A General Travelling-Wave-Based Scheme for Locating Simultaneous Faults in Transmission Lines

el‐Ghany, Hossam A. Abd; Azmy, Ahmed M.; Abeid, Ahmed Magdy

doi:10.1109/tpwrd.2019.2931178

Cited by 30 publications

(12 citation statements)

References 29 publications

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“…Either the transience created by a fault is captured or impulses are injected into the line and the reflected travelling wave is detected with a timedomain reflectometer (TDR). As the fault signal obtained at the end of the transmission line is highly distorted with noise, modern signal processing techniques are required, such as the use of wavelets [72]- [74]. However, these methods fully depend on an assumption that the parameters of the transmission line are uniform.…”

Section: ) Travelling-wave-based (Tw) Techniquesmentioning

confidence: 99%

An Advanced Unmanned Aerial Vehicle (UAV) Approach via Learning-Based Control for Overhead Power Line Monitoring: A Comprehensive Review

Foudeh

Luk²,

Whidborne

2021

IEEE Access

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Detection and prevention of faults in overhead electric lines is critical for the reliability and availability of electricity supply. The disadvantages of conventional methods range from cumbersome installations to costly maintenance and from lack of adaptability to hazards for human operators. Thus, transmission inspections based on unmanned aerial vehicles (UAV) have been attracting the attention of researchers since their inception. This article provide a comprehensive review for the development of UAV technologies in the overhead electric power lines patrol process for monitoring and identifying faults, explores its advantages, and realizes the potential of the aforementioned method and how it can be exploited to avoid obstacles, especially when compared with the state-of-the-art mechanical methods. The review focuses on the development of advanced Learning Control strategies for higher manoeuvrability of the quadrotor. It also explores a suitable recharging strategies and motor control for improved mission autonomy.

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Section: ) Travelling-wave-based (Tw) Techniquesmentioning

confidence: 99%

An Advanced Unmanned Aerial Vehicle (UAV) Approach via Learning-Based Control for Overhead Power Line Monitoring: A Comprehensive Review

Foudeh

Luk²,

Whidborne

2021

IEEE Access

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“…Fault location methods based on power frequency signals are called impedance-based [5][6][7] while methods based on transient frequencies are called traveling wave-based fault location (TWFL) [8,9]. There is also a third category based on the extraction of wave properties adopting soft computing methods such as machine learning, neural networks etc.…”

Section: Introductionmentioning

confidence: 99%

A novel traveling wave arrival time detection method in power system

Rezaei

Gholipour

Parvaresh

2021

IET Generation Trans & Dist

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This paper proposes a high-speed and accurate method for extracting the arrival times (ATs) of traveling waves (TWs) in the power system that can be used for fault location applications and transmission line protection. The proposed method is based on the expression of the traveling wave as the exponentially damped component superimposed on the sinusoidal wave in a small time window. Also the sine component is removed by using approximation and consecutive differences of the input signal samples (the modal components of three-phase voltages or currents) from the resulting wave. Due to the fact that the estimation of traveling wave arrival times (TWATs) is done applying basic mathematical operations in the time domain, the proposed method, in addition to the simplicity of implementation, has the appropriate accuracy and speed for applications such as online fault location and protection purposes. In order to evaluate the performance of the proposed approach in fault locating, a 230 kV transmission line is modelled in EMTP/ATP. Then, the fault location under various conditions of faults such as changes in location and type of fault, fault conditions as well as variations in the measurement noise level and sampling frequency are studied using MATLAB.

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“…While no technique has so far been developed to accurately identify such abnormal events and hence predict faults before their occurrence, several techniques have been developed to identify fault locations within power lines. These techniques include travelling waves and apparent impedance methods [3, 4]. The visual aerial method may also be utilised, however, due to the high cost and risk involved, this method is used every 3 to 5 years for line condition assessment [5].…”

Section: Introductionmentioning

confidence: 99%

Voltage–current technique to identify fault location within long transmission lines

Abu-Siada

Mosaad

Mir

2020

IET Generation, Transmission & Distribution

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A General Travelling-Wave-Based Scheme for Locating Simultaneous Faults in Transmission Lines

Cited by 30 publications

References 29 publications

An Advanced Unmanned Aerial Vehicle (UAV) Approach via Learning-Based Control for Overhead Power Line Monitoring: A Comprehensive Review

An Advanced Unmanned Aerial Vehicle (UAV) Approach via Learning-Based Control for Overhead Power Line Monitoring: A Comprehensive Review

A novel traveling wave arrival time detection method in power system

Voltage–current technique to identify fault location within long transmission lines

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