Fault detection, classification and faulted phase selection approach based on high-frequency voltage signals applied to a series-compensated line

Aguilera, C.; Orduña, Eduardo; Rattá, G.

doi:10.1049/ip-gtd:20045157

Cited by 33 publications

(12 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several papers have been used a similar energy of (6) for fault and power quality disturbance analysis for either realtime or off-line applications by using DWT or MODWT [17], [20], [29]- [31]. In [19] was proposed the energyĖ ≈ E wb of MODWT for HIF detection by using three wavelet decomposi-tion, whereas this paper proposes the energy E w = E wa + E wb for this purpose by using only the first scale because E wa provides additional information for HIF detection due to the effects of the border distortions (E wa ).…”

Section: Recursive Wavelet Coefficient Energy Of the Modwtmentioning

confidence: 99%

“…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]. By using a one-cycle sliding window, the wavelet coefficient energy without border distortions has been also proposed for fault and HIF detection [17]- [20]. Most wavelet-based HIF detection approaches are related to complex hybrid methods, need various decomposition levels, and do not refer to the real-time version of the conventional wavelet transform, which can limit some methods for the real-time HIF detection in protective devices.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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.

153

View full text Add to dashboard Cite

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)

show abstract

Section: Recursive Wavelet Coefficient Energy Of the Modwtmentioning

confidence: 99%

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.

153

View full text Add to dashboard Cite

show abstract

“…Some works in the literature use only one of the details or calculate the average power of the coefficients [15]. In constrast, the waveletconcat front end concatenates all the coefficients and organizes them in a matrix Z.…”

Section: Preprocessing and Front Endmentioning

confidence: 99%

An Experimental Evaluation Of Automatic Classification Of Sequences Representing Short Circuits In Transmission Lines

Morais

Pires

Cardoso

et al. 2016

Anais Do 8. Congresso Brasileiro De Redes Neurais

View full text Add to dashboard Cite

This work concerns automatic classification of short circuits in transmission lines. These faults are responsible for the majority of the disturbances and cascading blackouts. Each short circuit is represented by a sequence (time-series) and both online (for each short segment) and offline (taking in account the whole sequence) classification are investigated. Results with different preprocessing (e.g., wavelets) and learning algorithms are presented, which indicate that decision trees and neural networks outperform the other methods. Another contribution of this work is to promote the adoption of a public and comprehensive labeled dataset with short circuit sequences, which allows to properly compare the algorithms and reproduce the results.

show abstract

“…Similar energy has been used for fault and power-quality disturbance detection in real-time and/or offline analysis by using DWT or MODWT [34], [35], [36], [37]. However, this energy presents some drawbacks, such as time delay in realtime analysis with the choice of the mother wavelet, such as addressed in the remainder of this paper.…”

Section: A Energy Without Border Distortionsmentioning

confidence: 99%

Wavelet-Based Power System Stabilizer

Neto

Ribeiro

Barreto

et al. 2015

IEEE Trans. Ind. Electron.

View full text Add to dashboard Cite

This paper proposes a wavelet-based power system stabilizer by using both the scaling coefficient energy and the wavelet coefficient energy with border distortions of a one-cycle sliding window. The boundary scaling coefficient energy is used for real-time extraction and compensation of electromechanical oscillations in the synchronous generator, whereas the boundary wavelet coefficient energy is used for the real-time detection of electrical oscillations and for tripping the wavelet-based power system stabilizer at the fault inception time. The performance of the proposed wavelet-based power system stabilizer was assessed in an experimental power system laboratory setup and compared with a conventional power system stabilizer.Index Terms-Wavelet transform, synchronous generator, power system stabilizer, electromechanical oscillations, electrical oscillations.

show abstract

Fault detection, classification and faulted phase selection approach based on high-frequency voltage signals applied to a series-compensated line

Cited by 33 publications

References 4 publications

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

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

An Experimental Evaluation Of Automatic Classification Of Sequences Representing Short Circuits In Transmission Lines

Wavelet-Based Power System Stabilizer

Contact Info

Product

Resources

About