Transmission lines distance protection using artificial neural networks

Santos, Ricardo Caneloi dos; Senger, Eduardo Cesar

doi:10.1016/j.ijepes.2010.12.029

Cited by 58 publications

(25 citation statements)

References 7 publications

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“…Nine network training functions were tested [13]: BFGS quasiNewton, Bayesian regularization, gradient descent, gradient descent with adaptive learning rate, gradient descent with momentum, gradient descent with momentum and adaptive learning rate, one step secant, scaled conjugate gradient and LevenbergMarquardt.…”

Section: Trainingmentioning

confidence: 99%

Improving measurement protocol efficiency through the use of ANN-based systems for overhead transmission lines

Muñoz

Aguado

Martín

et al. 2012

International Journal of Electrical Power & Energy Systems

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Section: Trainingmentioning

confidence: 99%

Improving measurement protocol efficiency through the use of ANN-based systems for overhead transmission lines

Muñoz

Aguado

Martín

et al. 2012

International Journal of Electrical Power & Energy Systems

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“…However these techniques did not identify the fault type, fault direction and the faulty section. In some of the ANN based directional relaying techniques the fault types and the fault phases haven't been classified [37][38][39].…”

Section: Introductionmentioning

confidence: 99%

ANN based directional relaying scheme for protection of Korba-Bhilai transmission line of Chhattisgarh state

Yadav

Dash

Ashok

2016

Prot Control Mod Power Syst

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As it is crucial to protect the transmission line from inevitable faults consequences, intelligent scheme must be employed for immediate fault detection and classification. The application of Artificial Neural Network (ANN) to detect the fault, identify it's section, and classify the fault on transmission lines with improved zone reach setting is presented in this article. The fundamental voltage and current magnitudes obtained through Discrete Fourier Transform (DFT) are specified as the inputs to the ANN. The relay is placed at section-2 which is the prime section to be protected. The ANN was trained and tested using diverse fault datasets; obtained from the simulation of different fault scenarios like different types of fault at varying fault inception angles, fault locations and fault resistances in a 400 kV, 216 km power transmission network of CSEB between Korba-Bhilai of Chhattisgarh state using MATLAB. The simulation outcomes illustrated that the entire shunt faults including forward and reverse fault, it's section and phase can be accurately identified within a half cycle time. The advantage of this scheme is to provide a major protection up to 99.5% of total line length using single end data and furthermore backup protection to the forward and reverse line sections. This routine protection system is properly discriminatory, rapid, robust, enormously reliable and incredibly responsive to isolate targeted fault.

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“…In order to provide the protection of each phase of transmission lines against SLG short circuits, full-scheme (non-switched) conventional digital distance relays comprise three impedance measuring elements, each assigned to one phase and is known as ground element [2,3]. It is well-documented in the literature [4][5][6][7] that non-zero fault resistances give rise to a discrepancy between the impedance seen by the ground elements and its expected value, namely the positive-sequence series impedance of the line from the relaying to the fault point.…”

Section: Introductionmentioning

confidence: 99%

A new ground impedance measuring element for digital distance relaying of long parallel lines in high fault resistance conditions

Abdollahzadeh

Mozafari

Jazaeri

2015

Int. Trans. Electr. Energ. Syst.

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SUMMARYGround impedance measuring elements (ground elements), which are responsible for removing singlephase-to-ground faults in distance relays, are highly prone to underreach when facing a significant resistance in the fault path. This paper proposes a new ground element with ensured dependability in high fault resistance conditions for the first-zone digital distance relaying of parallel lines. The proposed ground element functions on the basis of the fault distance and fault resistance it estimates, online during the faults, through the equation derived from the voltages and currents of the distributed-parameters line model. Hence, it will be particularly applicable to the parallel lines of long length in which the distributed parameters effect is significant. The proposed element requires only the data acquired at the relaying location. Further, its function is independent of the structural configuration of the system. Unlike conventional ground elements, the proposed element preserves its security in case of irrelevant-circuit as well as external faults. Simulation studies conducted in MATLAB and PSCAD/EMTDC examine the proposed ground element in a variety of influencing situations, and the results reveal that it accurately trips the faults in the first zone with no incidence of underreach in case of high resistance faults. The accuracy of the proposed element is over 99.4% and its tripping time within 0.3-1.3 cycles.

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Transmission lines distance protection using artificial neural networks

Cited by 58 publications

References 7 publications

Improving measurement protocol efficiency through the use of ANN-based systems for overhead transmission lines

Improving measurement protocol efficiency through the use of ANN-based systems for overhead transmission lines

ANN based directional relaying scheme for protection of Korba-Bhilai transmission line of Chhattisgarh state

A new ground impedance measuring element for digital distance relaying of long parallel lines in high fault resistance conditions

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