• 제목/요약/키워드: Arc Fault Detection

검색결과 61건 처리시간 0.026초

A Series Arc Fault Detection Strategy for Single-Phase Boost PFC Rectifiers

  • Cho, Younghoon;Lim, Jongung;Seo, Hyunuk;Bang, Sun-Bae;Choe, Gyu-Ha
    • Journal of Power Electronics
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    • 제15권6호
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    • pp.1664-1672
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    • 2015
  • This paper proposes a series arc fault detection algorithm which incorporates peak voltage and harmonic current detectors for single-phase boost power factor correction (PFC) rectifiers. The series arc fault model is also proposed to analyze the phenomenon of the arc fault and detection algorithm. For arc detection, the virtual dq transformation is utilized to detect the peak input voltage. In addition, multiple combinations of low- and high-pass filters are applied to extract the specific harmonic components which show the characteristics of the series arc fault conditions. The proposed model and the arc detection method are experimentally verified through a boost PFC rectifier prototype operating under the grid-tied condition with an artificial arc generator manufactured under the guidelines for the Underwriters Laboratories (UL) 1699 standard.

누전, 아크, 과부하에 의한 전기화재 제어 시스템 보드의 구현 (The Implementation of the system-on-board controllable the electrical fires due to ground fault, arc fault and overload)

  • 김병철;전중창
    • 한국정보통신학회논문지
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    • 제15권2호
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    • pp.419-424
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    • 2011
  • 누전, 아크 그리고 과부하로 인한 전기화재를 탐지하고 제어할 수 있는 시스템보드(system- on-board)를 구현하였다. 이를 위하여 화재방지제어 시스템 IC를 사용하였으며, 누설전류 검출을 위한 GF(ground fault)신호 검출회로, 아크(arc fault)신호 검출회로, 그리고 과전류가 발생할 경우 입력전압을 제어할 수 있는 과부하신호 검출회로를 설계하였다. GF신호 검출회로와 아크신호 검출회로는 누설전류와 아크신호에 각각 잘 동작하였으며, 과부하(overload) 신호 검출회로는 노이즈나 부하변동에 따른 오동작 없이 과부하시에만 동작함을 확인하였다.

태양광 직렬 아크 검출기의 오검출 방지를 위한 DWT 기반 파라미터 및 반복 알고리즘 (DWT-Based Parameter and Iteration Algorithm for Preventing Arc False Detection in PV DC Arc Fault Detector)

  • 안재범;이진한;이진;류홍제
    • 전력전자학회논문지
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    • 제27권2호
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    • pp.100-105
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    • 2022
  • This paper applies the arc detection algorithm to prevent the false detection in photo voltaic series arc detection circuit, which is required not only to detect the series arc quickly, but also not falsely detect the arc for the non-arc noise. For this purpose, this study proposes a rapid and preventive false detection method of single peak noise and short noise signals. First, to prevent false detection by single peak noise, Discrete wavelet transform (DWT)-based characteristic parameters are applied to determine the shape and the amplitude of the noise. In addition, arc fault detection within a few milliseconds is performed with the DWT iterative algorithm to quickly prevent false detection for short noise signals, considering the continuity of serial arc noise. Thus, the method operates not only to detect series arc, but also to avoid false arc detection for peak and short noises. The proposed algorithm is applied to real-time serial arc detection circuit based on the TMS320F28335 DSP. The serial arc detection and peak noise filtering performances are verified in the built simulated arc test facility. Furthermore, the filtering performance of short noise generated through DC switch operation is confirmed.

DC 전류에 의한 직렬 아크 특성 분석 (Analysis of Serial Arc with DC Current)

  • 반기종;남문현;김낙교
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 제38회 하계학술대회
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    • pp.1700-1701
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    • 2007
  • DC Arc Fault Current is an electric discharge which is occurred in two opposite electrode. In this paper, DC arc detection device is designed for the display of DC arc fault current which is occurred in the local electric network with DC Power. This DC arc is one of the main causes of electric fire. Arc fault in electrical network has the characteristics of low current, high impedance and low frequency. DC Arc current detection device is designed for the display of arc fault current which has the modified arc characteristics.

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DC Arc 검출장치에 대한 연구 (A Study of DC Arc Detection Device)

  • 반기종;남문현;김낙교
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.98-100
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    • 2007
  • DC Arc Fault Current is an electric discharge which is occurred in two opposite electrode. In this paper, DC arc detection device is designed for the display of DC arc fault current which is occurred in the local electric network with DC Power. This DC arc is one of the main causes of electric fire. Arc fault in electrical network has the characteristics of low current, high impedance and low frequency. DC Arc current detection device is designed for the display of arc fault current which has the modified arc characteristics.

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이산 웨이블렛 변환을 이용한 직렬 아크고장 신호 검출 방법 분석 (Analysis of Detection Method for Series Arc Fault Signal by using DWT)

  • 방선배;김종민;박종연;정영식
    • 전기학회논문지P
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    • 제58권3호
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    • pp.362-368
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    • 2009
  • Electrical fires have been occurred continuously in spite of installing ELB. Therefore the concern with the electrical arc-fault that cause the fire has growing. This paper measured series arc fault currents by the method of arc generator test in UL standard 1699. The used analysis methods in this paper are three different ways using DWT(discrete wavelet transform) those are frequently used for the arc fault current signal analysis. The arc fault detection probability is 100 % by method using noise-energy/shoulder-duration ratio of approximation coefficient. As these results, the variation of noise-energy and shoulder-duration ratio of approximation coefficient are founded important factors for the analysis of arc fault.

태양광 직렬 아크 검출기의 검출 성능 및 DWT 알고리즘 연산 속도 개선 (Arc Detection Performance and Processing Speed Improvement of Discrete Wavelet Transform Algorithm for Photovoltaic Series Arc Fault Detector)

  • 조찬기;안재범;이진한;이기덕;이진;류홍제
    • 전력전자학회논문지
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    • 제26권1호
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    • pp.32-37
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    • 2021
  • This study proposes a DC series arc fault detector using a frequency analysis method called the discrete wavelet transform (DWT), in which the processing speed of the DWT algorithm is improved effectively. The processing time can be shortened because of the time characteristic of the DWT result. The performance of the developed DC series arc fault detector for a large photovoltaic system is verified with various DC series arc generation conditions. Successful DC series arc detection and improved calculation time were both demonstrated through the measured actual arc experimental result.

전기화재 방지를 위한 아크고장 판단기법에 대한 연구 (The Arc Fault Determination Method for the Electric Fire Prevention)

  • 고윤석
    • 한국전자통신학회논문지
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    • 제3권4호
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    • pp.260-265
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    • 2008
  • 수용가 시스템에서 발생하는 아크고장은 전기화재의 직접적인 원인이 되지만 기존의 고장검출 메커니즘으로는 확인이 어렵다. 따라서 본 연구에서는 전기화재의 주 원인이 되고 있는 아크고장의 원인을 분석하고 아크고장 기본 검출 메커니즘을 설계하였다. 또한 아크고장 판단의 정확도를 제고시킴으로써 오동작을 최소화할 수 있는 신호처리 기반의 아크고장 판단 방법론을 제안하였다. 끝으로, 하나의 돌입전류에 대해 이산 프리에 변환(DFT)과 이산 웨이블릿 변환(DWT)을 적용, 그 특성을 분석함으로써 신호척리 기반 고장판단 기법의 적용 방법론을 보였다.

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직류 시스템에서의 아크 검출에 관한 연구 (A Study of Arc Detection at DC Power System)

  • 반기종;김진우;원영진;임승하
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.461-462
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    • 2007
  • DC Arc is an electric discharge which is occurred in two oppolsite electrode when system operating with DC current appliance. In this paper, DC arc detection system is designed for the display of DC arc fault current which is occurred in the local electric network with DC Power. This DC arc is one of the main causes of electric fire of dc system. Arc fault in electrical network has the characteristics of low current, high impedance and low frequency. DC Arc current detection device is designed for the display of arc fault current which has the modified arc characteristics.

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Mash-up 분석기술 기반의 아크 고장 검출 알고리즘에 관한 연구 (A Study on Arc Fault Detection Algorithm Based on Mash-up Analysis Technique)

  • 이기연;문현욱;김동우;임용배;최종수
    • 전기학회논문지
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    • 제66권6호
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    • pp.995-1000
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    • 2017
  • In this paper, we present an electrical arc detection algorithm using the mash-up analysis technique which is the core technology for the autonomous electrical safety management system(AESMS) of the multi-unit dwellings. The mash-up analysis technique analyzes the voltage, load current, zero phase current data simultaneously to judge arc faults. In order to develop the arc fault detection algorithm, the characteristics of series arc and parallel arc were analyzed. Also, we propose the mash-up analysis technique that analyzes waveforms of voltage, load current, and zero phase current at the same time. The arc fault detection algorithm was developed using the mash-up analysis technique. The developed algorithm can prevent electrical disasters in an effective way through accident prediction, and it will be used as a basic technology to introduce an autonomous electrical safety management system.