Fuzzy logic based on-line fault detection and classification in transmission line

被引：42
|
作者：
Adhikari, Shuma [1 ]
Sinha, Nidul [2 ]
Dorendrajit, Thingam [1 ]
机构：
[1] Natl Inst Technol Manipur, Dept Elect Engn, Imphal, Manipur, India
[2] Natl Inst Technol Silchar, Dept Elect Engn, Silchar, Assam, India
来源：
SPRINGERPLUS | 2016年 / 5卷
关键词：
Fault; Power system protection; CRIO; Fuzzy logic; WAVELET MULTIRESOLUTION ANALYSIS; NEURAL-NETWORK; INFERENCE SYSTEM; RELAYING SCHEME; PROTECTION; IDENTIFICATION; TRANSFORM; LOCATION;
D O I：
10.1186/s40064-016-2669-4
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This study presents fuzzy logic based online fault detection and classification of transmission line using Programmable Automation and Control technology based National Instrument Compact Reconfigurable i/o (CRIO) devices. The LabVIEW software combined with CRIO can perform real time data acquisition of transmission line. When fault occurs in the system current waveforms are distorted due to transients and their pattern changes according to the type of fault in the system. The three phase alternating current, zero sequence and positive sequence current data generated by LabVIEW through CRIO-9067 are processed directly for relaying. The result shows that proposed technique is capable of right tripping action and classification of type of fault at high speed therefore can be employed in practical application.
引用
收藏
页数：14
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