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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/79

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contributor.authorDash, P K-
contributor.authorSwain, D P-
contributor.authorKhincha, H P-
contributor.authorLiew, A C-
identifier.citationProceedings of the International Conference on Energy Management and Power Delivery, EMPD '95, 21-23 Nov. 1995, P 684 - 689 vol.2en
descriptionPersonal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
description.abstractThe 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 approachen
format.extent379140 bytes-
subjectelectric impedanceen
subjectfault locationen
subjectpower system analysis computingen
titleDigital protective relaying using an adaptive neural networken
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