High-Impedance Faulted Branch Identification Using Magnetic-Field Signature Analysis

Sarlak, M.; Shahrtash, S. Mohammad

doi:10.1109/tpwrd.2012.2222056

Cited by 72 publications

(38 citation statements)

References 26 publications

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“…Note: In Step 1, the cut-off frequency of 500 Hz is chosen owing to the fact that low order harmonics, such as 2 nd harmonic and 3 rd harmonic are most evident in fault current [5][6][7]. A filter with such a cut-off frequency can eliminate noises and at the same time reserve the useful low order harmonics.…”

Section: Detection Algorithm Based On CCC Of Zerosequence Currentmentioning

confidence: 99%

“…Many fault features have been extracted and the highly recognized ones are: radiation behavior [1][2][3] and harmonic distortions in voltage and current [4][5][6][7][8][9]. Plenty of detection algorithms have been proposed and analyzed, including electromagnetic radiation based algorithms [3], harmonic based algorithms [4][5][6][7][8][9][10][11][12][13][14], wavelet based algorithms [15][16][17], instantaneous power based algorithms [18], and some intelligent detection algorithms [19,20]. Due to the obvious 3 rd harmonic characteristic of HIFs, the harmonic based algorithms are the most commonly adopted in industrial application.…”

Section: Introductionmentioning

confidence: 99%

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Arc flash fault detection in wind farm collection feeders based on current waveform analysis

Wang

Geng

et al. 2016

J. Mod. Power Syst. Clean Energy

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High impedance faults (HIFs) are easy to occur in collective feeders in wind farms and may cause the cascading of wind generators tripping. This kind of faults is difficult to be detected by traditional relay or fuse due to the limited fault current values and the situation is worse in wind farms. The mostly adopted HIF detection algorithms are based on the 3 rd harmonic characteristic of the fault zero-sequence currents, whereas these 3 rd harmonics are very easy to be polluted by wind power back-to-back converters. In response to this problem, the typical harmonic characteristic of HIF arc flash based on Mayr's arc model is first analyzed, and the typical fault waveforms of HIF in wind farm are presented. Then the performance of the harmonic based HIF detection algorithm is discussed, and a novel detection algorithm is proposed from the viewpoint of time domain, focusing on the convex and concave characteristic of zero-sequence current at zerocrossing points. A HIFs detection (HIFD) prototype implementing the proposed algorithm has been developed. The sensitivity and security of the algorithm are proved by field data and RTDS experiments.

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Section: Detection Algorithm Based On CCC Of Zerosequence Currentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Arc flash fault detection in wind farm collection feeders based on current waveform analysis

Wang

Geng

et al. 2016

J. Mod. Power Syst. Clean Energy

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“…It is well-known that HIF currents present typical characteristics such as buildup, shoulder, nonlinearity, asymmetry, and intermittence [7], [8], which make possible its detection by means of moderns and powerful techniques such as artificial intelligence and the wavelet transform [8]- [14]. With regard to the wavelet transform, much research has been proposed the wavelet coefficients of either the discrete wavelet transform (DWT) or Maximal Overlap DWT (MODWT) for fault and HIF detection [10], [11], [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Detection of Transients Induced by High-Impedance Faults Based on the Boundary Wavelet Transform

Costa

Souza

Brito

et al. 2015

IEEE Trans. on Ind. Applicat.

154

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The development of modern protection functions is a challenge in the emerging environment of smart grids because the current protection system technology still has several limitations, such as the reliable high impedance fault (HIF) detection in multi-grounded distribution networks, which poses a danger to the public when the protection system fails. This paper presents the wavelet coefficient energy with border distortions of a onecycle sliding window designed for the real-time detection of transients induced by HIFs. By using the border distortions, the proposed wavelet-based methodology presents a reliable detection of transients generated by HIFs with no time delay and energy peaks scarcely affected by the choice of the mother wavelet. The signature of different HIFs are presented in both time and wavelet domains. The performance of the proposed wavelet-based method was assessed with compact and long mother wavelets by using data from staged HIFs on an actual energized power system taking into account different fault surfaces as well as simulated HIFs. The proposed method presented a more reliable and accurate performance than other evaluated wavelet-based algorithms.Index Terms-High impedance faults, power system protection, wavelet transform. 0093-9994 (c)

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“…Wavelet based HIF detection algorithms are discussed in [9,10] and a decision tree based approached is discussed by Sheng et al [11]. Magnetic field signature analysis has been utilized to identify the high impedance faulted branch, using a fault indicator mounted on poles of the distribution system [12]. Sagastabeitia, et al [13] discussed a low-current fault detection method in high impedance grounded distribution networks, using residual variations of asymmetries, whereas in [14], mathematical morphology has been proposed as the method to identify the HIF by tracking the shape of the voltage waveform.…”

Section: Introductionmentioning

confidence: 99%

Voltage Based Detection Method for High Impedance Fault in a Distribution System

Thomas

Bhaskar

Prakash³

2015

J. Inst. Eng. India Ser. B

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High-impedance faults (HIFs) on distribution feeders cannot be detected by conventional protection schemes, as HIFs are characterized by their low fault current level and waveform distortion due to the nonlinearity of the ground return path. This paper proposes a method to identify the HIFs in distribution system and isolate the faulty section, to reduce downtime. This method is based on voltage measurements along the distribution feeder and utilizes the sequence components of the voltages. Three models of high impedance faults have been considered and source side and load side breaking of the conductor have been studied in this work to capture a wide range of scenarios. The effect of neutral grounding of the source side transformer is also accounted in this study. The results show that the algorithm detects the HIFs accurately and rapidly. Thus, the faulty section can be isolated and service can be restored to the rest of the consumers.

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High-Impedance Faulted Branch Identification Using Magnetic-Field Signature Analysis

Cited by 72 publications

References 26 publications

Arc flash fault detection in wind farm collection feeders based on current waveform analysis

Arc flash fault detection in wind farm collection feeders based on current waveform analysis

Real-Time Detection of Transients Induced by High-Impedance Faults Based on the Boundary Wavelet Transform

Voltage Based Detection Method for High Impedance Fault in a Distribution System

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