New Algorithm to Phase Selection Based on Wavelet Transforms

Youssef,

doi:10.1109/mper.2002.4312305

Cited by 9 publications

(10 citation statements)

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“…There are also some methods use a very short data window, for example, the wavelet transform-based method presented in [10] adopts a data window of 1/5 cycle. The calculation of the method is simple and it can achieve a high accuracy and a fast response speed.…”

Section: Comparison With Other Methodsmentioning

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: Comparison With Other Methodsmentioning

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].…”

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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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“…A variety of fault detection methods for power transmission lines protection have been proposed in recent years [1][2][3][4][5][6][7][8][9]. Some of these methods are based on power frequency components [1][2][3][4] and some others are based on high-frequency components [5][6][7][8][9]. In general, transmission line fault detection includes three aspects: (i) sensing the fault by extracting the transients' features from the original fault signal, (ii) classifying the fault and (iii) locating the fault.…”

Section: Introductionmentioning

confidence: 99%

Fault classification and faulted phase selection for transmission line using morphological edge detection filter

Salehi

Namdari

2018

IET Generation, Transmission & Distribution

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In this paper, a novel algorithm for detecting and classifying faults in transmission lines is proposed. The algorithm is based on mathematical morphology (MM) and initial current traveling waves. A new mathematical edge detection (MED) filter to extract the transient features from the original fault signal is designed. This MED filter can fast and accurately detect the arrival time and polarity of traveling waves in all conditions. The appropriate criteria of fault classification and faulted-phase selection are introduced based on polarity of initial current traveling waves. The simulations based on the electromagnetic transients program (EMTP) and MATLAB have been done to evaluate the validity of the proposed algorithm.

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“…Many advanced mathematical tools are applied in FPS schemes to obtain better performance. With the good time–frequency localisation, wavelet transform (WT) has been widely used in fault classification [1, 2, 4, 5]. A novel neural network‐based technique for phase selection is presented in [3].…”

Section: Introductionmentioning

confidence: 99%

Fast phase selection method based on transient current for UHV transmission lines

Luo

Gao

et al. 2018

J. eng.

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New Algorithm to Phase Selection Based on Wavelet Transforms

Cited by 9 publications

References 0 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

Fault classification and faulted phase selection for transmission line using morphological edge detection filter

Fast phase selection method based on transient current for UHV transmission lines

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