A smart relaying scheme for high impedance faults in distribution and utilization networks

Sharaf, A.Μ.; Abu-Azab, S.I.

doi:10.1109/ccece.2000.849563

Cited by 24 publications

(16 citation statements)

References 7 publications

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“…The methods based on modifying the existing protection devices failed in most cases and led to unexpected supply interruptions [7]. Later, methods based on analyzing fault signals in the time domain were proposed such as proportional relay algorithm [8] and ratio ground relay [9].…”

Section: Hif Detectionmentioning

confidence: 99%

Detection of High Impedance Faults using wavelet transform

Chen

Phung

et al. 2014

2014 Australasian Universities Power Engineering Conference (AUPEC)

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High Impedance Fault (HIF) has long been a challenging problem in network protection. This is because of its difficulty to be detected and discriminated accurately and reliably. In real cases, arcing is usually associated with HIFs. In this paper, arcing currents are produced by setting up a HV experiment. Normal switching transients are also produced by simulation or experiment. They are then analysed based on wavelet transform. It was found by previous researches that db4 is sensitive in detecting high frequency transient. Different features for the fault currents are found and a detection criterion is developed. The simple detection criterion is used to discriminate the high impedance fault from switching transients and normal load current.Index Terms-High impedance fault, wavelet transform, arcing, capacitor switching, magnetizing inrush.I.

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Section: Hif Detectionmentioning

confidence: 99%

Detection of High Impedance Faults using wavelet transform

Chen

Phung

et al. 2014

2014 Australasian Universities Power Engineering Conference (AUPEC)

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“…Thus, there exists a matrix similar to which is diagonal, (called ). For this purpose an matrix is constructed such that diag (5) where is the th eigenvalue of , and th row of is the corresponding normalized eigenvector. is a transformation matrix that converts the original features into new space with uncorrelated features.…”

Section: B Preprocessing and Feature Extraction/selectionmentioning

confidence: 99%

“…In time domain, ratio ground relay, proportional relay algorithm [3], [4], and a smart relay based on time domain feature extraction [5], have been proposed. Also arc detection method has been proposed [6].…”

Section: Introductionmentioning

confidence: 99%

High Impedance Fault Detection Based on Wavelet Transform and Statistical Pattern Recognition

Sedighi

Haghifam

Malik

et al. 2005

IEEE Trans. Power Delivery

189

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A novel method for high impedance fault (HIF) detection based on pattern recognition systems is presented in this paper. Using this method, HIFs can be discriminated from insulator leakage current (ILC) and transients such as capacitor switching, load switching (high/low voltage), ground fault, inrush current and no load line switching. Wavelet transform is used for the decomposition of signals and feature extraction, feature selection is done by principal component analysis and Bayes classifier is used for classification. HIF and ILC data was acquired from experimental tests and the data for transients was obtained by simulation using EMTP program. Results show that the proposed procedure is efficient in identifying HIFs from other events.

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“…Several techniques have been proposed using timedomain HIF detection as presented in Refs. [2][3][4][5]. In Ref.…”

Section: Introductionmentioning

confidence: 99%

High impedance fault detection and identification based on pattern recognition of phase displacement computation

Ali

Bakar

Tan

et al. 2018

IEEJ Transactions Elec Engng

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This paper proposes a new algorithm for high-impedance-fault (HIF) detection based on phase displacement computation (PDC). The PDC is calculated between the measured and reference three-phase voltage signals. There are two stages in this algorithm. In the first stage, the pattern of the PDC is analyzed to detect the occurrence of an event. In the second stage, the peak of the PDC is used as a feature to distinguish between HIF and non-HIF events. Subsequently, an automatic HIF classification algorithm based on predefined indices is proposed to perform event identification and HIF detection. Different types of HIF events and non-HIF events, such as load switching, motor starting, and capacitor switching, have been simulated in PSCAD/EMTDC. The proposed algorithm is able to classify the events accurately for both single and multiple events occurrence.

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A smart relaying scheme for high impedance faults in distribution and utilization networks

Cited by 24 publications

References 7 publications

Detection of High Impedance Faults using wavelet transform

Detection of High Impedance Faults using wavelet transform

High Impedance Fault Detection Based on Wavelet Transform and Statistical Pattern Recognition

High impedance fault detection and identification based on pattern recognition of phase displacement computation

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