Fault location in Transmission System based on Transient Recovery Voltage using Stockwell transform and Artificial Neural Networks

2021 ◽  
Vol 201 ◽  
pp. 107569
Author(s):  
Rafael Arranz ◽  
Ángel Paredes ◽  
Alejandro Rodríguez ◽  
Francisco Muñoz
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fault Location ◽  
Transmission System ◽  
Transient Recovery Voltage ◽  
Artificial Neural ◽  
Stockwell Transform ◽  
Recovery Voltage

scholarly journals An Overview of Transmission Line Protection by Artificial Neural Network: Fault Detection, Fault Classification, Fault Location, and Fault Direction Discrimination

2014 ◽  
Vol 2014 ◽  
pp. 1-20 ◽  
Author(s):  
Anamika Yadav ◽  
Yajnaseni Dash
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fault Detection ◽  
Transmission Line ◽  
Fault Location ◽  
System Stability ◽  
Fault Classification ◽  
Direction Discrimination ◽  
Artificial Neural ◽  
Transmission Line Protection

Contemporary power systems are associated with serious issues of faults on high voltage transmission lines. Instant isolation of fault is necessary to maintain the system stability. Protective relay utilizes current and voltage signals to detect, classify, and locate the fault in transmission line. A trip signal will be sent by the relay to a circuit breaker with the purpose of disconnecting the faulted line from the rest of the system in case of a disturbance for maintaining the stability of the remaining healthy system. This paper focuses on the studies of fault detection, fault classification, fault location, fault phase selection, and fault direction discrimination by using artificial neural networks approach. Artificial neural networks are valuable for power system applications as they can be trained with offline data. Efforts have been made in this study to incorporate and review approximately all important techniques and philosophies of transmission line protection reported in the literature till June 2014. This comprehensive and exhaustive survey will reduce the difficulty of new researchers to evaluate different ANN based techniques with a set of references of all concerned contributions.

Fault location in substations using artificial neural networks

2005 ◽  
Author(s):  
M. A. Wanderley ◽  
J. C. S. Souza ◽  
M. B. Do Coutto Filho ◽  
M. Th. Schilling
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fault Location ◽  
Artificial Neural

A new approach to fault location in two-terminal transmission lines using artificial neural networks

2000 ◽  
Vol 56 (3) ◽  
pp. 261-266 ◽  
Author(s):  
A.J. Mazon ◽  
I. Zamora ◽  
J.F. Miñambres ◽  
M.A. Zorrozua ◽  
J.J. Barandiaran ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Transmission Lines ◽  
Fault Location ◽  
New Approach ◽  
Artificial Neural
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