Accurate one-end fault location for overhead transmission lines in interconnected power systems

Eisa, A.A.A.; Ramar, K.

doi:10.1016/j.ijepes.2009.11.005

Cited by 35 publications

(5 citation statements)

References 16 publications

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“…The vectors

V_{P}

and

I_{P}

denote measured or calculated three‐phase voltage phasors of bus P and three‐phase current phasors of the line at bus P , respectively,

\begin{matrix} right leftthickmathspace.5em \\ {bold-italicV}_{P}^{normalT} & = [\begin{matrix} V_{P a} & V_{P b} & V_{P c} \end{matrix}] \\ {bold-italicI}_{P}^{normalT} & = [\begin{matrix} I_{P a} & I_{P b} & I_{P c} \end{matrix}] \end{matrix}

The PQ line with the length l is modelled by the generalised circuit constants ABCD [19],

\begin{matrix} right leftthickmathspace.5em \\ A (l) & = \cosh (γ l) C (l) = Z_{normalc}^{- 1} \sinh (γ l) \\ B (l) & = Z_{normalc} \sinh (γ l) D (l) = \cosh (γ l) \end{matrix}

where

Z_{C}

and

γ

are the line characteristic impedance and propagation constant, respectively.…”

Section: Fault Location Algorithm Based On the Single‐end Line Datamentioning

confidence: 99%

“…In [16–18], fault location algorithms for two circuit lines have been presented, which utilise both faulted and sound lines data. In [19], by using the network impedance matrix, the impedance of the equivalent sources of two line ends is estimated. In [20], a fault location method is presented, which utilises one‐terminal data and differential equations of the faulted line.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determining minimum number and optimal placement of PMUs for fault observability in one‐terminal algorithms

Golshan

Dolatabadi

Tabatabaei

2018

IET Generation, Transmission & Distribution

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“…The vectors

V_{P}

and

I_{P}

denote measured or calculated three‐phase voltage phasors of bus P and three‐phase current phasors of the line at bus P , respectively,

\begin{matrix} right leftthickmathspace.5em \\ {bold-italicV}_{P}^{normalT} & = [\begin{matrix} V_{P a} & V_{P b} & V_{P c} \end{matrix}] \\ {bold-italicI}_{P}^{normalT} & = [\begin{matrix} I_{P a} & I_{P b} & I_{P c} \end{matrix}] \end{matrix}

The PQ line with the length l is modelled by the generalised circuit constants ABCD [19],

\begin{matrix} right leftthickmathspace.5em \\ A (l) & = \cosh (γ l) C (l) = Z_{normalc}^{- 1} \sinh (γ l) \\ B (l) & = Z_{normalc} \sinh (γ l) D (l) = \cosh (γ l) \end{matrix}

where

Z_{C}

and

γ

are the line characteristic impedance and propagation constant, respectively.…”

Section: Fault Location Algorithm Based On the Single‐end Line Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determining minimum number and optimal placement of PMUs for fault observability in one‐terminal algorithms

Golshan

Dolatabadi

Tabatabaei

2018

IET Generation, Transmission & Distribution

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“…Therefore it is important to detect the fault and isolate the faulty system as quickly as possible so that the fault is confined to a small area and damage is reduced. The literature regarding the approaches for fault diagnosis of power system is categorised in three groups: † Conventional relay based methods † Neural network based methods † Model based fault detection methods Conventional relay based methods use the variations in system voltages, currents, power and frequency to detect fault occurrence [1,2]. Impedance relay, overload relay, phase failure relay, earth leakage relay are some important relays used for the fault detection in power system.…”

Section: Introductionmentioning

confidence: 99%

Fault modelling and detection in power generation, transmission and distribution systems

Ali

Khan

Hussain

et al. 2015

IET Generation, Transmission & Distribution

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“…Distance relaying of transmission lines [1][2][3][4][5][6][7] involves the fast and accurate detection, classification, and location of faults to improve the stability and reliability of power system operation. This aspect has gained momentum in recent years due to restructuring deregulation of power systems worldwide.…”

Section: Introductionmentioning

confidence: 99%

Distance protection using a time-frequency filtering technique

Dash

Swain

2014

Int. Trans. Electr. Energ. Syst.

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Summary The paper presents a new time–frequency formulation similar to the conventional discrete S‐transform but with a significantly increased speed of computation suitable for digital protection of power transmission lines. The new formulation uses frequency scaling, band pass filtering, and interpolation techniques to achieve fast and accurate estimation of fault location in an interconnected power system network. The new transform uses half cycle of the data prior to the initiation of the fault and half cycle data after the fault to yield impedance measurement at the relay location with significant accuracy even in the presence of decaying DC components, harmonics, and distortions due to noise. Several fault case studies have been performed to validate the performance of this new algorithm for different fault resistances and fault location along the protected line. For comparison, a recently proposed robust Gauss–Newton algorithm is used to produce impedance trajectories for the case studies attempted in this paper instead of the widely used discrete Fourier transform, which gives erroneous results in the presence of decaying DC and harmonic components. Copyright © 2014 John Wiley & Sons, Ltd.

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Accurate one-end fault location for overhead transmission lines in interconnected power systems

Cited by 35 publications

References 16 publications

Determining minimum number and optimal placement of PMUs for fault observability in one‐terminal algorithms

Determining minimum number and optimal placement of PMUs for fault observability in one‐terminal algorithms

Fault modelling and detection in power generation, transmission and distribution systems

Distance protection using a time-frequency filtering technique

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