Bak, Thomas

Knudsen, Torben

Soltani, Mohsen

English

In wind farms, individual turbines disturb the wind ﬁeld by generating wakes that inﬂuence other turbines in the farm.From a control point of view, there is an interest in dynamic optimization of the balance between fatigue and production,and an understanding of the relationship between turbines manifested through the wind ﬁeld is hence required. This paperdevelops models for this relationship. The result is based on two new contributions: the ﬁrst is related to the estimation ofeffective wind speeds, which serves as a basis for the second contribution to wind speed prediction models.Based on standard turbine measurements such as rotor speed and power produced, an effective wind speed, whichrepresents the wind ﬁeld averaged over the rotor disc, is derived. The effective wind speed estimator is based on acontinuous–discrete extended Kalman ﬁlter that takes advantage of nonlinear time varying turbulence models. The esti-mator includes a nonlinear time varying wind speed model, which compared with literature results in an adaptive ﬁlter.Given the estimated effective wind speed, it is possible to establish wind speed prediction models by system identiﬁcation.As the prediction models are based on the result related to effective wind speed, it is possible to predict wind speeds atneighboring turbines, with a separation of over 700 m, up to 1 min ahead reducing the error by 30% compared with apersistence method. The methodological results are demonstrated on data from an off-shore wind farm. Copyright © 2011John Wiley &amp; Sons, Ltd

Prediction models for wind speed at turbine locations in a wind farm

https://vbn.aau.dk/ws/files/56662193/Knudsen2011.pdf

Prediction models for wind speed at turbine locations in a wind farm

Abstract

Similar works

Full text

Available Versions

VBN