Series Arc Fault Detection and Localization in DC Distribution System

Xiong, Qing; Feng, Xianyong; Gattozzi, Angelo L.; Liu, Xiaojun; Lu, Zhonghua; Zhu, Lingyu; Ji, Shengchang; Hebner, Robert E.

doi:10.1109/tim.2019.2890892

Cited by 78 publications

(27 citation statements)

References 31 publications

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“…where σf is the standard deviation in the frequency domain, P is the number of FFT implementation, IPV is the FFT magnitude of arc current, and μPV,freq is the moving average of the FFT magnitude. In this experiment, 20 times FFT are calculated to obtain (11), which induces 81.92 ms computation time. The relative comparison of standard deviation using (11) can distinguish the normal and arc fault condition.…”

Section: Arc Fault Detection Algorithmmentioning

confidence: 99%

“…In this experiment, 20 times FFT are calculated to obtain (11), which induces 81.92 ms computation time. The relative comparison of standard deviation using (11) can distinguish the normal and arc fault condition. Fig.…”

Section: Arc Fault Detection Algorithmmentioning

confidence: 99%

“…The frequency range of relative comparison is predetermined with (12) and (13). When (11) at the abnormal condition is higher than the (11) at the normal condition, the arc fault condition is detected. Using the proposed algorithm, the inverter's step load change and turn's on and off can satisfy (8) > (9) condition.…”

Section: Arc Fault Detection Algorithmmentioning

confidence: 99%

“…Two types of arc faults, parallel and series, can occur in DC systems [10], [11]. Parallel arc fault can be easily detected by the large amount of current.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

DC Series Arc Fault Detection Algorithm for Distributed Energy Resources Using Arc Fault Impedance Modeling

Park

Chae

2020

IEEE Access

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Arc fault detection is important technology to guarantee the safety of power systems and is therefore essential for producing practical power systems for real-world applications. However, fuses and arc fault detection devices (AFDD) struggle to detect series arc faults in DC systems, because the series arc fault induces small current variation between the normal and abnormal conditions. In addition, switching noise from the grid-connected inverter makes detecting arc fault conditions even more difficult. This paper proposes arc fault detection algorithm based on the relative comparison of current variability in terms of frequency spectrum and time series. The operational principle of the proposed algorithm is analyzed to detect the arc fault condition. In addition, the investigation of arc fault impedance using the small-signal modeling can obtain the resonant frequency of arc fault condition at low frequency range. From the impedance model, the frequency analysis range can be designed to avoid the switching noise of inverter. The performance of proposed arc fault detection algorithm is verified with a 3.8 kW grid-connected PV system and arc fault generator.

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Section: Arc Fault Detection Algorithmmentioning

confidence: 99%

Section: Arc Fault Detection Algorithmmentioning

confidence: 99%

Section: Arc Fault Detection Algorithmmentioning

confidence: 99%

“…Two types of arc faults, parallel and series, can occur in DC systems [10], [11]. Parallel arc fault can be easily detected by the large amount of current.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

DC Series Arc Fault Detection Algorithm for Distributed Energy Resources Using Arc Fault Impedance Modeling

Park

Chae

2020

IEEE Access

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“…To solve this problem, high performance intergrated capacitor is used to replace the traditional mutual capacitance between the electrodes, and the value of C m0 can be changed conveniently and accurately. The multi-layer ceramic capacitor used in this sensor has advantages of small volume, high reliability, relatively inexpensive [33] and low loss. Its operating temperature range is within -55 • C∼125 • C, and the temperature coefficient is only ±30 ppm/ • C in this range.…”

Section: The Principle Of Electric Field Coupling and Differential Inmentioning

confidence: 99%

Design and Experiments of Voltage Sensor Based on Electric Field Coupling Principle and Differential Input Structure

Zhou¹,

Zhuang²,

Zhou³

et al. 2020

Preprint

Self Cite

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Traditional potential transformers have problems of large volume, difficulty in insulation, iron core saturation, ferroresonance overvoltage and poor transient response characteristics. The voltage sensor based on the principle of electric field coupling and differential input structure does not need to contact the measured object or ground, and can avoid the above problems. However, it requires a sufficiently high capacitance between the differential electrodes to obtain sufficient accuracy and a high voltage division ratio. The existing method of using mutual capacitance between the differential electrodes will cause many problems and fail to meet the practical needs. To solve the above problems, this paper innovatively uses multi-layer ceramic capacitor to replace the mutual capacitance and designs a new type of voltage sensor. In addition, by using single bypass small resistance grounding method to increase the input impedance of the differential signal processing circuit, error of the sensor is further reduced. The experimental results show that the sensor has excellent accuracy and great transient response characteristics. The ratio error under power frequency is within ±0.5% and the phase error is within 1. The ratio error in the range of 500 Hz&sim;30 kHz is within ±5% and the phase error is within 5. Moreover, it has the advantages of low cost, miniaturization, flexible shape and easy to adjust the voltage division ratio. These characteristics indicate that the sensor has good voltage measurement and sensor network potential.

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Incipient Fault Identification Based Protection for a Medium Voltage DC Integration System

Shi

Jia

et al. 2022

Lecture Notes in Electrical Engineering

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Series Arc Fault Detection and Localization in DC Distribution System

Cited by 78 publications

References 31 publications

DC Series Arc Fault Detection Algorithm for Distributed Energy Resources Using Arc Fault Impedance Modeling

DC Series Arc Fault Detection Algorithm for Distributed Energy Resources Using Arc Fault Impedance Modeling

Design and Experiments of Voltage Sensor Based on Electric Field Coupling Principle and Differential Input Structure

Incipient Fault Identification Based Protection for a Medium Voltage DC Integration System

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