Detection and classification of faults in transmission lines using the maximum wavelet singular value and Euclidean norm

Guillén, Daniel; Paternina, Mario R. Arrieta; Zamora, A.; Ramı́rez, Juan M.; Idarraga, Gina

doi:10.1049/iet-gtd.2014.1064

Cited by 73 publications

(29 citation statements)

References 30 publications

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“…Xinzhou Dong et al in [13] implemented and applied directional protection based travelling wave theory in UHV transmission line. An algorithm based on singular value and Euclidean norm for the fault detection and classification in transmission lines has been developed by Daniel Guillen et al in [14]. The algorithm has been developed by using DWT and singular value decomposition (SVD).…”

Section: Prefacementioning

confidence: 99%

Wavelet Transform Based Relaying Scheme for Double Circuit Transmission Line Protection

Soni¹,

Ali²,

Kapoor³

2017

IJERT

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-An application of wavelet transform based multi resolution analysis approach for double circuit transmission line protection from various faults is revealed in this paper, to intensify the result of various problems linked with distance security of double circuit transmission lines. The fault current signal is explored by choosing wavelet transform program of MATLAB and selecting 'db4' as mother wavelet to retrieve the fault current coefficients for fault detection in double circuit transmission line. Results of simulation work displays that the proposed relay based on wavelet transform can lift the work of orthodox protection schemes.Index Terms -Double circuit transmission lines, relaying schemes, wavelet transform, fault detection, location, and classification. I. PREFACEMulti terminal transmission lines are entirely standard owing to the growth of power transmission system both in convolution and expanse. Nevertheless, a double circuit transmission line constitutes unusual issues due to multiterminals. On this subject, Adel Aktaibi et al. in [1] proposed a hybrid technique which consists of WPT and dq-axis components for current differential protection of transmission lines. . In their work, they developed and implemented hybrid technique by localizing frequency sub-bands of dq-axis components of the differential currents using WPT for finding out the best signature of the internal faults. P.D. Raval et al. in

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Section: Prefacementioning

confidence: 99%

Wavelet Transform Based Relaying Scheme for Double Circuit Transmission Line Protection

Soni¹,

Ali²,

Kapoor³

2017

IJERT

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“…If a fault is not detected accurately and persists for a while, it may lead to massive destruction or a power outage. Consequently, it is essential to own a more enhanced and well-coordinated transmission line relaying scheme that detects and characterizes any kind of fault efficiently within the destined time for assisting fleet repair and restoration of the power supply with least disruption [2,3]. As a consequence, plenty of scholarly research has been forced to develop a robust, precise and intelligent scheme for fault detection and classification on transmission lines.…”

Section: Introductionmentioning

confidence: 99%

Combined morphology and SVM-based fault feature extraction technique for detection and classification of transmission line faults

Godse¹,

Bhat²

2020

Turk J Elec Eng & Comp Sci

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A transmission line is the main commodity of power transmission network through which power is transmitted to the utility. These lines are often swayed by accidental breakdowns owing to different random origins. Hence, researchers try to detect and track down these failures at the earliest to avoid financial prejudice. This paper offers a new realtime mathematical morphology based approach for fault feature extraction. The morphological open-close-median filter is exploited to wrest unique fault features which are then fed as an input to support vector machine to detect and classify the short circuit faults. The acquired graphical and numerical results of the extracted fault features affirm the potency of the offered scheme. The proposed scheme has been verified for different fault cases simulated on high-voltage transmission line modelled using ATP/EMTP with varying system constraints. The performance of the stated technique is also validated for fault detection and classification in real-field transmission lines. The results state that the proposed method is capable of detecting and classifying the faults with adequate precision and reduced computational complexity, in less than quarter of a cycle.

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“…First, methods that are based on signatures of the signals and definition of some criteria such as: discrete wavelet transform (DWT) [9][10][11][12][13], Fourier transform (FT), S-transform [14], adaptive Kalman filtering [15], sequential components [16,17], and synchronized voltage and current samples [18]. The second group includes the methods based on artificial intelligence techniques such as: Artificial Neural Networks (ANN) [19][20][21], fuzzy logic [22,23], Support Vector Machine (SVM) [24][25][26], and decision-tree [27].…”

Section: Introductionmentioning

confidence: 99%

k-NN based fault detection and classification methods for power transmission systems

Majd

Samet

Ghanbari

2017

Prot Control Mod Power Syst

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This paper deals with two new methods, based on k-NN algorithm, for fault detection and classification in distance protection. In these methods, by finding the distance between each sample and its fifth nearest neighbor in a predefault window, the fault occurrence time and the faulty phases are determined. The maximum value of the distances in case of detection and classification procedures is compared with pre-defined threshold values. The main advantages of these methods are: simplicity, low calculation burden, acceptable accuracy, and speed. The performance of the proposed scheme is tested on a typical system in MATLAB Simulink. Various possible fault types in different fault resistances, fault inception angles, fault locations, short circuit levels, X/R ratios, source load angles are simulated. In addition, the performance of similar six well-known classification techniques is compared with the proposed classification method using plenty of simulation data.

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Detection and classification of faults in transmission lines using the maximum wavelet singular value and Euclidean norm

Cited by 73 publications

References 30 publications

Wavelet Transform Based Relaying Scheme for Double Circuit Transmission Line Protection

Wavelet Transform Based Relaying Scheme for Double Circuit Transmission Line Protection

Combined morphology and SVM-based fault feature extraction technique for detection and classification of transmission line faults

k-NN based fault detection and classification methods for power transmission systems

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