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Electric Pollution Studies in Mesh Type MTDC System Using Neural Network

Narendra, KG and Chandrasekharaiah, HS (1993) Electric Pollution Studies in Mesh Type MTDC System Using Neural Network. In: Second International Forum on Applications of Neural Networks to Power Systems, 1993 ANNPS '93, 19-22 April, Yokohama,Japan, pp. 355-360.


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In this paper we are proposing a Neural Network identifier to estimate the electric pollution (harmonics) contents present in the voltage and current signals of a mesh type Multi Terminal Direct Current (MTDC) system under dynamic conditions. A digital computer program has been developed to implement the Neural Network and a modified form of Fourier series representation which improves the accuracy of the results is discussed.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright 1990 IEEE. 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.
Keywords: MTDC system;Neural Network;Harmonics
Department/Centre: Division of Electrical Sciences > High Voltage Engineering (merged with EE)
Date Deposited: 25 Aug 2008
Last Modified: 19 Sep 2010 04:27
URI: http://eprints.iisc.ac.in/id/eprint/6923

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