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Physical modeling of wind turbine generators in a small scale analog system

Author(s)
Wang, Xuntuo (Nelson Xuntuo)
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Alternative title
Analysis of stability and dynamics of double-fed induction machines in the wind turbine system
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
James L. Kirtley, Jr.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
This project represents the physical modeling and experimental test of a Doubly-fed Induction Machine (DFIM), in order to substantially analyze the characteristic behaviors of wind turbines and its use in the micro-grid network. The environment set-up is based on a smart micro-grid system, which consists of the grid, a diesel generator, a solar panel, and a wind farm. The hardware work includes the design of a 2.5kW inverter and a L-C-L grid filter (including inductor design and construction). The goal of this research is to better emulate the operation principles of wind turbine system. Future work proposes developing a better control method to improve the stability and reliability of the wind turbine system. Keywords: DFIM, micro-grid, space vector PWM, DTC-SVM, back-to-back inverter, inductor design, and grid filter.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
 
24
 
Cataloged from PDF version of thesis. Title as it appears in June 6, 2014 commencement exercises program: Analysis of stability and dynamics of double-fed induction machines in the wind turbine system.
 
Includes bibliographical references (pages 76-77)
 
Date issued
2014
URI
http://hdl.handle.net/1721.1/90168
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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