Control system for doubly fed induction generator based wind energy conversion system

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dc.contributor.advisor Merabet, Adel, 1975-
dc.creator Tanvir, Aman Abdulla
dc.date.accessioned 2016-09-15T14:14:11Z
dc.date.available 2016-09-15T14:14:11Z
dc.date.issued 2016
dc.identifier.other TK1541 T36 2016
dc.identifier.uri http://library2.smu.ca/handle/01/26616
dc.description ix, 124 leaves : ill. (some col.) ; 29 cm
dc.description Includes abstract and appendix.
dc.description Includes bibliographical references (leaves 112-124).
dc.description.abstract This thesis deals with the analysis, modeling, and control of the doubly-fed induction machine used as a wind turbine generator. The energy efficiency of wind turbine systems equipped with doubly-fed induction generators are compared to other wind turbine generator systems. Moreover, two controlling methods of variable-speed wind turbine system using a doubly-fed induction generator are analyzed and validated experimentally. In addition, artificial neural network (ANN) is used to estimate the rotor position in model reference adaptive system (MRAS) based speed estimation technique. en_CA
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dc.description.provenance Made available in DSpace on 2016-09-15T14:14:11Z (GMT). No. of bitstreams: 1 Tanvir_Aman_MASTERS_2016.pdf: 2319087 bytes, checksum: fc96a0c490ba42f429c109c768cfc789 (MD5) Previous issue date: 2016-06-30 en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.subject.lcc TK1541
dc.subject.lcsh Wind energy conversion systems -- Automatic control
dc.subject.lcsh Induction generators -- Automatic control
dc.title Control system for doubly fed induction generator based wind energy conversion system en_CA
dc.type Text en_CA
thesis.degree.name Master of Science in Applied Science
thesis.degree.level Masters
thesis.degree.discipline Engineering
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
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