Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/94
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dc.contributor.authorDash, P K-
dc.contributor.authorMishra, B-
dc.contributor.authorPanda, S K-
dc.contributor.authorSalama, M M A-
dc.date.accessioned2005-07-04T06:16:19Z-
dc.date.available2005-07-04T06:16:19Z-
dc.date.issued1998-
dc.identifier.citationInternational Conference on Energy Management and Power Delivery(EMPD, 98), 3-5 March 1998,P 17 - 22 vol.1en
dc.identifier.urihttp://hdl.handle.net/2080/94-
dc.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
dc.description.abstractThis paper presents a new approach to estimate the symmetrical and α-β components of the voltage and current signals of a power distribution network using Fourier linear combiners. The learning parameter for updating the weights of the combiner is adapted using a fuzzy logic-based algorithm obtained from the error covariances. The new algorithm is tested using recorded data from an industrial load bus supplying power to electronically controlled induction furnace loads. The estimation results are compared with a 19th order Kalman filter approach to highlight the accuracy and fast tracking capabilities of the new approach. The linear combiner, however, presents a simple and implementable algorithm in comparison to the well known Kalman filter approachen
dc.format.extent408257 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherIEEEen
dc.subjectfourier analysisen
dc.subjectdistribution networksen
dc.subjectharmonic distortionen
dc.subjectharmonic analysisen
dc.titleComputation of power quality symmetrical components using fuzzy logic based linear combinersen
dc.typeArticleen
Appears in Collections:Conference Papers

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