• 전기의세계
• /
• v.38 no.1
• /
• pp.21-30
• /
• 1989

가스 절연개폐장치(GIS)에 있어서 단로기 또는 차단기의 개폐조작시나 자락고장이 생겼을 때는 급준과도전압(VFT)가 발생한다. 이 급준파의 크기는 단로기의 개폐조작시 재점호가 일어날 때가 대지절연파괴를 일으킬때의 극간전압차에 의하여 결정되며, 반사와 전반에 의해 중첩된 진행파로 되는 이른바 급준과도과전압(VFTO)로 된다. 이 VFT의 상승율은 표준뢰임펄스전압보다 크며, 최초의 파두장은 4-7[ns]의 것도 있다. 또 이 VFT전압은 GIS내부 뿐만 아니라 가공 송전선과 대지간, GIS의 용기와 대지사이 등 외부에도 나타난다. 따라서 GIS의 내부와 외부에서 VFT의 스트레스가 나타나므로 GIS의 설계시에 충분히 고려하여야만 된다. 지락고장에 의해 발생되는 용기과도전압(TEV)도 불꽃방전시에는 인가전압의 2배 정도로 되는 경우도 있으므로 절연설계 및 현장시험시에 고려할 필요가 있다. 단로기의 개폐조작시 발생하는 VFT의 피이크치를 최악의 경우로 상정할 때는 절연레벨을 상당히 저하시키며, 특히 GIS내에 돌기물과 같은 이물질이 존재하여 불평등전계를 형성할 때는 절연파괴전압이 대단히 전하된다. 변압기나 부싱 등과 같은 전력기기에서는 외함과 접지사이의 전압을 제한하여 설계할 필요가 있으며 용기와 대지사이의 외부과도과전압(FTO)를 저감시키기 위해서는 GIS의 외함을 각각 분할하여 제작할 필요가 있다.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2003.05d
• /
• pp.29-32
• /
• 2003

Recently, the development of diagnosis technique with high confidence is important on power equipment, for this reason is to use for measurement and analysis of PD with prior appearance of insulation breakdown In this paper, we presents the analysis of trouble signal to use both method of general analysis of $\Phi$-Q-N in PD and statistical parameter by this interpretation Equipment of simulation has made independently DS for 170kV GIS of one phase with same on field. The detected signal through the sensor of Induction and Acoustic Emission is classified which used to characteristic neural network algorithm and then it is analysis.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2003.07b
• /
• pp.1196-1199
• /
• 2003

Recently, the development of diagnosis technique with high confidence is important on power equipment, for this reason is use for measurement and analysis of PD with prior appearance of insulation breakdown. In this paper, we presents the analysis of trouble signal to use ${\phi}-Q$ method which display 2D and 3D Equipment of simulation has made independently DS for 170kV GIS of one phase with same on field. The detected signal through the sensor of Induction and Acoustic Emission is classified to use characteristic neural network algorithm and then it is analysis.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2004.11a
• /
• pp.679-682
• /
• 2004

GIS equipment has problems on confidence according to long-time usage, development of diagnosis technique has been importantly recognized accordingly. Therefore. measurement and analysis of PD has been generally used much equipment of GIS. But, in case of measurement of PD at field, real trouble signals are difficult to classify noise. Accordingly, a variety of trouble conditions for DS were simulated, and detected signals were analyzed by the application of electrical and mechanical methods. For this analysis, detected signals were accumulated according to phase-magnitude with the application of Induction sensor, and then we analyzed the characteristics. For the simulation experiment, we made DS for 170kV GIS and analyzed the characteristics of detected signals with the application of neural network algorithm.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2004.07b
• /
• pp.1207-1210
• /
• 2004

Recently, because GIS equipment has problems on confidence according to long-time usage, development of diagnosis technique has been importantly recognized. Therefore. measurement and analysis of PD has been generally used much equipment of GIS. But, in case of measurement of PD at field, real trouble signals are difficult to classify noise. Accordingly, a variety of trouble conditions for DS were simulated, and detected signals were analyzed by the application of electrical and mechanical methods. For this analysis, detected signals were accumulated according to phase-magnitude with the application of Induction sensor, and then we analyzed the characteristics. For the simulation experiment, we made DS for 170kV GIS and analyzed the characteristics of detected singals with the application of neural network algorithm

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2004.04a
• /
• pp.1-4
• /
• 2004

Recently, because GIS equipment has problems on confidence according to long-time usage, development of diagnosis technique has been importantly recognized. Therefore. measurement and analysis of PD has been generally used much equipment of GIS. But, in case of measurement of PD at field, real trouble signals are difficult to classify noise. Accordingly, a variety of trouble conditions for DS were simulated, and detected signals were analyzed by the application of electrical and mechanical methods. For this anslysis, detected signals were accumulated according to phase-magnitude with the application of Induction sensor, and then we analyzed the characteristics. For the simulation experiment, we made DS for 170kV GIS and analyzed the characteristics of detected singals with the application of neural network algorithm.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2003.11a
• /
• pp.575-578
• /
• 2003

Recently, because GIS equipment has problems on confidence according to long-time usage, development of diagnosis technique has been importantly recognized. Therefore. measurement and analysis of PD has been generally used much equipment of GIS. But, in case of measurement of PD at field, real trouble signals are difficult to classify noise. Accordingly, a variety of trouble conditions for DS were simulated, and detected signals were analyzed by the application of electrical and mechanical methods. For this analysis, detected signals were accumulated according to phase-magnitude with the application of Induction sensor, and then we analyzed the characteristics. For the simulation experiment, we made DS for 170kV GIS and analyzed the characteristics of detected singals with the application of neural network algorithm.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.24 no.2
• /
• pp.69-76
• /
• 2010

Recently, the natural environment changes drastically and the frequency of occurrence for lightning has gradually been increased. Such lightning delivers high volume of energy along the power line and communication line to the equipment in use. The high volume of energy arising from the lightning surge develops in fast velocity to destroy the facilities in power source and many other facilities in operation in sequential destruction with vast energy. This paper examines the characteristics of ZnO varistor to prevent from thermal runaway. We carry out performance evaluation of electrical characteristics on ZnO varistor. we will develop ZnO varistor Prevented from thermal explosion using test result of this paper.

• Electric Engineers Magazine
• /
• v.265 no.9
• /
• pp.22-29
• /
• 2004

최근에는 설비의 이상징후를 포착함으로써 사고를 예지하고 치명적인 상태로 진전되기 전에 보완하는 이른바 예측 보전(또는 예지보전) 기술을 중심으로 하는 사고 예방 방향으로 변화되어 가고 있다. 이 예측보전기술은 기기의 상태를 정량적으로 파악하여 이상징후를 초기단계에서 검지하는 이상예지진단과 기기성능의 경년적인 변화에 착안한 노화진단 등을 중심으로 하고 있다. 이글에서는 변압기, 차단기, 단로기, 전력용 콘덴서, 피뢰기 등 수배전설비 진단 및 보수점검에 대해서 설명하고자 한다.

• Electrical & Electronic Materials
• /
• v.5 no.1
• /
• pp.89-98
• /
• 1992

가스절연개폐장치에서 단로기의 조작시에 발생하는 과도과전압의 측정은 최적절연설계, 신뢰성 향상, 고장탐지 등에 있어 대단히 중요하다. 본 논문은 과도과전압과 시변전계의 정확한 측정이 가능한 용량성 전계센서에 관한 것으로 측정이론, 설계, 교정기술과 실규모 GIS실험장치에서의 과도과전압의 측정에 관한 모의 실험에 대하여 기술하였다. 시제작된 센서의 변환특성은 응답매개변수에 의하여 지배되어지며 센서와 측정계의 주파수대역폭은 수 Hz~ 약 200MHz정도이었다. 실규모 GIS실험장치에 적용하여 과도과전압을 측정한 결과 센서의 우수한 응답특성이 확인되었다.