Identification of Lightning Stroke Due to Shielding Failure and Backflashover for Ultra-High-Speed Transmission-Line Protection

Morales, John; Orduña, Eduardo; Rehtanz, Christian

doi:10.1109/tpwrd.2014.2313875

Cited by 15 publications

(14 citation statements)

References 25 publications

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“…In both EPSs those events analyzed and their databases are registered by the R 1 relay at M bus. It is necessary to note that these databases were used for another research as they are previously reported by [81]- [83].…”

Section: Transient Models Used In This Approachmentioning

confidence: 99%

“…On the other hand, if the BIL is not exceeded, a fault is not produced, and the protection relay must not send a trip order. A description of the importance of the classification of these phenomena is presented in [81]. In this section, this case study is carried out in three steps.…”

Section: A Classification Of Lss That Generate or Not Permanent Faultmentioning

confidence: 99%

“…In addition, it is necessary to note that different protection functions and events were also analyzed for the proposed methodology in other studies [81]- [83] and that other results corresponding to the identification of internal and external faults on DFs with DG integration have also been achieved, which will be presented later on.…”

Section: Transient and Harmonic Behaviormentioning

confidence: 99%

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A Novel Methodology for the Determination of Impulse Response Coefficients Applied to Transmission Line Protection Relays

et al. 2020

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Impulse Response Coefficients (IRC) of digital filters is an imperative step in the development of transmission line protection relay algorithms. Traditionally, Fourier-based filters are used in real applications, where IRC are fixed values of sine and cosine functions with a data window of one or more cycles. Based on state-of-the-art, Mother Wavelet coefficients used in Multiresolution Analysis, and Structuring Element coefficients used in Mathematical Morphology are usually proposed to develop protection algorithms. However, the proper choice of these coefficients is based on empirical process of trial and error. This paper proposes a novel methodology for optimally determining coefficients that depend on the waveform structure analyzed, which is determined using variance as the metric. Assessment of methodology for three case studies considering requirements of relay manufactures (response time, design, harmonic attenuation and other) is presented. The first assessment is to extract coefficients useful for distinguishing among nonfault conditions, harmonics, and arcing faults. The second one is to extract coefficients to filter harmonic components. The assessment is carried out considering different data windows and sampling rates. Test results highlight the efficiency of the model to determine specific coefficients for each case study analyzed. Interestingly, results also showed that the discovered coefficients can be used in another filtering technique. Thus, the third case study involves developing two fault classifiers, which are developed using mathematical morphology where the structuring elements used correspond to the coefficient vectors determined through the proposed methodology. There is a notable paucity of scientific literature focusing on this topic. Therefore, there are several important areas where this study makes an original contribution regarding protection relays.

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Section: Transient Models Used In This Approachmentioning

confidence: 99%

Section: A Classification Of Lss That Generate or Not Permanent Faultmentioning

confidence: 99%

Section: Transient and Harmonic Behaviormentioning

confidence: 99%

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A Novel Methodology for the Determination of Impulse Response Coefficients Applied to Transmission Line Protection Relays

et al. 2020

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“…It is hard to balance the speed and the precision of discriminations of faults and disturbances. How to recognize transients quickly and reliably is the primary consideration for VSC-HVDC transient protection [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

“…Feature extraction aims to represent the unique characteristics of measurements with lower dimension. Some time-domain features such as principal component analysis can extract different patterns from 3 ms transient data to distinguish shielding failure from back-flashover [4]. Signal processing tools such as Fourier transform and wavelet transform [7]- [10] are generally used to reveal signal differences in the frequency domain or time-frequency domain.…”

Section: Introductionmentioning

confidence: 99%

An End-to-end Transient Recognition Method for VSC-HVDC Based on Deep Belief Network

Luo

Hei

Yao

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Lightning is one of the most common transient interferences on overhead transmission lines of high-voltage direct current (HVDC) systems. Accurate and effective recognition of faults and disturbances caused by lightning strokes is crucial in transient protections such as traveling wave protection. Traditional recognition methods which adopt feature extraction and classification models rely heavily on the performance of signal processing and practical operation experiences. Misjudgments occur due to the poor generalization performance of recognition models. To improve the recognition rates and reliability of transient protection, this paper proposes a transient recognition method based on the deep belief network. The normalized line-mode components of transient currents on HVDC transmission lines are analyzed by a deep belief network which is properly designed. The feature learning process of the deep belief network can discover the inherent characteristics and improve recognition accuracy. Simulations are carried out to verify the effectiveness of the proposed method. Results demonstrate that the proposed method performs well in various scenarios and shows higher potential in practical applications than traditional machine learning based ones. Index Terms-Deep belief network, transient recognition, machine learning, voltage source converter based high-voltage direct current (VSC-HVDC).

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High-speed directional protection without voltage sensors for distribution feeders with distributed generation integration based on the correlation of signals and machine learning

Morales

Orduña

Villarroel

et al. 2020

Electric Power Systems Research

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Identification of Lightning Stroke Due to Shielding Failure and Backflashover for Ultra-High-Speed Transmission-Line Protection

Cited by 15 publications

References 25 publications

A Novel Methodology for the Determination of Impulse Response Coefficients Applied to Transmission Line Protection Relays

A Novel Methodology for the Determination of Impulse Response Coefficients Applied to Transmission Line Protection Relays

An End-to-end Transient Recognition Method for VSC-HVDC Based on Deep Belief Network

High-speed directional protection without voltage sensors for distribution feeders with distributed generation integration based on the correlation of signals and machine learning

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