DocumentCode :
3253155
Title :
A wind speed estimation method using adaptive Kalman filtering for a variable speed stall regulated wind turbine
Author :
Bourlis, Dimitris ; Bleijs, J.A.M.
Author_Institution :
Dept. of Eng., Univ. of Leicester, Leicester, UK
fYear :
2010
fDate :
14-17 June 2010
Firstpage :
89
Lastpage :
94
Abstract :
This paper presents a method for the estimation of the effective wind speed acting on the rotor of a wind turbine in order to be used for the control of a variable speed stall regulated wind turbine. The estimation algorithm consists of a Kalman filter, estimating the aerodynamic torque acting on the rotor of the turbine, and a Newton-Raphson method, which derives the effective wind speed from the aerodynamic torque. The Kalman filter is enhanced with adaptive algorithms that estimate the unknown covariances of the measurement and process noise respectively, keeping the filter continuously tuned close to its optimal behavior. The presented algorithm and results are based on a full model of a wind turbine, which entails the presence of two flexible shafts and three moments of inertia. From software and hardware simulation results it can be seen that the method is quite promising.
Keywords :
Newton-Raphson method; adaptive Kalman filters; noise; rotors; torque; velocity measurement; wind turbines; Newton-Raphson method; adaptive Kalman filtering; aerodynamic torque estimation; flexible shafts; hardware simulation; moments of inertia; noise; rotor; software simulation; variable speed stall regulated wind turbine control; wind speed estimation method; Adaptive algorithm; Adaptive filters; Aerodynamics; Filtering; Kalman filters; Newton method; Noise measurement; Torque; Wind speed; Wind turbines; adaptive Kalman filter; control of wind turbines; stall regulated wind turbines; wind estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5720-5
Type :
conf
DOI :
10.1109/PMAPS.2010.5528980
Filename :
5528980
Link To Document :
بازگشت