Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/79
Title: Digital protective relaying using an adaptive neural network
Authors: Dash, P K
Swain, D P
Khincha, H P
Liew, A C
Keywords: electric impedance
fault location
power system analysis computing
Issue Date: 1995
Publisher: IEEE
Citation: Proceedings of the International Conference on Energy Management and Power Delivery, EMPD '95, 21-23 Nov. 1995, P 684 - 689 vol.2
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
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URI: http://hdl.handle.net/2080/79
Appears in Collections:Conference Papers

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