• 제목/요약/키워드: Transformer failure

검색결과 116건 처리시간 0.025초

고장데이터를 이용한 대용량 전력설비 통계적 수명분석 (Statistical Lifetime Analysis for Large Electric Power Equipments using Failure Data)

  • 김정태
    • 전기학회논문지
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    • 제66권11호
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    • pp.1605-1611
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    • 2017
  • In this study, the characteristic lifetime of power facilities such as power transformers and GIS were investigated as the basis of power facility asset management. It is difficult to obtain the operation and failure data of the facilities in Korea. Therefore, the number of failures of the electric power facilities was calculated from the operation data and hazard rate shown in the overseas literatures, and the statistical analysis was performed using the Weibull distribution function. As a result of extracting and analyzing the data of the UK National Grid for power transformers, the characteristic lifetime (scale parameter) of 116.45 years was considered to be a very appropriate value for power transformer management and can be used as a comparative data of the analysis of the domestic transformers. As for the GIS, based on the Bays and Bay-Years data and the hazard rate according to the operation years of the 123kV GIS in Germany, it is found out that the characteristic lifetime of GIS is not so meaningful. It is necessary to decide a maintenance strategy and lifetime expectancy considering the characteristics of the design, materials and manufacturing process of GIS.

전력용 변압기 예방진단새스템의 진단기준치 실정 (Establishment of Diagnostic Criteria in the Preventive Diagnostic System for the Power Transformer)

  • 권동진;구교선;곽주식;우정욱;강연욱
    • 대한전기학회논문지:전력기술부문A
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    • 제54권9호
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    • pp.449-456
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    • 2005
  • The preventive diagnostic technique prevents transformers from power failure through giving alarm and observing transformers in service. And it helps to establish the plan for optimum maintenance of the transformer as well as to find location or cause of fault using accumulated data. Data detection and experience of the preventive diagnostic system need to establish the preventive diagnostic algorithm regarding interrelationship between detected data and deterioration of equipment. Therefore in-depth analysis about the preventive diagnosis system is required. KEPCO has adopted the preventive diagnostic system at nine 345kV substations since 1997. Techniques for component sensors of the preventive diagnosis system were settled but diagnosis algorithm, diagnostic criteria and practical use of accumulated data are not yet established. This paper, to build up the base of preventive diagnostic algorithm for the Power transformer. investigated the preventive diagnostic criteria for the power transformer.

FCM과 SOM을 이용한 전력용 변압기 고장진단 기법 (Fault Diagnosis Method of Power Transformer Using FCM and SOM)

  • 한운동;이대종;지평식
    • 한국콘텐츠학회논문지
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    • 제7권3호
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    • pp.25-33
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    • 2007
  • 전력계통의 갑작스런 고장은 막대한 경제적 손실을 초래함으로 이를 방지하기 위한 전력계통의 상태를 진단하는 모니터링은 무엇보다도 중요하다. 본 논문에서는 FCM과 SOM을 이용하여 다양한 전력설비 중에서 가장 중요한 역할을 담당하는 전력용 변압기의 고장진단 알고리즘을 개발한다. 즉, FCM은 효과적인 특징점을 선택과 학습시간을 줄이기 위해 수행하고, SOM에 의해 변압기의 고장진단이 이루어진다. 제안된 방법은 변압기의 고장진단 뿐만 아니라 열화진행추이 특성까지 분석한다. 제안된 방법은 다양한 사례 연구를 통해 우수성을 입증하였다.

과전압에 의한 변압기 철공진 분석 및 방지대책 (Analysis for the Ferroresonance on the Transformer by Overvoltage and Prevention Measures)

  • 윤동현;신동열;차한주
    • 전기학회논문지
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    • 제64권11호
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    • pp.1543-1550
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    • 2015
  • Ferroresonance is a non-linear vibrational phenomenon that is generated by the electrical interaction of the inductance component with the capacitor component of a certain capacitance as the device of the inductance component such as a transformer is saturated due to the degradation, the waveform distortion of current and voltage, and the oscillation of overcurrent and overvoltage in a system. Recently, ferroresonance was generated from the waveform distortion of current and voltage, or the overvoltage or undervoltage phenomenon caused by the nature of an electrical power system and design technology of the transformer in the three phase transformer system. Hence, in general, ferroresonance analyzed by converting to the LC equivalent circuit. However, in general, the aforementioned analytical method only applies to the resonance phenomenon that is generated by the interaction of the capacitance of bussbar and grounding, and switching as the capacitor component with PT and the transformer as the inductance component in a system. Subsequently, the condition where ferroresonance was generated since overvoltage was supplied as line voltage to the phase voltage and thus the iron core is saturated due to the interconnection between grounded and ungrounded systems could not be analyzed when single phase PT was connected in a ${\Delta}$/Y connection system. In this study, voltage swell in the configuration of grounded circuit of a step-up transformer with the ${\Delta}-{\Delta}$ connection linked to PT for control power and the ferroresonance generated by overvoltage when the line voltage of the ${\Delta}-{\Delta}$ connection was connected to the phase voltage of the grounded Y-Y connection were analyzed using PSCAD / EMTDC through the failure case of the transformer caused by ferroresonance in the system with the ${\Delta}-{\Delta}$/Y-Y connection, and subsequently, the preventive measure of ferroresonance was proposed.

진동시험에 의한 154kV 변압기 부싱의 동특성 분석 및 내진성능 평가 (Modal Identification and Seismic Performance Evaluation of 154kV Transformer Porcelain Bushing by Vibration Test)

  • 조양희;조성국
    • 한국지진공학회논문집
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    • 제10권5호
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    • pp.107-115
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    • 2006
  • 지진과 같은 재난이 발생하였을 때에도 전력설비는 그 본래의 기능을 상실하지 않고 구조적인 안정성을 유지해야 하는 핵심 산업시설물이다. 이 연구는 가장 대표적인 전력설비인 154kV 변압기에 부착된 애자형 부싱의 진동특성과 내진성능을 분석하였다. 연구의 목적에 따라 국내에서 운용하던 실제 154kV 변압기 부싱을 대상으로 30tonf 용량의 진동대를 이용하여 진동시험이 실시되었다. 진동시험은 동특성분석시험과 내진성능시험 그리고 파괴한도시험으로 구분하고, 각각의 시험에는 정현소인파, 인공지진파 그리고 연속공진정현파를 진동대운동으로 입력하였다. 이 논문에는 시험에 사용된 시편과 진동설비의 특성 그리고, 시험 방법 및 종류를 설명하고, 시험 결과 얻어진 계측자료의 특성에 대하여 논의한다. 이 연구를 통하여 국내에서 운용중인 154kV 변압기 부싱은 그 고유진동수가 20Hz 이상인 고진동수 설비이며, 감쇠비는 4%미만인 것으로 분석되었다. 또한, 특별한 경우를 제외하고, 변압기 부싱은 국내의 설계기준지진에 대하여 충분한 내진안전성을 보유하고 있으며, 강한 공진운동에 의해 예상되는 부싱의 최초 파괴모드는 하단 개스킷의 파손인 것으로 밝혀졌다.

전력용변압기의 자산관리를 위한 고장률 추정기법의 수학적 모델링에 관한 연구 (A Study on the Mathematical Modeling of Failure Rates Estimation for Asset Management of the Power Transformer)

  • 모수용;장경욱;백승명;손진근
    • 전기학회논문지P
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    • 제66권1호
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    • pp.33-37
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    • 2017
  • This paper describes the modeling of the failure rate estimation technique for applying the asset management technique to electric power facilities. There are many modeling techniques to estimate the failure rate. In this paper, the characteristics of the normal distribution, exponential distribution, weibull distribution, and piecewise linear functions are discussed. When evaluating reliability, the evaluation may be less meaningful if the sample data is insufficient. Therefore, Weibull distribution and piecewise linear function are adopted as the most suitable functions for estimating the failure rate of power facilities and the resulting failure rate function is derived.

시험용 변압기 내 부분방전의 초음파 검출에 관한 연구 (Detection of Acoustic signals by PD in Test Transformer)

  • 곽희로;권동진;진상범;전상준;정용기;송일근
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 C
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    • pp.1293-1295
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    • 1995
  • This paper describes the detection of the ultrasonic signals reduced by barrier in test transformer. The ultrasonic signals are generated by partial discharges which cause the insulation failure of transformer. The ultrasonic signals are reduced by barrier. But it was shown that the reduced ultrasonic signals can be measured as the location of the ultrasonic signal detectors is selected properly.

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FCM과 유클리디언 기반 거리유사도에 의한 전력용 변압기의 고장진단 (Fault Diagnosis of Power Transformer by FCM and Euclidean Based Distance Measure)

  • 이대종;이종필;지평식;임재윤
    • 전기학회논문지
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    • 제56권6호
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    • pp.1007-1016
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    • 2007
  • In power system, substation facilities have become too complex and larger according to an extended power system. Also, customers require the high quality of electrical power system. However, some facilities become old and often break down unexpectedly. The unexpected failure may cause a break in power system and loss of profits. Therefore it is important to prevent abrupt faults by monitoring the condition of power systems. Among the various power facilities, power transformers play an important role in the transmission and distribution systems. In this research, we develop intelligent diagnosis technique for predicting faults of power transformer by FCM(Fuzzy c-means) and Euclidean based distance measure. The proposed technique make it possible to measures the possibility and degree of aging as well as the faults occurred in transformer. To demonstrate the validity of proposed method, various experiments are performed and their results are presented.

소손 주상변압기 교체를 위한 임시송전시스템 개발에 관한 연구 (A Study of the Development of the Temporary Transformer System for the Replacement of Bum-out Pole Transformer)

  • 이정균;윤영모;전시식;이재헌;정동주;박용범;김점식;조성문
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2009년도 추계학술대회 논문집
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    • pp.43-46
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    • 2009
  • This paper describes a development of the temporary transformer system and method. The failure causes are genrally divided into problems in manufacturing, mounting and operating. To replace the bum-out pole transformers developed various facilities, power cable clamp, the control panel of self-sensing device and voltage connection box etc. That is more effective to establish the emergency transmission systems for the non interruption replacement of distribution transformers.

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DC 변전소 몰드변압기 온라인 상태 감시 시스템 구현 (Implementation of a Condition Monitoring System for Mold Transformers in DC Substations)

  • 박영;정호성;박철민;장순호
    • 전기학회논문지
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    • 제60권9호
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    • pp.1788-1794
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    • 2011
  • The mold transformer is a complex and critical component of DC substations in Metro system. In this paper, a cost effective and intelligent condition monitoring system for mold transformers in DC substations was developed. This paper also provides an overview of the management program using PD (partial discharge) data on mold transformers. Prior to application of the proposed system to Metro DC substations, experiments were performed at the metro line substation located in Seoul and presented case studies for the use of the intelligent condition monitoring system for mold transformer in DC substations. The experiment results indicated that the developing system can be need in helping mange the risk of unexpected failure of mold type transformers.