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
Link To Document :
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