DocumentCode
2801469
Title
Research of a New MPPT Strategy Based on Gray Wind Speed Prediction
Author
Guo, Peng
Author_Institution
Dept. Autom., North China Electr. Power Univ., Beijing, China
Volume
3
fYear
2009
fDate
Nov. 30 2009-Dec. 1 2009
Firstpage
120
Lastpage
123
Abstract
The maximum power point tracking (MPPT) strategy has great impact on the efficiency of the Variable-Speed Wind Turbine Generator (WTG) when the wind speed is below the rated speed. Now the MPPT has two control methods that are power control method and rotor speed control method. All of them had not used the wind speed information because the wind speed measured is usually inaccurate. In this paper, gray predictive theory is introduced in the control of WTG. The previous wind speed information is used to predict the wind speed of next time. The predictive speed obtained by gray method is used to calculate the initial WTG rotor speed of the MPPT searching process. Then rotor speed disturbance is added to the initial speed and finally the maximum power point is found. Simulations show that the gray wind speed prediction method can effectively reduce the MPPT searching area and search time. The effectiveness of the WTG is also improved.
Keywords
angular velocity control; machine control; rotors; turbogenerators; wind power; wind turbines; MPPT searching process; WTG rotor speed; gray wind speed prediction; maximum power point tracking; power control method; rotor speed control method; rotor speed disturbance; variable-speed wind turbine generator; Power control; Power generation; Prediction methods; Predictive models; Rotors; Velocity control; Velocity measurement; Wind energy generation; Wind speed; Wind turbines; gray wind speed prediction; hill climbing method; maximum power point tracking (MPPT); rotor speed control;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3888-4
Type
conf
DOI
10.1109/KAM.2009.208
Filename
5362422
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