Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/64507
Title: Design and optimization of electric continuous variable transmission system for wind power generation
Authors: Wang, Y
Niu, S 
Fu, WN 
Ho, SL 
Keywords: Electric continuous variable transmission (E-CVT)
Genetic algorithm (GA)
Parameter optimize
Wind power
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on magnetics, 2016, v. 52, no. 3, 8200704, p. 1-4 How to cite?
Journal: IEEE transactions on magnetics 
Abstract: A novel brushless electric continuous variable transmission (E-CVT) system is presented and optimized. The proposed system offers an alternative solution for a variable-speed constant-frequency operation of the wind turbine application. The key is to eliminate the gearbox and brushes in the machine and this E-CVT system comprises of two rotors and two stators within one machine. This design inherits and integrates the merits of the direct-drive permanent magnet generator and the doubly fed induction generator with the additional benefit of the improved torque density and the need for a low-cost partial-scale converter. The structure, operation principle, and performance are analyzed. Genetic algorithm is employed to optimize the parameters for maximizing its power density. Time-stepping finite-element method is used to analyze the dynamic performance of the proposed system.
URI: http://hdl.handle.net/10397/64507
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2015.2487995
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