Design and Optimization of Electric Continuous Variable Transmission System for Wind Power Generation

• Published in: IEEE transactions on magnetics Vol. 52; no. 3; pp. 1 - 4
• Main Authors: Yunchong Wang, Shuangxia Niu, Fu, W. N., Ho, S. L.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-03-2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Brushes; Design analysis; Design engineering; Dynamical systems; Dynamics; E-CVT; genetic algorithm; Genetic algorithms; Harmonic analysis; Magnetism; Modulation; parameter optimize; Permanent magnets; Rotors; Torque; wind power; Wind power generation; Wind turbines; Windings; genetic algorithm (GA); parameter optimize; wind power; Electric continuous variable transmission (E-CVT)
• ISSN: 0018-9464; 1941-0069
• DOI: 10.1109/TMAG.2015.2487995

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.