Modelling and Identification of a Wind Turbine System

The paper discusses the identification of a Wind Energy Conversion System (WECS). Two different theoretical models of the system are first introduced, and a state equation constructed through linearisation and other simplifying assumptions. Using the Prediction Error Method identification algorithm,...

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Bibliographic Details
Published in:Wind engineering 1996-01, Vol.20 (4), p.203-218
Main Authors: Bao, N.Sh, Chen, Q.X., Jiang, T.
Format: Article
Language:English
Subjects:
Algorithms
Energy conversion
Equations of state
Linearization
Mathematical models
Modeling
Parameter estimation
Parametric models
Regression analysis
State estimation
Stochastic models
Time constants
Torque
Turbines
Wind power
Wind turbines
Wind velocity
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Summary:The paper discusses the identification of a Wind Energy Conversion System (WECS). Two different theoretical models of the system are first introduced, and a state equation constructed through linearisation and other simplifying assumptions. Using the Prediction Error Method identification algorithm, the model parameters are estimated using sampled data of system input and output. Experimental model structures are selected according to ARMAX, Box-Jenkins and General Linear classifications, with minimization of the performance index, and a MIMO identification technique is applied to the state equation. Finally the model systems are subjected to a detailed analytical comparison.
ISSN:0309-524X
2048-402X