DocumentCode :
582147
Title :
Wind Power Generation System using fuzzy extreme seeking control
Author :
Qi, Chen ; Shi-Hu, Wang ; Lin-Gao, Wang
Author_Institution :
Fac. of Electron. & Electr. Eng., Huaiyin Inst. of Technol., Huai´´an, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
3542
Lastpage :
3547
Abstract :
Below the rated wind speed, Wind Power Generation System tracks the optimum power coefficient curve for capturing maximum wind energy, through the control of the generator speed. At present, the more mature maximum power point tracking (MPPT) control method is "hill climbing" search control method and extreme seeking control method. In analyzing the shortcomings of the above two methods, an improved MPPT control method is proposed, that is fuzzy extreme seeking control. Simulation results show that the proposed improved MPPT control method is effective, even if wind speed changes in large-scale, and the generator parameters are not accurate and detailed, the system can quickly reach the optimum position, and in the vicinity of the optimum position, the system can run smoothly.
Keywords :
angular velocity control; electric generators; fuzzy control; maximum power point trackers; optimal control; power generation control; wind power plants; MPPT control method; fuzzy extreme seeking control; generator parameters; generator speed control; hill climbing search control method; maximum power point tracking; optimum power coefficient curve; wind energy; wind power generation system; Electronic mail; MATLAB; Optimized production technology; Wind power generation; Wind speed; Extreme Seeking Control; Fuzzy; Maximum Power Point Tracking; Wind Power Generation System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
ISSN :
1934-1768
Print_ISBN :
978-1-4673-2581-3
Type :
conf
Filename :
6390537
Link To Document :
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