Dynamic patterns and model order reduction in small-signal models of doubly fed induction generators for wind power applications

Author

Rouco, Luis ; Zamora, Juan L.

Author_Institution

Sch. of Eng., Universidad Pontificia Comillas, Madrid

fYear

0

fDate

0-0 0

Abstract

This paper investigates the dynamic patterns that arise in the small-signal models of doubly fed induction generators for wind power applications. Dynamic patterns are associations between eigenvalues and state variables of linear dynamic systems that can be identified using participation factors. Based on the identified dynamic patterns, reduced order models are proposed and compared with detailed models

Keywords

asynchronous generators; eigenvalues and eigenfunctions; linear systems; reduced order systems; wind power plants; doubly fed induction generators; dynamic patterns; eigenvalues; linear dynamic systems; model order reduction; participation factors; small-signal models; state variables; wind power; Eigenvalues and eigenfunctions; Induction generators; Power generation; Power system modeling; Power system stability; Stators; Voltage; Wind energy; Wind energy generation; Wind power generation; Doubly fed induction generators; dynamic patterns; eigenvalues; model order reduction; participation factors; small-signal model;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society General Meeting, 2006. IEEE

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0493-2

Type

conf

DOI

10.1109/PES.2006.1709515

Filename

1709515