Transmission line adaptive protection scheme: A new fault detection approach based on pilot superimposed impedance

Khoshbouy, Morteza; Yazdaninejadi, Amin; Bolandi, Tohid Ghanizadeh

doi:10.1016/j.ijepes.2021.107826

Cited by 22 publications

(6 citation statements)

References 33 publications

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“…e algorithm is effective to detect fault events in a half cycle. Further, various techniques are recently reported in the literature using pilot superimposed impedance [10], artificial neural network [11], deep learning [12], and wide area measurement [13].…”

Section: Related Research Workmentioning

confidence: 99%

Design and Implementation of Hybrid Transmission Line Protection Scheme Using Signal Processing Techniques

Kumar

Sharma

Mahia

et al. 2022

International Transactions on Electrical Energy Systems

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A hybrid scheme for transmission line protection (HSTLP) using the Stockwell transform (ST), Wigner distribution function (WDF), and alienation coefficient (ACF) is designed. Current signals are analyzed using the ST, WDF, and ACF to compute the Stockwell fault index (SFI), Wigner fault index (WFI), and alienation coefficient fault index (ACFI), respectively. These fault indexes are used to derive a hybrid signal processing fault index (HSPFI), which is implemented for the detection of transmission line fault events. The peak magnitude of HSPFI is compared with a preset threshold magnitude (TH) to identify the fault. The statistical formulation is proposed for fault location on the power transmission line. Fault classification is achieved using the number of faulty phases. A hybrid ground fault index (HGFI) is used to recognize the involvement of the ground during the fault event. This HGFI is determined by processing zero sequence current using ST and WDF. The performance of algorithm is tested by various case studies for fault impedance variation, variable sampling frequency, fault incidence angle variation, reverse power flow on transmission line, highly loaded line, different fault locations online, and noisy conditions. The algorithm is also validated to detect a fault on a practical transmission line of large area utility grid of Rajasthan Rajya Vidyut Prasaran Nigam Limited (RVPN) in India. The algorithm performs better than the Hilbert–Huang transform (HHT)-based protection scheme and wavelet transform (WT)-based protection scheme available in the literature in terms of mean error of fault location, fault location accuracy, and noise level. The proposed protection scheme efficiently detected, classified, and located the faulty events such as single-phase-to-ground fault (SPGF), two-phase fault (TPF), two-phase-to-ground fault (TPGF), three-line fault (TLF), and three-line-to-ground fault (TLGF). Transmission line fault location accuracy of 99.031% is achieved. The algorithm performs well even with a high noise level of 10 dB SNR.

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Section: Related Research Workmentioning

confidence: 99%

Design and Implementation of Hybrid Transmission Line Protection Scheme Using Signal Processing Techniques

Kumar

Sharma

Mahia

et al. 2022

International Transactions on Electrical Energy Systems

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“…Figure 8 shows the response of the phaselet transform against FCDFT for estimating the fundamental frequency of a signal in a full cycle. Distance [2] Differential [3] Waveletbased [6] Artificial intelligence [5] Travelling wavebased [7] Distance [14] Method proposed in [18] Method proposed in [20] Proposed method 5 Summation of squared three-phase currents 6 Discrete Fourier transform 7 Discrete wavelet transform 8 Artificial neural network 9 Adaptive network-based fuzzy interface system 10 Travelling wave…”

Section: Phaselet Transformmentioning

confidence: 99%

“…In [18], a new protection scheme is presented which is based on pilot superimposed impedance (PSI). In this method, PSI is defined as the ratio of the obtained superimposed voltage phasor from the local end to the sum of obtained superimposed current phasors from both ends of the transmission line.…”

Section: Introductionmentioning

confidence: 99%

A novel superimposed component‐based protection method for multi‐terminal transmission lines using phaselet transform

Ansari

Ghaffarzadeh

2022

IET Generation Trans & Dist

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This paper presents a novel protection method for transmission lines that estimates the superimposed component phasor using phaselet transform. The phaselet transform computes the phasors over variable‐lenfgth data window at the instant of a fault, so it can estimate the phasor less than one full cycle. The presented method phaselets are used to extract the superimposed component instead of the samples and the initial phase angle difference (IPAD) of the superimposed currents between terminals is used to detect internal and external faults. The main contribution of this method is an accurate, fast and robust superimposed component‐based algorithm that uses the phaselet transform to estimate the phasor of the superimposed component for distinguishing internal faults from external faults; this method is also reliable against transients such as current transformer (CT) saturation and capacitor bank switching. To evaluate the performance of the proposed method, a three‐terminal transmission line is modelled in the alternative transients program/electromagnetic transients program (ATP/EMTP) software and several cases including fault and transients are simulated; finally, the data has been analyzed in MATLAB software. The simulation results show that the proposed method is able to quickly and accurately distinguish internal faults from external faults and is not affected by transients.

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“…Further progress in this field in included the usage of time domain analysis to detect faults [22]. Superimposed impedance was based on the first path scenario was used in [23]. Negative sequence of zero current during faults was used in [24].…”

Section: Introductionmentioning

confidence: 99%

Smart Fault Detection Algorithm for Transmission Networks

Wadie

2024

ERU Research Journal

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In this paper, a new smart fault detection algorithm was proposed that was employed in the protection system of electrical power transmission systems. The proposed algorithm uses phasor measurement units (PMUs) located at the terminals of the transmission lines. The measurements from the PMUs are used to compute the rate of change of delta reactive power or RPCQ for each line. The value of RPCQ is used to detect the occurrence of faults and define the faulty line. The algorithm was tested using a bench mark testing system WSCC 9-bus system. The testing included different types faults including single line to ground, line to line, double line to ground and three phase faults at different locations. The results showed the robustness and reliability of the proposed algorithm in fault detection. The fault location was changed to be in different positions of the line, and the proposed scheme still succeeded in detecting the faulty line correctly. The main contributions of this paper is the proposal of the smart fault detection algorithm that succeeds in providing high confidence results while using simple procedures.

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Transmission line adaptive protection scheme: A new fault detection approach based on pilot superimposed impedance

Cited by 22 publications

References 33 publications

Design and Implementation of Hybrid Transmission Line Protection Scheme Using Signal Processing Techniques

Design and Implementation of Hybrid Transmission Line Protection Scheme Using Signal Processing Techniques

A novel superimposed component‐based protection method for multi‐terminal transmission lines using phaselet transform

Smart Fault Detection Algorithm for Transmission Networks

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