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oai:www.ideals.illinois.edu:2142/42259 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Domínguez-García, Alejandro D. Hughes, Justin T. 2013-02-03T19:29:31Z 2013-02-03T19:29:31Z 2012-12 2013-02-03T19:29:31Z 2012-12 Due to the increasing penetration of wind power, engineers are finding it useful to have models to investigate wind turbine performance. For different applications, an accurate modeling of aerodynamics, power electronics, electrical transients, or control systems are necessary. In other scenarios, these models may be unavailable or needlessly complex. Through use of singular perturbation analysis, this research shows that under normal system operating conditions the power injected in the network by a Type-C wind turbine generator (WTG) can be described by a first-order nonlinear dynamical model that relates the WTG power output to wind speed. In this work the proposed model is validated through simulation and comparison to a published differential algebraic equation model as well as comparison to wind and power data measured from a real wind turbine. A parameter identification problem is also explored using the same data set. This analysis shows that turbine parameters can be estimated during normal operation of the machine. This technique may also be used in planning studies or to identify malfunctioning or underperforming turbines that require maintenance. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2012-12-05T20:21:01Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Hughes_Justin.pdf: 565629 bytes, checksum: b42abfb6e869996c163ca52b7a725433 (MD5) Made available in DSpace on 2013-02-03T19:29:31Z (GMT). No. of bitstreams: 2 Justin_Hughes.pdf: 565629 bytes, checksum: b42abfb6e869996c163ca52b7a725433 (MD5) license.txt: 4062 bytes, checksum: 32f448b2c8a45e6efe314c3a63012f08 (MD5) http://hdl.handle.net/2142/42259 en Copyright 2012 Justin T. Hughes Parameter identification Model Order Reduction Type-C wind turbine Type-C wind turbine model order reduction and parameter identification text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS