• The Transactions of the Korean Institute of Power Electronics
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• v.26 no.4
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• pp.271-276
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• 2021

Arc fault detector based on multilevel DWT with analysis of high-frequency noise components over 100 kHz is proposed in this study to improve the performance in detecting serial arcs and distinguishing them from inverter noise in PV systems. PV inverters generally operate at a frequency range of 20-50 kHz for switching operation and maximum power tracking control, and the effect of these frequency components on the signal for arc detection leads to negative arc detection. High-speed ADC and multilevel DWT are used in this study to analyze frequency components above 100 kHz. Such high frequency components are less influenced by inverter noise and utilized to detect as well as separate DC series arc from inverter noise. Arc detectors identify the input current of PV inverters using a Rogowski coil. The sensed signal is filtered, amplified, and used in 800kSPS ADC and DWT analysis and arc occurrence determination in DSP. An arc detection simulation facility in UL1699B was constructed and AFD tests the proposed detector were conducted to verify the performance of arc detection and performance of distinction of the negative arc. The satisfactory performance of the arc detector meets the standard of arc detection and extinguishing time of UL1699B with an arc detection time of approximately 0.11 seconds.

• Journal of Advanced Marine Engineering and Technology
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• v.34 no.2
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• pp.332-338
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• 2010

Annually, electrical fires caused by arcing phenomena in power system rapidly increase as the use of more electric appliances, but there is no established method for the prevention of the accidents. With this background, this paper dealt with the experimental results on a series arc detection technique and a device for air conditioners. Series arcing phenomena that is generated in incomplete connection of air conditioners was simulated, and the frequency spectrum was analyzed. The Fast Fourier Transform (FFT) of the arc pulse showed that the dominant frequency components exist in ranges of 190 kHz~250 kHz and 900 kHz~1.6 MHz. An arc detection circuit with low cut off frequency of 170 kHz to attenuate 60 Hz by 170 dB and a signal discriminator were designed. Also, an algorithm which separate series arc signal from unwanted noises produced by switching operation, inverter, and surge was proposed. Application experiment was carried out on several types of air-conditioners by using the arc generator specified in UL1699, and the results showed the over 99 % accuracy.

• Journal of the Korean Society for Railway
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• v.11 no.5
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• pp.477-481
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• 2008

This paper dealt with a detection method of series arc existence which is a symptom of electric fires in low-voltage system. The proposed detection circuit consists of a high-pass filter with a low cut-off frequency of 3kHz to attenuate power frequency voltage by 80 dB and an active band-pass filter with a center frequency of 4kHz to detect only the series arc signals. The performance of the circuit was evaluated in a phase-controlled incandescent lamp as a non-linear load and an inverted-fed induction motor as a high frequency load by using the arc generator specified in UL1699. From the experimental results, it was confirmed that the proposed method solved the detection error, which is being the most problem, by discriminating the series arc signal even in non-linear and high frequency loads.

• Proceedings of the KIPE Conference
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• 2011.11a
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• pp.34-35
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• 2011

전기화재의 주요 원인 중 하나인 아크를 검출 및 차단하기 위한 장치로서 아크차단기(AFCI)가 사용되고 있으며 이는 UL1699에서 규정되고 있다. 본 논문에서는 UL1699에서 정의되는 직렬아크의 발생 조건에 따라 아크발생장치를 이용하여 아크를 발생시키고 부하를 변화시켜 아크가 일어날 경우의 교류전원의 특성을 해석하였다.

• Current Photovoltaic Research
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• v.11 no.4
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• pp.118-123
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• 2023

The main cause of solar facility fires is arc, and in the last 3 years ('16 to '18), about 80% of domestic solar facility fires have been caused by arcs. The capacity of solar power facilities installed around the world continues to increase, and fires caused by arcs are also expected to increase as the solar power generation facilities that were initially installed become obsolete, In this paper, an arc generation test was conducted based on the UL1699B test standard. As a result of the test, the arc generation satisfied the minimum arc current according to the test conditions, and DC arc characteristics were analyzed through data such as arc voltage and arc current according to variables such as speed of moving electrodes and electrode spacing.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.21 no.2
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• pp.182-187
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• 2008

This paper dealt with the detection algorithm of series arcing, which is a cause of electric fires in low-voltage wiring systems. To find the distinguished electrical features of series arc, we simulated series arcing by the arc generator specified in UL1699. An electric heater, an inverter-controlled vacuum cleaner, and a phase-controlled incandescent lamp were used as loads to generate series arcing. A high-pass filter (HPF) with the low cut-off frequency of 3 kHz at -3 dB was fabricated and applied to separate the series arc signal from the AC voltage source. The experiment showed that the high frequency signal generates randomly during series arcing, and the phase-controlled incandescent lamp produces high frequency pulses even in normal state. In this case, the magnitude, the width, and the randomness of high frequency signal should be analyzed to estimate series arcing precisely.

• Proceedings of the KIPE Conference
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• 2013.11a
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• pp.231-232
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• 2013

본 논문에서는 아크검출 알고리즘을 제안한다. 아크를 검출하기 위하여 아크의 전기적 특성 중 하나인 고조파에 대하여 분석하고 아크로 인한 홀수고조파의 변화를 분석하여 아크를 검출할 수 있는 아크 검출 알고리즘을 설계한다. 이를 증명하기 위하여 UL1699에서 제안하는 직렬아크 발생장치를 통하여 아크를 발생시키고 측정한 전류파형을 기반으로 알고리즘을 검증하였다.

• Proceedings of the KIPE Conference
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• 2012.07a
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• pp.580-581
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• 2012

아크는 전기화재의 주요 원인 중 하나이며 전기 배선이나 설비 등에서 두 전극 사이의 기체를 통하여 방전되면서 빛과 열을 발산하는 현상이다. 본 논문에서는 UL-1699에서 규정하고 있는 직렬아크의 발생 조건에 따라 모의 아크 발생장치를 통하여 여러 가정용 부하에서 아크를 발생시키고 주파수 영역에서의 아크전류파형을 분석해 보고 신속한 아크 검출 방법을 연구하고자 한다.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.316-320
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• 2008

This paper described the design and fabrication of a series arc detection module to monitor electrical insulation in low-voltage system. The module consists of a passive high-pass filter with a low cut-off frequency of 3 kHz to attenuate power frequency voltage by 80 dB and an active band-pass filter with a frequency of 4 kHz to detect series arc signals only. For the application experiment, we simulated series arcing phenomena on various loads such as incandescent lamp controlled by dimmer and inverter fed induction motors by an arc generator specified in UL1699. From the experimental results, we could detect series arc signals without an influence of noises.

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.1-3
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• 2020

본 논문은 주파수 분석 방법 중 하나인 Discrete Wavelet Transform (DWT)을 활용하여 태양광 직렬 아크 사고를 검출하는 방법에 관하여 다룬다. DWT 알고리즘은 주파수 도메인에서도 시간 축 정보를 표현할 수 있어 기존의 Fast Fourier Transform (FFT) 주파수 분석 알고리즘과 차이점이 있으며, 대용량 태양광 시스템의 직렬 아크 사고 검출에 최적화 되도록 DWT 알고리즘의 속도를 향상시켜 태양광 DC 아크 사고 안전규격인 UL1699B의 요구 조건을 만족시켰다. DWT 알고리즘의 경우 TMS320F28033 기반으로 구현 되었으며 대용량 PV 시스템 적용을 위해 로고스키코일을 전류 센서로 사용하였다. 또한, 모의 DC 직렬 아크 발생 회로를 구축하여 제작한 사고 검출기의 성능을 실제 아크 발생 조건에서 검증하였다.