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Title: Design and optimization of electric continuous variable transmission system for wind power generation
Authors: Wang, Y
Niu, S 
Fu, WN 
Ho, SL 
Issue Date: Mar-2016
Source: IEEE transactions on magnetics, Mar. 2016, v. 52, no. 3, 8200704, p. 1-4
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.
Keywords: Electric continuous variable transmission (E-CVT)
Genetic algorithm (GA)
Parameter optimize
Wind power
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on magnetics 
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2015.2487995
Rights: ©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication Y. Wang, S. Niu, W. N. Fu and S. L. Ho, "Design and Optimization of Electric Continuous Variable Transmission System for Wind Power Generation," in IEEE Transactions on Magnetics, vol. 52, no. 3, pp. 1-4, March 2016 is available at
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