Combined Wavelet-SVM Technique for Fault Zone Detection in a Series Compensated Transmission Line

Parikh, Urmil; Das, Biswarup; Maheshwari, R. P.

doi:10.1109/tpwrd.2008.919395

Cited by 163 publications

(83 citation statements)

References 11 publications

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“…The most commonly used kernel functions in power system applications are Linear, Polynomial and Gaussian radial basis functions (RBF) [22,23,[26][27][28][29][30][31][32][33], they can be defined as:…”

Section: Classifications With Svmmentioning

confidence: 99%

A novel protection scheme for synchronous generator stator windings based on SVM

El‐Saadawi

Hatata

2017

Prot Control Mod Power Syst

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This paper proposes a novel scheme for detecting and classifying faults in stator windings of a synchronous generator (SG). The proposed scheme employs a new method for fault detection and classification based on Support Vector Machine (SVM). Two SVM classifiers are proposed. SVM1 is used to identify the fault occurrence in the system and SVM2 is used to determine whether the fault, if any, is internal or external. In this method, the detection and classification of faults are not affected by the fault type and location, pre-fault power, fault resistance or fault inception time. The proposed method increases the ability of detecting the ground faults near the neutral terminal of the stator windings for generators with high impedance grounding neutral point. The proposed scheme is compared with ANN-based method and gives faster response and better reliability for fault classification.

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Section: Classifications With Svmmentioning

confidence: 99%

A novel protection scheme for synchronous generator stator windings based on SVM

El‐Saadawi

Hatata

2017

Prot Control Mod Power Syst

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“…Later, many wavelet kernel functions including Gaussian wavelet kernel function [46], [47] were proposed. The Gaussian wavelet function is defined as follows:…”

Section: Wavelet Kernel Functionsmentioning

confidence: 99%

Wavelet Support Vector Machine Algorithm in Power Analysis Attacks

Hou¹,

Zhou²,

Liu³

et al. 2017

RADIOENGINEERING

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“…Recently, SVMs have been used as effective tools for fault classification in power systems [3,8,18,29,32]. This approach constructs the separating hyperplane for pattern recognition.…”

Section: Fault Classification and Faulty Section Identification By Svmsmentioning

confidence: 99%

A combined protective scheme for fault classification and identification of faulty section in series compensated transmission lines

Çöteli¹

2013

Turk J Elec Eng & Comp Sci

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Abstract:The fault detection process is very difficult in transmission lines with a fixed series capacitor because of the nonlinear behavior of protection device and series-parallel resonance. This paper proposes a new method based on S-transform (ST) and support vector machines (SVMs) for fault classification and identification of a faulty section in a transmission line with a fixed series capacitor placed at the middle of the line. In the proposed method, the fault detection process is carried out by using distinctive features of 3-line signals (line voltages and currents) and zero sequence current. The relevant features of these signals are obtained by using the ST. The obtained features are then used as input to multiple SVM classifiers and their outputs are combined for classifying the fault type and identifying the faulty section. Training and testing samples for the proposed method have been generated with different types of short-circuit faults and different combinations of system parameters in the MATLAB environment. The performance of the proposed method is investigated according to the accuracy of fault classification and faulty section identification. To evaluate the validity of this study, the proposed method is also compared to both ST-neural network and previous studies. The proposed method not only provides a good classification performance for all types of faults, but also detects the faulty section at a high accuracy.

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Combined Wavelet-SVM Technique for Fault Zone Detection in a Series Compensated Transmission Line

Cited by 163 publications

References 11 publications

A novel protection scheme for synchronous generator stator windings based on SVM

A novel protection scheme for synchronous generator stator windings based on SVM

Wavelet Support Vector Machine Algorithm in Power Analysis Attacks

A combined protective scheme for fault classification and identification of faulty section in series compensated transmission lines

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