By Topic

A wind speed estimation method using adaptive Kalman filtering for a variable speed stall regulated wind turbine

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Bourlis, D. ; Dept. of Eng., Univ. of Leicester, Leicester, UK ; Bleijs, J.A.M.

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.

Published in:

Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on

Date of Conference:

14-17 June 2010