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: Doubly fed induction generators, small-signal model, dynamic patterns, model order reduction, eigenvalues, participation factors
41 Cigre Session. Paris, France, paper A1-304. 27 August-1 September 2006
Published: August 2006.