scholarly journals Fault Model and Travelling Wave Matching Based Single Terminal Fault Location Algorithm for T-Connection Transmission Line: A Yunnan Power Grid Study

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1506
Author(s):  
Hongchun Shu ◽  
Yiming Han ◽  
Ran Huang ◽  
Yutao Tang ◽  
Pulin Cao ◽  
...  
Keyword(s):  
Transmission Line ◽  
Computer Aided Design ◽  
Fault Location ◽  
Arrival Time ◽  
Travelling Waves ◽  
Complex Structure ◽  
Measurement Data ◽  
Travelling Wave ◽  
Electromagnetic Transients ◽  
Actual Measurement

Due to the complex structure of the T-connection transmission lines, it is extremely difficult to identify the reflected travelling wave from the fault point and that from the connection point by the measurement from only one terminal. According to the characteristics of the structure of the T-connection transmission line, the reflection of the travelling wave within the line after the failure of different sections in T-connection transmission line are analyzed. Based on the lattice diagram of the travelling wave, the sequence of travelling waves detected at the measuring terminal varies with the fault distance and the faulty section. Moreover, the sequence of travelling waves detected in one terminal is unique at each faulty section. This article calculates the arrival time of travelling waves of fault points at different locations in different sections to form the collection of the travelling wave arrival time sequence. Then the sequence of travelling waves of the new added fault waveforms is extracted to compare with the sequences in the collection for the faulty section identification and fault location. This proposed method can accurately locate the fault with different fault types, fault resistances and system impedances by only single-terminal fault data. Both Power Systems Computer Aided Design/ Electromagnetic Transients including DC (PSCAD/EMTDC) and actual measurement data are implemented to verify the effectiveness of this method.

scholarly journals Two-Terminal Algorithm Analysis for Unsymmetrical Fault Location on 110 kV Lines

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1193 ◽  
Author(s):  
Zuzana Bukvisova ◽  
Jaroslava Orsagova ◽  
David Topolanek ◽  
Petr Toman
Keyword(s):  
Power Systems ◽  
Transmission Line ◽  
Transmission Lines ◽  
Computer Aided Design ◽  
Fault Location ◽  
Power Transmission ◽  
Current Data ◽  
Algorithm Analysis ◽  
Power Transmission Lines ◽  
Design Environment

This work analyses a two-terminal algorithm designed to locate unsymmetrical faults on 110 kV power transmission lines. The algorithm processes synchronized voltage and current data obtained from both ends of the protected transmission line and calculates the distance of the fault. It is based on decomposing the equivalent circuit into the positive-, negative- and zero-sequence components and finding the point where the output voltages of the right and the left side of the transmission line are equal. Compared to the conventional distance relay locator, the accuracy of this method is higher and less influenced by the fault resistance, the parallel-operated line effect and line asymmetry, as discussed in this work. It is, however, very sensitive to the synchronization accuracy. The mathematical model of the power system was created in the PSCAD (Power Systems Computer Aided Design) environment and the computational algorithm was implemented in Mathematica software.

Fault location in distribution network using travelling waves

2019 ◽  
Vol 13 (3) ◽  
pp. 651-669
Author(s):  
Ranjeet Kumar ◽  
D. Saxena
Keyword(s):  
Fault Detection ◽  
Electric Vehicle ◽  
Distributed Generation ◽  
Power Supply ◽  
Fault Location ◽  
Travelling Waves ◽  
Distribution Network ◽  
Travelling Wave ◽  
Content Type ◽  
Ev Charging

Purpose An electrical power distribution network is expected to deliver uninterrupted power supply to the customers. The disruption in power supply occurs whenever there is a fault in the system. Therefore, fast fault detection and its precise location are necessary to restore the power supply. Several techniques are proposed in the past for fault location in distribution network but they have limitations as their fault location accuracy depends on system conditions. The purpose of this paper is to present a travelling wave-based fault location method, which is fast, accurate and independent of system conditions. Design/methodology/approach This paper proposes an effective method for fault detection, classification and location using wavelet analysis of travelling waves for a multilateral distribution network embedded with distributed generation (DG) and electric vehicle (EV) charging load. The wavelet energy entropy (WEE) is used for fault detection and classification purpose, and wavelet modulus maxima (WMM) of aerial mode component is used for faulted lateral identification and exact fault location. Findings The proposed method effectively detects and classifies the faults, and accurately determines the exact fault location in a multilateral distribution network. It is also found that the proposed method is robust and its accuracy is not affected by the presence of distributed generation and electric vehicle charging load in the system. Originality/value Travelling wave based method for fault location is implemented for a multilateral distribution network containing distributed generation and electric vehicle load. For the first time, a fault location method is tested in the presence of EV charging load in distribution network.

A Distribution Network Fault Location Method Based on Reverse Wave and Wavelet Analysis

2015 ◽  
Vol 713-715 ◽  
pp. 1369-1372
Author(s):  
Xue Ming Zhai ◽  
Huan Xia ◽  
Long An
Keyword(s):  
Generating Functions ◽  
Fault Location ◽  
Single Phase ◽  
Travelling Waves ◽  
Distribution Network ◽  
Travelling Wave ◽  
Location Method ◽  
Ground Fault ◽  
Modulus Maximum ◽  
Network Fault

Based on the analysis of the transient process of the electric line’s developing ground fault, this paper applies the oppositely-directed travelling wave fault location method to fault location in distribution network. Simultaneously, this paper chooses proper wavelet generating functions to find the modulus maximum of oppositely-directed travelling waves and summarizes the methods and steps of this oppositely-directed travelling wave fault location. Finally, PSCAD/EMTDC is used to simulate the single-phase ground fault to verify the oppositely-directed travelling wave fault location method.

scholarly journals Fault identification in power cables by using travelling wave-based approach

2021 ◽  
Vol 12 (2) ◽  
pp. 855-865
Author(s):  
M.NagaJyothia, Et. al.
Keyword(s):  
Communication Channel ◽  
Fault Location ◽  
Travelling Waves ◽  
Travelling Wave ◽  
Fault Identification ◽  
Power Cable ◽  
Power Cables ◽  
Underground Cables ◽  
Ground Resistance ◽  
Types Of Faults

Thefaults in the underground cables cause to generatetransients which propagate along the power cable as travelling waves. The velocity of the generated travelling wave and the time taken by a wave to reach the source point from the fault location enables us to calculate the fault distance value.In this paper a double endedtravelling wave based approach is used and a communication channel is designed to calculate the fault distance. A circuit-based model is developed in the EMTP-RV software to find out the fault distance from the source end for all types of faults. Further it is proved that the fault distance is unaffected by the change in ground resistance, various types of faults and the fault inception angle in the proposed method

scholarly journals A Novel Fault Location Method for Power Cables Based on an Unsupervised Learning Algorithm

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1164
Author(s):  
Mingzhen Li ◽  
Jialong Bu ◽  
Yupeng Song ◽  
Zhongyi Pu ◽  
Yuli Wang ◽  
...  
Keyword(s):  
Unsupervised Learning ◽  
Traveling Waves ◽  
Traveling Wave ◽  
Computer Aided Design ◽  
Fault Location ◽  
Arrival Time ◽  
Short Circuit ◽  
Power Cable ◽  
Density Level ◽  
Location Method

In order to locate the short-circuit fault in power cable systems accurately and in a timely manner, a novel fault location method based on traveling waves is proposed, which has been improved by unsupervised learning algorithms. There are three main steps of the method: (1) build a matrix of the traveling waves associated with the sheath currents of the cables; (2) cluster the data in the matrix according to its density level and the stability, using Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN); (3) search for the characteristic cluster point(s) of the two branch clusters with the smallest density level to identify the arrival time of the traveling wave. The main improvement is that high-dimensional data can be directly used for the clustering, making the method more effective and accurate. A Power System Computer Aided Design (PSCAD) simulation has been carried out for typical power cable circuits. The results indicate that the hierarchical structure of the condensed cluster tree corresponds exactly to the location relationship between the fault point and the monitoring point. The proposed method can be used for the identification of the arrival time of the traveling wave.

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