Fault detection, location and classification of a transmission line

被引：70
|
作者：
Mishra, Debani Prasad [1 ]
Ray, Papia [2 ]
机构：
[1] Int Inst Informat Technol Bhubaneswar, Dept Elect & Elect Engn, Bhubaneswar, Odisha, India
[2] Veer Surendar Sai Univ Technol, Dept Elect Engn, Burla, India
来源：
NEURAL COMPUTING & APPLICATIONS | 2018年 / 30卷 / 05期
关键词：
Signal processing technique; Artificial intelligence; Classification; Location; Detection; Transmission line; SUPPORT VECTOR MACHINE; ARTIFICIAL NEURAL-NETWORK; WAVELET MULTIRESOLUTION ANALYSIS; INFERENCE SYSTEM APPROACH; FUZZY COMBINED APPROACH; MATRIX PENCIL METHOD; VOLTAGE MEASUREMENTS; DISTANCE PROTECTION; FEATURE-EXTRACTION; ADAPTIVE-NETWORK;
D O I：
10.1007/s00521-017-3295-y
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1377 / 1424
页数：48
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