Fault detection and classification in transmission lines based on a PSD index

Guillén, Daniel; Paternina, Mario R. Arrieta; Ortiz-Bejar, José; Tripathy, Rajesh Kumar; Zamora-Méndez, Alejandro; Tapia‐Olvera, Ruben; Téllez, Eric Sadit

doi:10.1049/iet-gtd.2018.5062

Cited by 31 publications

(17 citation statements)

References 28 publications

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“…Whenever a fault occurs, high-frequency components are Table 3 Transmission superimposed on fundamental frequency components generating additional information about the type of fault. The transient energy in the current signals produced due to faults can be extracted in the form of maximum wavelet singular values (MWSV) [36] and power spectral density (PSD) [37]. The greatest energy components in a signal are contained by the MWSV of the wavelet matrix (WM) defined as follows:…”

Section: Faulty Phase Identificationmentioning

confidence: 99%

Initial travelling wavefront‐based bus zone protection scheme

Jena

Bhalja

2019

IET Generation, Transmission & Distribution

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Section: Faulty Phase Identificationmentioning

confidence: 99%

Initial travelling wavefront‐based bus zone protection scheme

Jena

Bhalja

2019

IET Generation, Transmission & Distribution

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“…The authors attempted to determine the linguistic representation of power system signals and formed suitable attribute grammars. A study in [23] dealt with fault detection and classification in AC transmission lines based on power spectral density (PSD), utilising PSD in time and frequency for analysing transient information under faulted conditions.…”

Section: Introductionmentioning

confidence: 99%

Structured approach to downsize data administration and improve fault recognition accuracy for large power systems

Jana¹,

De²

2020

IET Generation, Transmission & Distribution

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“…It can reliably detect the fault but for simultaneous faults, it shows error and it takes 1/f time period to detect the fault. Recently, authors [23] proposed Power Spectral Density (PSD) based approach to detect and classify the faults on transmission line. The current signals are scaled using DWT in time and frequency domain at different decomposition levels.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, Guillen et al . [23] proposed the power spectral density‐based approach to detect and classify the faults on the transmission line. The current signals are scaled using DWT in time and frequency domain at different decomposition levels.…”

Section: Introductionmentioning

confidence: 99%

Detecting instant of multiple faults on the transmission line and its types using time–frequency analysis

Na¹,

Kishor²,

Uhlen

et al. 2019

IET Generation, Transmission & Distribution

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In a complex interconnected network, due to dynamic interaction between the AC networks, at the time of multiple occurrences of faults, the successful relay operation is threatened. For security and reliability of power system network, fast and accurate protection scheme is of great importance. This paper presents a protection scheme for multiple faults detection at bus/line and its type in wide area network. If a fault occurs on a line, followed by another fault at the same/different line, before the clearance of former fault, the proposed scheme is capable to detect such multiple fault events. The protection scheme applies processed signal information for its time-frequency representation using Smoothed Pseudo Wigner-Ville distribution, followed by Hilbert transform and calculation of indices to interpretate the fault events. It is shown that faulted bus, faulted line, time instant, and types of fault can be easily identified without involving any high computationally burden. The proposed scheme is validated on the signals simulated on two area Kundur's model and standard IEEE 39 bus system and verified with real-time signals on RTDS for different fault conditions; fault resistance and fault location on the line. The scheme can be successfully applied on wide area signals available from PMUs for wide area network protection.

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Fault detection and classification in transmission lines based on a PSD index

Cited by 31 publications

References 28 publications

Initial travelling wavefront‐based bus zone protection scheme

Initial travelling wavefront‐based bus zone protection scheme

Structured approach to downsize data administration and improve fault recognition accuracy for large power systems

Detecting instant of multiple faults on the transmission line and its types using time–frequency analysis

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