A new on-line technique to identify fault location within long transmission lines

2019 ◽  
Vol 105 ◽  
pp. 52-64 ◽  
Author(s):  
A. Abu-Siada ◽  
Saif Mir
Keyword(s):  
Transmission Lines ◽  
Fault Location ◽  
On Line

scholarly journals Fault Location in High Voltage Transmission Lines Using Resistance, Reactance and Impedance

2018 ◽  
Vol 2 (2) ◽  
pp. 78
Author(s):  
Samira Seghir ◽  
Tahar Bouthiba ◽  
Samia Dadda ◽  
Rebiha Boukhari ◽  
Abdelhakim Bouricha
Keyword(s):  
Transmission Lines ◽  
Fault Location ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Practical Case ◽  
Distance Protection ◽  
Creative Commons ◽  
On Line ◽  
Open Access Article

This paper presents two methods for on-line computation of dynamic fault location in HV transmission lines using three means; resistance, reactance and impedance. These methods can be used for dynamic distance protection of the transmission line. The Gilchrist method and McInnes method are presented. The proposed methods use digital set of short circuit current and voltage measurements for estimating fault location. A practical case study is presented in this work to evaluate the proposed methods. A study is done to evaluate the best mean to locate the fault. A comparison of these two methods is presented. MATLAB-Simulink software was used to do all the tests. Results are reported and conclusions are drawn.  This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Measuring device for determination fault location in transmission lines based on stochastic adding a/d conversion

2003 ◽  
Vol 16 (2) ◽  
pp. 165-176
Author(s):  
Branislav Santrac ◽  
Vladimir Vujicic
Keyword(s):  
Transmission Lines ◽  
Fault Location ◽  
Complete Analysis ◽  
Transmission Networks ◽  
Measuring Device ◽  
Network Characteristic ◽  
Theoretical Error ◽  
On Line ◽  
Characteristic Values

This work describes a device, locator of breaks in transmission networks based on the Stochastic Additional A/D converter. An algorithm has been used for detection does the complete analysis of circuits within the break and locates the location of the break BEFORE the protection reacts. The time needed for this is 40-80 ms. The algorithm for calculation requires data about the type of the network, characteristic values of its parameters and values of some harmonics of signals of the voltage and electricity that are measured. They are ON-LINE extracted at every 10 ms. The stochastic additional A/D converter (SAADK) is used for the extraction of these harmonics. Simulations of the work of the device have been done on generated readings of electricity and voltage, and on real images of the break. Special attention has been paid to the analysis of accuracy of the work of the device. A theoretical error is also given in the values realized from simulations.

A Novel Fault-location Method for HVDC Transmission Lines Based on Concentric Relaxation Principle and Wavelet Packet

2020 ◽  
Vol 13 (5) ◽  
pp. 705-716
Author(s):  
Congshan Li ◽  
Ping He ◽  
Feng Wang ◽  
Cunxiang Yang ◽  
Yukun Tao ◽  
...  
Keyword(s):  
Transmission Lines ◽  
Traveling Wave ◽  
Fault Location ◽  
Wave Attenuation ◽  
Wavelet Packet ◽  
Low Frequency ◽  
Evaluation Process ◽  
Location Method ◽  
Hvdc Transmission ◽  
Instantaneous Energy

Background: A novel fault location method of HVDC transmission line based on a concentric relaxation principle is proposed in this paper. Methods: Due to the different position of fault, the instantaneous energy measured from rectifier and inverter are different, and the ratio k between them is the relationship to the fault location d. Through the analysis of amplitude-frequency characteristics, we found that the wave attenuation characteristic of low frequency in the traveling wave is stable, and the amplitude of energy is larger, so we get the instantaneous energy ratio by using the low-frequency data. By using the method of wavelet packet decomposition, the voltage traveling wave signal was decomposed. Results: Finally, calculate the value k. By using the data fitting, the relative function of k and d can be got, that is the fault location function. Conclusion: After an exhaustive evaluation process considering different fault locations, fault resistances, and noise on the unipolar DC transmission system, four-machine two-area AC/DC parallel system, and an actual complex grid, the method presented here showed a very accurate and robust behavior.

Fault location on transmission lines based on travelling waves using correlation and MODWT

2021 ◽  
Vol 197 ◽  
pp. 107308
Author(s):  
V.H. Gonzalez-Sanchez ◽  
V. Torres-García ◽  
D. Guillen
Keyword(s):  
Transmission Lines ◽  
Fault Location ◽  
Travelling Waves

Digital fault location for high resistance grounded transmission lines

1999 ◽  
Vol 14 (1) ◽  
pp. 80-85 ◽  
Author(s):  
T. Funabashi ◽  
H. Otoguro ◽  
Y. Mizuma ◽  
T. Kai ◽  
N. Takeuchi ◽  
...  
Keyword(s):  
High Resistance ◽  
Transmission Lines ◽  
Fault Location

scholarly journals Non-contact fault location and identification method for same-tower multi-circuit transmission lines

2021 ◽  
Vol 7 ◽  
pp. 147-158
Author(s):  
Tao Yin ◽  
Jian Li ◽  
Dongsheng Cai ◽  
Qi Huang ◽  
Weihao Hu
Keyword(s):  
Transmission Lines ◽  
Fault Location ◽  
Identification Method

scholarly journals A Single-Terminal Fault Location Method for HVDC Transmission Lines Based on a Hybrid Deep Network

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 255
Author(s):  
Lei Wang ◽  
Yigang He ◽  
Lie Li
Keyword(s):  
Deep Learning ◽  
Transmission Lines ◽  
Fault Location ◽  
Short Term Memory ◽  
Engineering Application ◽  
Energy Operator ◽  
Sampling Frequency ◽  
Learning Technology ◽  
Long Distance ◽  
Hvdc Transmission

High voltage direct current (HVDC) transmission systems play an increasingly important role in long-distance power transmission. Realizing accurate and timely fault location of transmission lines is extremely important for the safe operation of power systems. With the development of modern data acquisition and deep learning technology, deep learning methods have the feasibility of engineering application in fault location. The traditional single-terminal traveling wave method is used for fault location in HVDC systems. However, many challenges exist when a high impedance fault occurs including high sampling frequency dependence and difficulty to determine wave velocity and identify wave heads. In order to resolve these problems, this work proposed a deep hybrid convolutional neural network (CNN) and long short-term memory (LSTM) network model for single-terminal fault location of an HVDC system containing mixed cables and overhead line segments. Simultaneously, a variational mode decomposition–Teager energy operator is used in feature engineering to improve the effect of model training. 2D-CNN was employed as a classifier to identify fault segments, and LSTM as a regressor integrated the fault segment information of the classifier to achieve precise fault location. The experimental results demonstrate that the proposed method has high accuracy of fault location, with the effects of fault types, noise, sampling frequency, and different HVDC topologies in consideration.

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