A FUZZY SET APPROACH TO FAULT CLASSIFICATION FOR TRANSMISSION LINE PROTECTION
Kunal Singh Verma*, Mr. B.B. Dash
In this paper, a fuzzy logic-based fault classification scheme for transmission lines is proposed. The classification procedure is carried out by only post fault current phasor of three phases of the transmission line. The proposed technique is able to classify all the possible types of faults including single-phase to ground, two-phases, two-phases to ground and three-phase faults with high accuracy. In addition, this method can identify the faulted phase(s) from non-faulted phase(s). The proposed method has a good performance in high fault resistances, and high fault distances from relaying point. Large numbers of test cases are generated to verify the performance of proposed technique. The simulation studies have been carried out by using MATLAB/SIMULINK. SimPowerSystems and Fuzzy Logic Toolbox have been used from MATLAB.
Kunal Singh Verma
Transmission line, Discrete Fourier transform (DFT), Fuzzy logic system (FLS), Fault detection (FD), Fault classification (FC), Fault inception angle (FIA)
An accurate fault classification technique using fuzzy logic system has been proposed, which can be implemented for the digital protection of the power transmission line. The proposed protection technique requires the consideration of the three phase post fault current samples at one end of line only. The fault classification algorithm is based on the angular differences among the sequence components of the fundamental fault current as well as on the relative magnitudes of fundamental phase current.
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