Fault detection of self excited induction generator

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2331

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DC Field	Value	Language
dc.contributor.author	Dalei, J	-
dc.contributor.author	Mohanty, K B	-
dc.date.accessioned	2015-06-17T07:03:13Z	-
dc.date.available	2015-06-17T07:03:13Z	-
dc.date.issued	2015-06	-
dc.identifier.citation	International Conference on Energy, Power and Environment( ICEPE 2015),NIT Meghalaya, Shillong, 12-13th June 2015	en_US
dc.identifier.uri	http://hdl.handle.net/2080/2331	-
dc.description	Copyright belong to proceeding publisher	en_US
dc.description.abstract	In isolated and remote area researchers are motivated recently to generate power using wind. Self excited induction generator (SEIG) is selected as a good candidate to extract electric power from wind. In this paper transient performance of SEIG during short circuit fault has been studied. Though SEIG is capable to protect itself from faults, but it is also necessary convey the message to operator about the fault. For this fast detection scheme is essential, in this paper discrete wavelet transform (DWT) and second generation wavelet transform (SGWT) are used for fault detection. It is observed that processing time of SGWT is faster compared to DWT	en_US
dc.language.iso	en	en_US
dc.subject	Self-excited induction generator	en_US
dc.subject	Fault detection	en_US
dc.subject	Discrete Wavelet Transform	en_US
dc.subject	Second Generation Wavelet Transform	en_US
dc.title	Fault detection of self excited induction generator	en_US
dc.type	Article	en_US
Appears in Collections:	Conference Papers

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