New One Terminal Digital Algorithm for Adaptive Reclosing and Fault Distance Calculation on Transmission Lines

Radojevic, Z.M.; Shin, Jong Gye

doi:10.1109/tpwrd.2005.860285

Cited by 56 publications

(31 citation statements)

References 9 publications

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“…Furthermore, it can be seen in Table I that even if the other mother wavelets are used as the activation functions of hidden layer wavelons, the AEI will be very small. [3,7] and the results are illustrated in Figure 10 where the fault location errors are given for different fault location. Therefore, it can be said that the WN performance for the arcing fault location, is almost independent of the wavelet type used in the wavelons.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Method of reference [3] Method of reference [7] Proposed method Figure 10. The proposed method does not have the restriction of conventional methods which are not suitable for dealing with ill-defined and uncertain systems, nor does it have the limitations associated with traditional ANN-or ANFIS-based algorithms such as convergence to local optimum points, overfit and/or under-fit problems.…”

Section: Resultsmentioning

confidence: 99%

“…Over the past decade, a suite of methods has been proposed for arcing fault location in transmission lines using measured current and voltage phasors from one end or both ends of the lines [1][2][3][4][5][6][7][8]. In Refs.…”

Section: Introductionmentioning

confidence: 99%

“…[1,2] using time area equations and least square method, two schemes have been suggested for detecting arcing fault points in transmission lines. [7,8] only current and voltage phasors measured at one end of the transmission line has been used for arcing fault location. [3][4][5][6] present different methods based on the current and voltage phasors measured at both ends of transmission lines.…”

Section: Introductionmentioning

confidence: 99%

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A new method for arcing fault location using discrete wavelet transform and wavelet networks

Jamali

Ghaffarzadeh

2011

Int Trans Elec Energy Syst

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SUMMARY This paper presents a new method for arcing (transient) fault location by combining discrete wavelet transform (DWT) and wavelet networks (WNs). The single‐end relaying point voltage and current waveforms (captured with a sampling rate of 2.5 kHz) are de‐noised by DWT to obtain a higher signal‐to‐noise ratio. The feature vectors contain the magnitudes of the three phase post‐fault voltage and current fundamental frequency phasors obtained by DWT. The feature vectors for different arcing fault conditions are applied to WN for training and testing purposes. Although the prime aim of the proposed method is arcing fault location, it can also be applied for permanent faults. The accuracy of the proposed method has been tested and verified under various fault conditions on a 400 kV overhead line using the Electro‐Magnetic Transient Program (EMTP) software package. Performance of the new method has also been compared with several existing methods under similar fault conditions, and the test results show better accuracy of the proposed method. Copyright © 2011 John Wiley & Sons, Ltd.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new method for arcing fault location using discrete wavelet transform and wavelet networks

Jamali

Ghaffarzadeh

2011

Int Trans Elec Energy Syst

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“…A numerical spectral domain algorithm devoted to arcing fault recognition and fault distance calculation has been introduced by Radojevic et al [10][11][12]. Arc voltage amplitude and fault distance are calculated from the fundamental and third harmonics of the terminal voltage and current phasors.…”

Section: Introductionmentioning

confidence: 99%

Single end feeder arcing fault location using mutual inductance

Alamuti

Nouri

2011

Int Trans Elec Energy Syst

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SUMMARY Impedance‐based fault location methods to date are able to locate only permanent and linear faults. Current fault location methods assume that arc resistance is constant to locate the fault. However, because of the variable nature of the arc resistance, arcing faults cannot be considered as a linear fault. Furthermore, the duration of intermittent and transitory faults is not necessarily enough for fundamental frequency‐based fault location methods. Therefore, available methods are not applicable for arcing fault location. In this article, a novel method is proposed for arcing fault location using time‐based formulation. The advantages of the proposed method over available methods are as follows: (i) fewer samples are necessary for the algorithm to calculate the location, (ii) it is capable of locating variable resistance faults, and (iii) it is independent of arcing fault type. The validity of the devised algorithm is studied within the power system computer aided design‐electromagnetic DC (PSCAD‐EMTDC) environment. Two different arc models have been simulated, and the produced data have been used for fault location algorithm. The results show a good accuracy for both arcing fault models. Copyright © 2011 John Wiley & Sons, Ltd.

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Hardware implementation of a real‐time adaptive single‐phase auto‐reclosure for power transmission lines

Jannati

Moshtagh

2020

Int Trans Electr Energ Syst

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Summary In order to distinguish permanent single line‐to‐ground faults from transient faults and prevent reclosing in the case of a permanent fault occurrence, an adaptive algorithm is proposed. The proposed algorithm prevents unsuccessful reclosing if the event is transient by identifying the extinguishing time of the secondary arc, thus preventing long interruptions in the electricity production. Furthermore, an adaptive auto‐reclosure is constructed based on the proposed algorithm. Extensive simulations in the EMTP environment and performing tests by the constructed reclosure and a test relay device (Vebko) using practical data verify the speed and accuracy of the proposed algorithm.

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New One Terminal Digital Algorithm for Adaptive Reclosing and Fault Distance Calculation on Transmission Lines

Cited by 56 publications

References 9 publications

A new method for arcing fault location using discrete wavelet transform and wavelet networks

A new method for arcing fault location using discrete wavelet transform and wavelet networks

Single end feeder arcing fault location using mutual inductance

Hardware implementation of a real‐time adaptive single‐phase auto‐reclosure for power transmission lines

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