• Title/Summary/Keyword: Arc Fault Detection

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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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    • v.15 no.6
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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.

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

  • Kim, Byung-Cheul;Chun, Joong-Chang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.2
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    • pp.419-424
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    • 2011
  • The system-on-board detectable and controllable the electrical fires due to ground fault(GF), arc fault and overload is implemented. The system IC for controlling and preventing the electrical fires is available to this system. The GF detection circuit for detecting the electrical leakage current, the arc fault detection circuit and the overload detection circuit controllable the input voltage for flowing the overload current are designed. The GF detection circuit and the arc fault detection circuit are good operated to the electrical leakage current and the arc signal, respectively. It is confirmed that the overload detection circuit has shown no erratic operation with the noise or the load variation and is only operated at the overload condition.

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

  • Ahn, Jae-Beom;Lee, Jin-Han;Lee, Jin;Ryoo, Hong-Je
    • The Transactions of the Korean Institute of Power Electronics
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    • v.27 no.2
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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.

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

  • Ban, Gi-Jong;Nam, Moon-Hyun;Kim, Lark-Kyo
    • Proceedings of the KIEE Conference
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    • 2007.07a
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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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A Study of DC Arc Detection Device (DC Arc 검출장치에 대한 연구)

  • Ban, Gi-Jong;Kim, Lark-Kyo;Nam, Moon-Hyun
    • Proceedings of the KIEE Conference
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    • 2007.04a
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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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Analysis of Detection Method for Series Arc Fault Signal by using DWT (이산 웨이블렛 변환을 이용한 직렬 아크고장 신호 검출 방법 분석)

  • Bang, Sun-Bae;Kim, Chong-Min;Park, Chong-Yeun;Chung, Young-Sik
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.58 no.3
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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.

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

  • Cho, Chan-Gi;Ahn, Jae-Beom;Lee, Jin-Han;Lee, Ki-Duk;Lee, Jin;Ryoo, Hong-Jae
    • The Transactions of the Korean Institute of Power Electronics
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    • v.26 no.1
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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.

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

  • Ko, Yun-Seok
    • The Journal of the Korea institute of electronic communication sciences
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    • v.3 no.4
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    • pp.260-265
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    • 2008
  • The arc-fault occurring in the customer system becomes the direct cause of electric fire. However, it is very difficult to identify the arc-fault using the existing fault detection mechanism because the magnitude of the fault current is very small. Accordingly, this paper analyzes the causes of arc fault and designs the basic detection mechanism of arc fault. And then, it proposes an signal processing-based arc-fault determination methodology which can enhance the of accuracy of the arc-fault determination by applying DFT/DWT to the voltage and current waveform. Finally, this paper showed the application methodology of the proposed signal processing based fault determination method by applying and analyzing DFT/DWT to an high voltage in-rush current waveform.

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

  • Ban, Gi-Jong;Kim, Jin-Woo;Won, Young-Jin;Lim, Sung-Ha
    • Proceedings of the IEEK Conference
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    • 2007.07a
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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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A Study on Arc Fault Detection Algorithm Based on Mash-up Analysis Technique (Mash-up 분석기술 기반의 아크 고장 검출 알고리즘에 관한 연구)

  • Lee, Ki-Yeon;Moon, Hyun-Wook;Kim, Dong-Woo;Lim, Young-Bea;Choi, Jong-Soo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.6
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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.