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Wind Turbine System Identification

by Sumit Tripathi

 

04 Sep 2009

Use system Identification techniques to predict power generation from wind turbine.

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Description

The goals of this project are to:
o Used ERA to investigate/estimate model order (degree) and State Space Model
o Compare Power Curves of identified model and Manufactures specifications
o Estimated/predicted output power based on wind speed input (ARX and ARMAX)
o Identify a SkyStream3.7 Wind turbine
o Used Optimal Filtering (Kalman Filter) for improved state prediction
 RPM and kW

Required Products Optimization Toolbox
MATLAB release MATLAB 7.5 (R2007b)
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Comments and Ratings (2)
29 Sep 2009 Erdal Bizkevelci  
12 Mar 2010 Tim Davis

Minor comment. You have a large data file called "Turbinedata_sky.m", which is not actually an m-file. I suggest you rename it to "Turbinedata_sky.txt" instead.

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Tag Activity for this File
Tag Applied By Date/Time
system identification Sumit Tripathi 08 Sep 2009 11:40:44
kalman filter Sumit Tripathi 08 Sep 2009 11:40:44
eigensystem realization algorithm Sumit Tripathi 08 Sep 2009 11:40:44
autoregressive Sumit Tripathi 08 Sep 2009 11:40:44
exogenous Sumit Tripathi 08 Sep 2009 11:40:44
era Sumit Tripathi 08 Sep 2009 11:40:44
modal amplitude coherence Sumit Tripathi 08 Sep 2009 11:40:44
linear programming Sumit Tripathi 08 Sep 2009 11:40:44
armax Sumit Tripathi 08 Sep 2009 11:40:44
dft Sumit Tripathi 08 Sep 2009 11:40:44
fft Sumit Tripathi 08 Sep 2009 11:40:44
coherence Sumit Tripathi 08 Sep 2009 11:40:44
arx Sumit Tripathi 08 Sep 2009 11:40:44
linear difference model Sumit Tripathi 08 Sep 2009 11:40:44
era Doru 10 Oct 2009 03:30:55
system identificationcodearx_modelm ketsu no ana 16 May 2010 08:50:30

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