High-speed non-unit transmission line protection using single-phase measurements and an adaptive wavelet: zone detection and fault classification

Pérez, Fabián; Aguilar, Rommel; Orduña, Eduardo; Jaeger, Johann; Guidi, G.

doi:10.1049/iet-gtd.2011.0592

Cited by 33 publications

(13 citation statements)

References 11 publications

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“…The discrimination components can be derived as follows: (14) where is a preset threshold; and ( , 1, 2, 3) is a logical value that will be used as a discriminant component for faulted phase selection. Fig.…”

Section: B Classification Indexmentioning

confidence: 99%

“…A novel WT-based technique for phase selection is presented in [10], and the online applications of WT to power system relaying are reported in [11]. The adaptive wavelet algorithm is proposed for feature detection in [12], based on which two methods that use single-phase measurement are presented to classify faults on transmission lines [13], [14]. In these two papers, Bayesian linear discrimination analysis is employed to process the data extracted by WT for fault classification.…”

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confidence: 99%

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Morphology Singular Entropy-Based Phase Selector Using Short Data Window for Transmission Lines

Zhang

et al. 2014

IEEE Trans. Power Delivery

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This paper presents a new technique called morphology singular entropy (MSE), based on which a phase selector for transmission lines is developed. MSE combines mathematical morphology, singular value decomposition (SVD), and entropy theory, making it insensitive to noise and easy to extract the features of the fault-induced transients. Voltage signals are used as inputs of the proposed MSE-based phase selector. Each signal is processed by a multiscale morphological filter first, and a matrix consisting of the outputs of the filter is formed. By decomposing the matrix using SVD, the singular values are obtained, and then the entropy in association with this signal can be calculated. Afterwards, in order to improve the sensitivity and reliability of the phase selection, four classification indices derived from the entropies are defined. The phase selection is performed by comparing these four indices to a preset threshold. Simulation data generated using PSCAD/EMTDC and real-life data have been employed to verify the performance of the proposed method.

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Section: B Classification Indexmentioning

confidence: 99%

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confidence: 99%

Morphology Singular Entropy-Based Phase Selector Using Short Data Window for Transmission Lines

Zhang

et al. 2014

IEEE Trans. Power Delivery

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“…Furthermore, time domain methods to extract the travelling wave from the post-fault voltage and current are prone to noise. The wavelet transform was applied to extract travelling waves [16,[19][20][21][22][23] to effectively overcome difficulties mentioned above. As the wavelet transform can provide excellent localization both in the frequency domain and in the time domain, it is found to be a useful signal processing tool to extract travelling waves.…”

Section: Introductionmentioning

confidence: 99%

A Novel Traveling-Wave Directional Relay Based on Apparent Surge Impedance

Liu

2015

IEEE Trans. Power Delivery

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A novel directional relay, which is based on apparent surge impedance acquired from initial travelling waves, is proposed in this paper. The phasor of initial voltage and current travelling waves extracted by the S-transform are employed to calculate the apparent surge impedance. The criteria to determine the fault direction consist of two mho circles. One is the forward mho circle which is set according to the back-side busbar surge impedance. The other one is the reverse mho circle which is set according to the forward line surge impedance. The fault direction is determined as per the relationship between the apparent surge impedance and the mho circles. The proposed algorithm was verified using the PSCAD/EMTEDC software. The simulation results allow us to draw a conclusion that the proposed algorithm has the ability of fast and reliably discriminating between the forward faults and the reverse faults under various conditions. Index Terms--Apparent surge impedance, directional relay, S-transform, transmission line, travelling wave.

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“…differential, or pilot protection) involving total protection coverage of the transmission lines with the provision of high cost communication channels installations linking end sources, and the non-unit protection systems ( e.g. distance relay) with partial line coverage protection schemes of HVTL [12]- [14]. This necessitate the need for a high-speed, low cost, and reliable unit protection scheme for the entire integrated WFG-HVTL protection scheme.…”

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confidence: 99%

Hybrid Signal Processing and Machine Learning Algorithm for Adaptive Fault Classification of Wind Farm Integrated Transmission Line Protection

Emmanue

Othman

Hizam

et al. 2019

IJIE

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High-speed non-unit transmission line protection using single-phase measurements and an adaptive wavelet: zone detection and fault classification

Cited by 33 publications

References 11 publications

Morphology Singular Entropy-Based Phase Selector Using Short Data Window for Transmission Lines

Morphology Singular Entropy-Based Phase Selector Using Short Data Window for Transmission Lines

A Novel Traveling-Wave Directional Relay Based on Apparent Surge Impedance

Hybrid Signal Processing and Machine Learning Algorithm for Adaptive Fault Classification of Wind Farm Integrated Transmission Line Protection

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