Digital protective relaying using an adaptive neural network

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

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DC Field	Value	Language
dc.contributor.author	Dash, P K	-
dc.contributor.author	Swain, D P	-
dc.contributor.author	Khincha, H P	-
dc.contributor.author	Liew, A C	-
dc.date.accessioned	2005-06-29T06:10:21Z	-
dc.date.available	2005-06-29T06:10:21Z	-
dc.date.issued	1995	-
dc.identifier.citation	Proceedings of the International Conference on Energy Management and Power Delivery, EMPD '95, 21-23 Nov. 1995, P 684 - 689 vol.2	en
dc.identifier.uri	http://hdl.handle.net/2080/79	-
dc.description	Personal 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
dc.description.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	en
dc.format.extent	379140 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.subject	electric impedance	en
dc.subject	fault location	en
dc.subject	power system analysis computing	en
dc.title	Digital protective relaying using an adaptive neural network	en
dc.type	Article	en
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