Critical aspects on wavelet transforms based fault identification procedures in HV transmission line

Adly, Ahmed R.; El‐Sehiemy, Ragab A.; Abdelaziz, Almoataz Y.; Ayad, Nabil

doi:10.1049/iet-gtd.2015.0899

Cited by 55 publications

(37 citation statements)

References 54 publications

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“…Wavelet is small waveforms existing for a short time duration with an average value of zero and mostly adopted in advanced signal processing of transient signal analysis. This resolves analysis signal of fault transient signals into translated and scaled components of the applied mother wavelet function, as applied in previous transient signal analysis studies [28], [29]. The time-frequency localization benefits for little signal disturbances on HVTL, along with the unique ability to extract analyzed signal signatures for various frequencies bands and retaining the time function information are one of WT's unique benefits in fault transient studies.…”

Section: Wavelet Transform (Wt)mentioning

confidence: 97%

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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Section: Wavelet Transform (Wt)mentioning

confidence: 97%

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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“…In [6] Ahmad Abdullah proposed wavelet entropy based lightning fault detection on transmission lines. Ahmed R. Adly et al in [7] proposed a fault identification algorithm for fault discrimination, classification and faulty phase selection of a high voltage transmission line. Ozkan Altay et al [8] developed and proposed a scheme that uses single end travelling wave fault location on transmission line by the usage of wavelet analysis without using the velocity of propagation.…”

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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“…Detection and isolation faults are urgent challenges for effective protection of transmission line in power system. Mal-operation of protective relays that are detects, locates and eliminates the faults, will have effects on the power system grid [1]. Despite the economic benefits of using three-terminal transmission lines, they are of more complexity when it comes to protection or fault detection.…”

Section: Introductionmentioning

confidence: 99%

Fault Detection for Multi-terminal Transmission Line with Nuclear Power Plant Based on Wavelet Transform Ahmed R. Adly(1),*, Alaa M. Abdel-hamed (2), Said A. Kotb (1), Magdy M. Zak (1) 1) ETRR-2, Nuclear Research Center, Atomic Energy Authority, Egypt 2) High Institute of Engineering, EL Shorouk Academy, Egypt

Zaky

Kotb²,

Adly³

2019

Arab Journal of Nuclear Sciences and Applications

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This paper proposes an improved scheme of fault detection and classification for multi -terminal transmission lines using discrete wavelet transform (DWT). The proposed scheme can correctly detect and classify the faults. The proposed scheme is dependent on line current data only. This scheme is derived in the spectral domain and is based on the application of the DWT. The scheme uses an adaptive threshold level to detect and classify the faults. The ATP/EMTP program is used to evaluate the presented approach. Additionally, the nuclear power plants are planned to be integrated with the Egypt electric network in 2026, hence, the presented approach takes into consideration the installation of El Dabaa power station. The presented approach achieves accurate results under numerous and enhanced the fault detection and classification methodologies.

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Critical aspects on wavelet transforms based fault identification procedures in HV transmission line

Cited by 55 publications

References 54 publications

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

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

Wavelet Transform Based Relaying Scheme for Double Circuit Transmission Line Protection

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