Skin-effect considerations on transient response of a transmission line excited by an electromagnetic pulse

Mok, Evelyn; Costache, G.I.

doi:10.1109/15.155848

Cited by 40 publications

(12 citation statements)

References 5 publications

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“…Since α and β modes have the same characteristic in the symmetric case, α mode represents the aerial mode in these figures. The skin effect results in frequency‐dependent parameters. It can be seen that the ground mode resistance increases rapidly after 10 Hz.…”

Section: Fault Location Formulationmentioning

confidence: 99%

A novel method for SLG fault location in power distribution system using time lag of travelling wave components

Yin

Deng

2016

IEEJ Transactions Elec Engng

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This paper presents an approach to single line-to-ground fault location in a power distribution system based on the time lag of different modal components . It is a single-ended method applicable to unsynchronized measurements. The fault location formulation is derived by analyzing the traveling wave propagation characteristic in a distributed parameter model. To tackle the key problem of ground-mode velocity estimation, an iterative velocity method based on prior knowledge is first proposed. Since the practical measurements are not ideal because of sensor accuracy and nonequivalent transient response, fuzzy neural network is utilized to process traveling wave data acquired at multiple measurements to get an error-tolerant effect. Furthermore, electromagnetic transient simulations for a 34-bus test feeder system under various conditions of fault resistances, inception angles, and distributed generator access reveal the robust estimation of fault location. The performance of the proposed method is also validated by simulations with noisy and noise-free measurements.

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Section: Fault Location Formulationmentioning

confidence: 99%

A novel method for SLG fault location in power distribution system using time lag of travelling wave components

Yin

Deng

2016

IEEJ Transactions Elec Engng

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“…where , , , and are the -modal resistance, inductance, conductance, and capacitance, respectively, which are frequency-dependent because of the influence of skin effect [26]. These distributed parameters can be calculated by using Carson formulation according to geometrical parameters of transmission line.…”

Section: Analysis Of Dispersion Effect In Frequency Domainmentioning

confidence: 99%

An Improved Traveling-Wave-Based Fault Location Method with Compensating the Dispersion Effect of Traveling Wave in Wavelet Domain

Jia

2017

Mathematical Problems in Engineering

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The fault generated transient traveling waves are wide band signals which cover the whole frequency range. When the frequency characteristic of line parameters is considered, different frequency components of traveling wave will have different attenuation values and wave velocities, which is defined as the dispersion effect of traveling wave. Because of the dispersion effect, the rise or fall time of the wavefront becomes longer, which decreases the singularity of traveling wave and makes it difficult to determine the arrival time and velocity of traveling wave. Furthermore, the dispersion effect seriously affects the accuracy and reliability of fault location. In this paper, a novel double-ended fault location method has been proposed with compensating the dispersion effect of traveling wave in wavelet domain. From the propagation theory of traveling wave, a correction function is established within a certain limit band to compensate the dispersion effect of traveling wave. Based on the determined arrival time and velocity of traveling wave, the fault distance can be calculated precisely by utilizing the proposed method. The simulation experiments have been carried out in ATP/EMTP software, and simulation results demonstrate that, compared with the traditional traveling-wave fault location methods, the proposed method can significantly improve the accuracy of fault location. Moreover, the proposed method is insensitive to different fault conditions, and it is adaptive to both transposed and untransposed transmission lines well.

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“…Next, introducing an equivalence transformation defined by (130) (129) can now be easily transformed into…”

Section: F Interface To Circuit Simulatorsmentioning

confidence: 99%

Simulation of high-speed interconnects

2001

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With the rapid developments in very large-scale integration (VLSI) technology, design and computer-aided design (CAD) techniques, at both the chip and package level, the operating frequencies are fast reaching the vicinity of gigahertz and switching times are getting to the subnanosecond levels. The ever increasing quest for high-speed applications is placing higher demands on interconnect performance and highlighted the previously negligible effects of interconnects, such as ringing, signal delay, distortion, reflections, and crosstalk. In this review paper, various high-speed interconnect effects are briefly discussed. In addition, recent advances in transmission line macromodeling techniques are presented. Also, simulation of high-speed interconnects using model-reduction-based algorithms is discussed in detail.

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Skin-effect considerations on transient response of a transmission line excited by an electromagnetic pulse

Cited by 40 publications

References 5 publications

A novel method for SLG fault location in power distribution system using time lag of travelling wave components

A novel method for SLG fault location in power distribution system using time lag of travelling wave components

An Improved Traveling-Wave-Based Fault Location Method with Compensating the Dispersion Effect of Traveling Wave in Wavelet Domain

Simulation of high-speed interconnects

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