Method of fault location based on the distributed traveling-wave detection device on overhead transmission line

Liu, Y. D.; Sheng, Gehao; He, Ziming; Xu, Xinxing; Jiang, Xiuchen

doi:10.1109/peam.2011.6134925

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…Fault occurrence leads to a discontinuity point (faulted point) on the faulted line at which line impedance changes. Due to these discontinuities, refraction and reflection of any wave along this line will take place at the faulty point [22]. Application of this phenomenon results in two main travelling waves-based approaches used to analyze fault location issues.…”

Section: Travelling Wave Techniquesmentioning

confidence: 99%

A Survey of Fault Location Techniques for Distribution Networks

Sheta

Abdulsalam

Eladl

2020

Bulletin of the Faculty of Engineering. Mansoura University

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Since recent societies become more hooked into electricity, a higher level of power supply continuity is required from power systems. The expansion of those systems makes them liable to electrical faults and several failures are raised due to totally different causes. As a result of these failures, the faulty element ought to be disconnected and isolated as soon as possible to reduce the damage and remove the emergency state from the whole system. Power quality considerations impose the grid to spot the faulted area as rapidly as doable, which forces utility operators in speeding up fault detection and system recovery and subsequently decreasing blackout time and pertinent costs. All these conditions have raised incredible significances about investigating methods and techniques used for fast detecting of faulted area, thus this matter needs to be pulled in broad consideration among researchers in power systems. In this paper, a comparative environment classifies and surveys a wide number of fault location procedures for distribution networks. The paper can be considered as a guide for operating engineers and researchers to settle on the foremost viable plausibility backed their existing framework and necessities.

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Section: Travelling Wave Techniquesmentioning

confidence: 99%

A Survey of Fault Location Techniques for Distribution Networks

Sheta

Abdulsalam

Eladl

2020

Bulletin of the Faculty of Engineering. Mansoura University

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“…Currently, high voltage lines are protected by devices which allow to identify the fault position and put out of service the non-functioning part of the grid. For example, the distance protection employed on overhead transmission lines uses Intelligent Electronic Devices (IEDs) to estimate the impedance between the protection point and the failure point by measuring the line voltage and current [2]. In this way it is possible to obtain the distance from the fault, exploiting the correspondence between conductor impedance and length of the line section.…”

Section: Introductionmentioning

confidence: 99%

Neural Network-Based Fault Diagnosis of Joints in High Voltage Electrical Lines

Bindi¹,

Aizenberg²,

Belardi³

et al. 2020

Adv. sci. technol. eng. syst. j.

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In this paper a classification system based on a complex-valued neural network is used to evaluate the health state of joints in high voltage overhead transmission lines. The aim of this method is to prevent breakages on the joints through the frequency response measurements obtained at the initial point of the network. The specific advantage of this kind of measure is to be non-intrusive and therefore safer than other approaches, also considering the high voltage nature of the lines. A feedforward multi-layer neural network with multi-valued neurons is used to achieve the goal. The results obtained for power lines characterized by three and four junction regions show that the system is able to identify the health state of each joint, with an accuracy level greater than 90%.

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“…The most-used diagnosis techniques for electrical power networks are based on reflectometry in the time domain or on the measurement of "traveling waves" [6,7]. The former are techniques able to locate, with good precision, a sharp change of the impedance value along the line, but do not allow the identification of the progressive degradation of the infrastructure and present some difficulties for an online usage.…”

Section: Introductionmentioning

confidence: 99%

Failure Prevention and Malfunction Localization in Underground Medium Voltage Cables

et al. 2020

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A smart monitoring system capable of detecting and classifying the health conditions of MV (Medium Voltage) underground cables is presented in this work. Using the analysis technique proposed here, it is possible to prevent the occurrence of catastrophic failures in medium voltage underground lines, for which it is generally difficult to realize maintenance operations and carry out punctual inspections. This prognostic method is based on Frequency Response Analysis (FRA) and can be used online during normal network operation, resulting in a minimally invasive tool. In order to obtain the good results shown in the simulation section, it is necessary to develop a lamped equivalent circuit of the network branch under consideration. The standard π-model is used in this paper to analyse sections of a medium voltage cable and the parameter variations with temperature are used to classify the state of health of the line. In fact, the variation of the electrical parameters produces a corresponding variation in the frequency response. The proposed system is based on the use of a complex neural network with feedforward architecture. It processes the frequency response, allowing the classification of the cable conditions with an accuracy higher than 90%.

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Method of fault location based on the distributed traveling-wave detection device on overhead transmission line

Cited by 5 publications

References 2 publications

A Survey of Fault Location Techniques for Distribution Networks

A Survey of Fault Location Techniques for Distribution Networks

Neural Network-Based Fault Diagnosis of Joints in High Voltage Electrical Lines

Failure Prevention and Malfunction Localization in Underground Medium Voltage Cables

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