winding using a metallurgical microscope, it was found that the boundary surface, voids, and columnar structure were formed when an interlayer short-circuit had occurred Therefore, even though it is not possible to find the cause for the occurrence of an interlayer short-circuit at the inner side of the primary winding, it is thought that, due to the thermal energy generated when the short-circuit occurred, the heat source was diffused to the upper side and outside, causing a secondary accident.

• Transactions on Electrical and Electronic Materials
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• 제7권6호
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• pp.313-318
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• 2006

This paper introduces a partial discharge (PD) severity metric, S, based on the evaluation of time-sequence PD data capture and resulting Time-Sequence-Analysis Discharge (TSAD) level distributions. Basically based on an IEC60270 measurement technique, each PD event is time stamped and the discharge level noted. By evaluating the time differences between a previous and subsequent discharge, a 3D plot of time-sequence activity and discharge levels can be produced. From these parameters a measurement of severity, which takes into account dynamic or instantaneous variations in both the time of occurrence and the level of discharge, rather than using standard repetition rate techniques, can be formulated. The idea is to provide a measure of the severity of PD activity for potentially measuring the state of insulation within an item of plant. This severity measure is evaluated for a simple point-plane geometry in $SF_{6}$ as a function of gap distance and applied high voltage. The results show that as the partial discharge activity increases, the severity measure also increases. The importance of future investigations, quantifications and evaluations of the robustness, sensitivity and importance of such a severity measurement, as well as comparing it with typical repetition rate assessment techniques, and other monitoring techniques, are also very briefly discussed.

• 융합신호처리학회논문지
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• 제12권4호
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• pp.333-340
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• 2011

한국천문연구원은 한일상관센터 (Korea-Japan Correlation Center, KJCC)에 2009년부터 한일공동VLBI상관기(Korea-Japan Joint VLBI Correlator, KJJVC)를 설치하여 운영하고 있다. 한일공동VLBI상관기는 한국우주전파관측망(Korean VLBI Network, KVN), VERA(VLBI Exploration of Radio Astrometry), JVN(Japanese VLBI Network) 및 공동 관측망 등에서 관측한 VLBI(Very Long Baseline Interferometer) 데이터를 상관처리하고, 과학적 목적을 위해 관측데이터를 처리하는 전용 계산기로 사용된다. KJJVC는 각 구성시스템 사이의 데이터 입출력 규격으로 VLBI 국제표준인 VSI(VLBI Standard Interface)를 따르고 있다. 특히 관측된 데이터를 상관처리하기 위해 고속재생기인 Mark5B시스템과 동기재생처리장치(Raw VLBI Data Buffer, RVDB) 사이에는 1024 Mbps급으로 데이터가 전송된다. 고속 데이터 전송에 있어 발생하는 전자기 방해 (Electromagnetic Interference, EMI)는 관측데이터의 손실을 야기 시키며, 전송 케이블의 길이가 길수록 손실 발생빈도가 많고, 디지털 데이터 신호의 전압레벨을 감소시켜 데이터 인식 오류를 초래한다. 따라서 본 논문에서는 VSI 규격의 통신에서 발생하는 EMI 잡음 정도를 측정하고, 데이터 손실을 최소화할 수 있는 방법으로 1) RC 필터를 사용한 방법, 2) Microstrip 라인을 이용한 임피던스 매칭, 3) Differential line driver를 이용한 신호 복원 방법 등을 제안하였다. 각 제안방법들의 유효성을 확인하기 위해 제안방법들은 시뮬레이션과 실험적인 구현을 통하여 성능시험을 수행하였으며, 각각의 제안 방법이 VSI 규격의 고속 데이터 전송에 유효함을 확인하였다.

• 전기학회논문지
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• 제67권1호
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• pp.8-15
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• 2018

New methodology for probabilistic reliability based grid expansion planning of HVDC in power system including Wind Turbine Generators(WTG) is developed in this paper. This problem is focused on scenario based optimal selection technique to decide best connection bus of new transmission lines of HVDC in view point of adequacy reliability in power system including WTG. This requires two kinds of modeling and simulation for reliability evaluation. One is how is reliability evaluation model and simulation of WTG. Another is to develop a failure model of HVDC. First, reliability evaluation of power system including WTG needs multi-state simulation methodology because of intermittent characteristics of wind speed and nonlinear generation curve of WTG. Reliability methodology of power system including WTG has already been developed with considering multi-state simulation over the years in the world. The multi-state model already developed by authors is used for WTG reliability simulation in this study. Second, the power system including HVDC includes AC/DC converter and DC/AC inverter substation. The substation is composed of a lot of thyristor devices, in which devices have possibility of failure occurrence in potential. Failure model of AC/DC converter and DC/AC inverter substation in order to simulate HVDC reliability is newly proposed in this paper. Furthermore, this problem should be formulated in hierarchical level II(HLII) reliability evaluation because of best bus choice problem for connecting new HVDC and transmission lines consideration. HLII reliability simulation technique is not simple but difficult and complex. CmRel program, which is adequacy reliability evaluation program developed by authors, is extended and developed for this study. Using proposed method, new HVDC connected bus point is able to be decided at best reliability level successfully. Methodology proposed in this paper is applied to small sized model power system.

• Journal of Platform Technology
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• 제8권3호
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• pp.10-21
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• 2020

부분 방전 현상은 배전반, 트랜스포머, 스위치 기어 등 고압전력기기에서 많이 발생한다. 부분 방전은 절연체의 수명을 단축하고 절연파괴를 가져오게 되고 이로 인해 정전사고 등 대형피해가 발생하게 된다. 부분 방전 현상은 제품 내부에서 발생하는 경우와 표면에서 발생하는 여러 가지 유형을 가지고 있다. 본 논문에서는 부분 방전 현상에 대한 패턴 및 발생할 확률을 예측할 수 있는 예측 모델을 설계하는 것이다. 설계된 모델을 분석하기 위하여 부분 방전 현상을 발생시키는 시뮬레이터를 활용하여 각각의 부분 방전 유형에 대한 학습 데이터를 UHF 센서를 통하여 수집하였다. 본 논문에서 설계된 예측 모델은 딥 러닝 중 CNN을 기반으로 설계를 하였으며 학습을 통하여 모델을 검증하였다. 설계된 모델에 대한 학습을 위하여 5,000개의 훈련데이터를 만들었으며 훈련데이터의 형태는 UHF센서에서 입력되는 3차원의 원시데이터를 2차원 데이터로 전 처리하여 모델에 대한 입력데이터로 사용하였다. 실험결과, 학습을 통하여 설계된 모델에 대한 정확도는 0.9972의 정확도를 갖는 것을 알 수 있었으며 데이터를 2차원 이미지로 만들어 학습한 경우 보다 그레이 스케일 이미지 형태로 만들어 학습한 경우가 제안된 모델에 대해 정확도가 높음을 알 수 있었다.