Adaptive Distance Protection of Double-Circuit Lines using Artificial Neural Networks

Jongepier, A.G.; Sluis, Luc van der

doi:10.1109/mper.1997.560668

Cited by 11 publications

(19 citation statements)

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“…A single line to ground fault location method employing wavelet fuzzy neural network in the distribution lines of an industrial system is proposed in [12], other types of fault have not been considered. An adaptive distance protection of double circuit line using zero sequence Thevenin equivalent impedance and compensation factor for mutual coupling is presented in [13]. The work presented in [14] deals with combined Wavelet and ANN approach for fault location in double circuit transmission lines.…”

Section: Imentioning

confidence: 99%

ANN Based Fault Location of Double Circuit Transmission Line Using Only One Terminal Data

Verma¹

2017

IJRASET

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An accurate fault location algorithm based on application of artificial neural networks (ANN) for protection of double circuit transmission lines is presented in this research paper. The proposed method uses the magnitude and phase angle of current available at only the local end of line. This method is adaptive to the variation of fault resistance, fault inception angle and fault location. The Simulation results show that all types of phase-to-phase and phase-to-ground faults can be correctly located under varying system conditions. Large numbers of fault simulations using MATLAB/Simulink software has proved the accuracy and effectiveness of the proposed algorithm. Keywords: Fault location (FL); Double circuit transmission line; artificial neural networks (ANN). I.INTRODUCTION Double circuit transmission lines increase the power transmission capability and reliability of the power system hence it is most widely used. However, the fault location of double circuit lines becomes more difficult and complex than a single circuit line due to the effect of mutual coupling among the circuits. When the fault location algorithm used for single lines is directly used for double circuit lines, which is often the case in practice, the fault location estimation accuracy can't be guaranteed because of the mutual coupling effect. Therefore a dedicated fault location algorithm has to be developed for the double circuit transmission lines. Various fault location algorithms on double circuit transmission lines have been proposed [1][2][3][4][5][6][7][8]. A distributed parameter modelbased fault location algorithm was proposed in [1] and it uses two-terminal voltages and currents and does not require the source impedance and fault resistance. Another researcher proposed a novel time-domain fault location algorithm that uses a differential component net by using two terminal currents [2]. Although two-terminal algorithms may present a better performance but singleterminal algorithms have advantages from the commercial viewpoint. This is mainly due to the additional complexity associated with two ends algorithms including communication and synchronization between both ends as well as the cost increases. Therefore, more researches focused on the application of the single end method so far. A practical fault location approach depending on modal transformation is using single end data of the double circuit transmission lines was proposed in [3]. A least error squares method for locating fault on coupled double-circuit HV transmission line are using one terminal data [4]. An accurate fault location algorithm on two-parallel transmission lines for both single phase-to-ground fault [5] and non-earth fault using one terminal data [6] were proposed by researchers. A new approach based on artificial neural networks using the fundamental components of the fault and pre-fault voltage and current magnitudes of the reference end also has been presented in [7]. More accurate fault location algorithm for double-circuit transmission syste...

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Section: Imentioning

confidence: 99%

ANN Based Fault Location of Double Circuit Transmission Line Using Only One Terminal Data

Verma¹

2017

IJRASET

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“…The distance to fault calculation error (g i ) is defined as the ratio of calculated impedance by relay i and the desired one [4]. Considering the dependencies of g to the influencing quantities, they can be summarized in the following general expression g i ¼ f i ð g i;1 ðI 012;R ; Z F ; I012;RemoteÀEndÞ; g i;2 ðI 012;R ; I012;InÀfeedsÞ; g i;3 ðI 0;R ; I0;j; Z0m;ijÞÞ…”

Section: Adaptive Distance Relaying Based On Gnsmentioning

confidence: 99%

“…adaptive distance protection, one can adapt the tripping impedances of relays which bound the protected zone, with the prevailing conditions of power system [4]. In this paper, using the GNS distributed and subsystem will receive necessary information to update his pre-fault voltage profile and modify respective arguments of its Z jj,012 matrices.…”

Section: Adaptive Distance Relaying Based On Gnsmentioning

confidence: 99%

An adaptive distance relaying strategy based on global network simulation

Sadr

Kouhsari

2009

Int Trans Elec Energy Syst

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SUMMARYIn this paper, a new method based on Global Network Simulation (GNS) approach for adaptive distance relaying is presented. The GNS approach uses Diakoptics and Large Change Sensitivity (LCS) concepts to perform the interconnected power systems analysis globally. The proposed method employs the decentralized nature of GNS short circuit analysis for calculation of relay settings of each sub-network independently in the federal environment. Updating the relay settings of each utility in every power system conditions adaptively as well as meeting individual utilities' adopted coordination philosophies are great achievements of presented approach. No computational errors encountered in the proposed method since the applied concepts eliminates the usual needs for equivalent network or reduced models. The proposed approach is well fitted for nowadays restructured power industry requirements. The performance of the presented approach is examined using the IEEE 14 bus as a small tangible test system and a real version of huge interconnected network for practical purposes. The results compared with conventional approach.

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“…D. V. Coury et al developed a complete protection scheme for a single circuit transmission line [5]. A.G. Jongepier et al [6] present an adaptive distance protection of double circuit line using zero sequence thevenin equivalent impedance and compensation factor for mutual coupling to increase the reach & selectivity of relay [6], however it requires communication link to retrieve remote-end data. L. S. Martins et al [7] used the Clarke-Concordia transformation, Eigen value approach and NN to locate the fault distance of double circuit line [7], but it does not classify the faults.…”

Section: Introductionmentioning

confidence: 99%

Classification of Single Line to Ground Faults on Double Circuit Transmission Line using ANN

Jain¹,

Thoke²,

Patel³

2009

IJCEE

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Abstract-This paper discusses the potential application of ANN techniques for detection of single line to ground faults and fault type classification on double circuit transmission lines with remote end infeed. Distance protection of double circuit transmission lines has been a very challenging task. The problems arise principally as a result of the mutual coupling between the two circuits under different fault conditions. An accurate algorithm for fault detection and classification of single line-to-ground faults (A1N, A2N, B1N, B2N, C1N & C2N

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Adaptive Distance Protection of Double-Circuit Lines using Artificial Neural Networks

Cited by 11 publications

References 0 publications

ANN Based Fault Location of Double Circuit Transmission Line Using Only One Terminal Data

ANN Based Fault Location of Double Circuit Transmission Line Using Only One Terminal Data

An adaptive distance relaying strategy based on global network simulation

Classification of Single Line to Ground Faults on Double Circuit Transmission Line using ANN

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