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Neural Computing and Applications

Erschienen in:

01.12.2017 | Review

Fault detection, location and classification of a transmission line

verfasst von: Debani Prasad Mishra, Papia Ray

Erschienen in: Neural Computing and Applications | Ausgabe 5/2018

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Abstract

Transient stability is very important in power system. Large disturbances like fault in a transmission line are a concern which needs to be disconnected as quickly as possible in order to restore the transient stability. Faulty current and voltage signals are used for location, detection and classification of faults in a transmission network. Relay detects an abnormal signal, and then the circuit breaker disconnects the unhealthy transmission line from the rest of the health system. This paper discusses various signal processing techniques, impedance-based measurement method, travelling wave phenomenon-based method, artificial intelligence-based method and some special technique for the detection, location and classification of various faults in a transmission network. In this survey, paper signifies all method and techniques till August 2017. This compact and effective survey helps the researcher to understand different techniques and methods.

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Titel: Fault detection, location and classification of a transmission line
verfasst von: Debani Prasad Mishra
Papia Ray
Publikationsdatum: 01.12.2017
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 5/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-017-3295-y

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