Type-C wind turbine model order reduction and parameter identification

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2013

Author dc:creator

• Hughes, Justin T.

Contributors dc:contributor

• Domínguez-García, Alejandro D.

• Parameter identification
• Model Order Reduction
• Type-C wind turbine

Statement dc:rights

• Copyright 2012 Justin T. Hughes

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/42259

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/42259