DocumentCode
1699293
Title
Variable universe adaptive fuzzy PI control used in VSCF wind power generator system
Author
Guolian, Hou ; Liping, Hu ; Jianhua, Zhang
Author_Institution
Dept. of Autom., North China Electr. Power Univ., Beijing, China
fYear
2010
Firstpage
4870
Lastpage
4874
Abstract
Wind power generation system is a complicated multivariable system with strong nonlinear, uncertainty and coupling. It´s difficult to build precise mathematical model by using conventional method. In order to capture maximum energy, variable universe adaptive fuzzy PI control based on stator flux oriented vector control is proposed, which is used to control the generator stator active and reactive power. Firstly, according to the power characteristics of wind turbine and generator power flow equations, the optimal stator active power reference value is obtained. Secondly, the model of doubly-fed induction generator (DFIG) is established. Then the variable universe fuzzy adaptive controller is designed. Finally, the proposed method is simulated with MATLAB/simulink at the time of wind speed lower than the rate, the results have confirmed the feasibility and performance of the control strategy.
Keywords
PI control; adaptive control; asynchronous generators; fuzzy control; machine vector control; multivariable systems; reactive power control; stators; wind power plants; wind turbines; MATLAB-simulink; VSCF wind power generator system; doubly-fed induction generator; generator power flow equation; generator stator active control; multivariable system; optimal stator active power reference value; reactive power control; stator flux oriented vector control; variable universe adaptive fuzzy PI control; wind turbine power characteristic; Adaptation model; Generators; Niobium; Rotors; Wind power generation; Wind speed; Wind turbines; DFIG; Wind power; fuzzy adaptive control; variable universe;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5554892
Filename
5554892
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