Determination of secondary arc extinction time and characterization of fault conditions of single-phase autoreclosures

Luxenburger, R.; Schegner, Peter

doi:10.1109/fps.2005.204249

Cited by 17 publications

(7 citation statements)

References 2 publications

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“…However, its behavior depends on the sampling rate and it can sensitivity to outliers, which could increase the processing and calculation times. It is possible to find in References [40][41][42][43][44][45][46][47][48], different methods based on the frequency analysis, especially harmonic values of the faulted phase. In those methods, by using a discrete Fourier transform (DFT), several indexes are calculated.…”

Section: Bibliographic Review About Arcing Faults On Tlsmentioning

confidence: 99%

A Novel Approach to Arcing Faults Characterization Using Multivariable Analysis and Support Vector Machine

et al. 2019

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Based on the Institute of Electrical and Electronics Engineers (IEEE) Standard C37.104-2012 Power Systems Relaying Committee report, topics related to auto-reclosing in transmission lines have been considered as an imperative benefit for electric power systems. An important issue in reclosing, when performed correctly, is identifying the fault type, i.e., permanent or temporary, which keeps the faulted transmission line in service as long as possible. In this paper, a multivariable analysis was used to classify signals as permanent and temporary faults. Thus, by using a simple convolution process among the mother functions called eigenvectors and the fault signals from a single end, a dimensionality reduction was determined. In this manner, the feature classifier based on the support vector machine was used for acceptably classifying fault types. The algorithm was tested in different fault scenarios that considered several distances along the transmission line and representation of first and second arcs simulated in the alternative transients program ATP software. Therefore, the main contribution of the analysis performed in this paper is to propose a novel algorithm to discriminate permanent and temporary faults based on the behavior of the faulted phase voltage after single-phase opening of the circuit breakers. Several simulations let the authors conclude that the proposed algorithm is effective and reliable.

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Section: Bibliographic Review About Arcing Faults On Tlsmentioning

confidence: 99%

A Novel Approach to Arcing Faults Characterization Using Multivariable Analysis and Support Vector Machine

et al. 2019

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“…The protection scheme of fast AdSPAR proposed in this study is made by measuring the harmonic voltages at the faulted phase terminals. Voltage harmonic content has already been investigated by many researchers, among them [16][17][18][19][20][21][22][23].…”

Section: Fast Adaptive Sparmentioning

confidence: 99%

Implementation and performance evaluation of a harmonic filter for use in adaptive single‐phase reclosing

Dias

Tavares

2017

IET Generation, Transmission & Distribution

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“…According to these authors, the extinction of the arc can be detected if THD is below a threshold value. Reference [5] additionally underlines that the analysis of certain harmonics of the transient recovery voltage can be used to decide whether there is an arcing fault or a permanent fault. In [6] the authors propose to distinguish between an arcing fault and a permanent fault by the value of the DC component of the zero sequence voltage, because the DC component is close to zero for a permanent fault.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Adaption of Dead Time for Single-Phase Autoreclosing

Vogelsang¹,

Romeis²,

Jaeger³

2016

IEEE Trans. Power Delivery

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An approach for a real time adaption of the dead time for auto-reclosing on high voltage lines was proposed. The objective was the optimal adaption of the dead time of a currently running single-phase auto-reclosing cycle by calculating the secondary arc current based on measurements. The algorithms for optimization were performed for real time application. For this purpose, the fault location plus the load currents of the parallel non-faulty conductors were measured. The measurement and the calculation of the dead time took place during the fault and the dead time period. In this way, an optimized dead time setting with regard to the actual fault location and loading conditions were achieved. This approach results to an on-line determination of a minimum necessary dead time of a successful reclosing under consideration of the fault location and prevailing loading conditions. Analytical calculations and numerical examples as well as high voltage field tests verified the results.

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Determination of secondary arc extinction time and characterization of fault conditions of single-phase autoreclosures

Cited by 17 publications

References 2 publications

A Novel Approach to Arcing Faults Characterization Using Multivariable Analysis and Support Vector Machine

A Novel Approach to Arcing Faults Characterization Using Multivariable Analysis and Support Vector Machine

Implementation and performance evaluation of a harmonic filter for use in adaptive single‐phase reclosing

Real-Time Adaption of Dead Time for Single-Phase Autoreclosing

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