TITLE:
Adaline and FIS Techniques for Fault Identification in HV Transmission Line
AUTHORS:
K. Elango, G. Geetha
KEYWORDS:
Symmetrical Components, Fuzzy, Fuzzy Interference System, Transmission-Line Protection
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.10,
August
23,
2016
ABSTRACT: This paper is to identify
and classify the various types of shunt and line faults in transmission line.
The faults may be an insulation failure, lightning or accidental faulty
operation. In a transmission line protection important factor is identifying a
fault because if any error occurs in finding fault may leads to abnormal
operation of the protection system. So either a disturbance or steady state
variation is called power quality variation. The proposed test system is
modeled based on the neural network and fuzzy algorithm. The online symmetrical
components are extracted by this above algorithm. The fuzzy is used to separate
the oscillating components and average components. Here input for the fuzzy is
trained by using neural network. It is based on current samples and very
effective in fault classifier using rule base. This method is very much
suitable for online implementation.