Online adaptive fault classifier module in high voltage transmission line using fuzzy

The main concept of 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 disoperation of the protection system. So either a disturbances or steady state variations are called power quality variation. In this paper, a new method for online symmetrical components and phase-angle extraction from high voltage transmission-line faults. This method is based on the fuzzy and the instantaneous power theory. The average and oscillating terms of the powers in the αβ frame are separated by using fuzzy. It is based on current samples and very effective in fault classifier using rule base. This method is very much suitable for online implementation.