Title :
Digital protective relaying using an adaptive neural network
Author :
Dash, P.K. ; Swain, P. ; Khincha, H.P. ; Liew, A.C.
Author_Institution :
Dept. of Electr. Eng., Regional Eng. Coll., Rourkela, India
Abstract :
The paper presents a new approach to the estimation of voltage and current phasors of a faulted power system by using an adaptive neural network represented by adalines. The neural estimator uses a nonlinear weight adjustment algorithm for the effective rejection of DC offset and noise. The fault apparent resistance, reactance and fault location of a typical transmission line are calculated using the estimated phasors. The results are quite comparable to the Kalman filter approach which requires more computation than the existing approach
Keywords :
electric impedance; fault location; neural nets; power system analysis computing; power system protection; relay protection; DC offset rejection; adalines; adaptive neural network; current phasors; digital protective relaying; fault apparent resistance; fault location; faulted power system; neural estimator; noise rejection; nonlinear weight adjustment algorithm; reactance; transmission line; voltage phasors; Adaptive systems; Equations; Impedance; Least squares approximation; Neural networks; Power harmonic filters; Power system harmonics; Power system protection; Protective relaying; Voltage;
Conference_Titel :
Energy Management and Power Delivery, 1995. Proceedings of EMPD '95., 1995 International Conference on
Print_ISBN :
0-7803-2981-3
DOI :
10.1109/EMPD.1995.500811
